#Journals on Medical Informatics
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Updates on Urgency of Treating Stroke
Updates on Urgency of Treating Stroke in Biomedical Journal of Scientific & Technical Research
It is a proof of concept that time is muscle in treating myocardial infarction and even if for any reason you missed the boat in timely management of heart attack, we postulate that probably you might have a second chance which is heart transplant if patient meets the requirement, and this is not an excuse for not treating the heart attack very urgently [1]. The situation in stroke is more serious and more urgent [2] as you need to exclude stroke mimics in a very short time to make a therapeutic decision, in a large vessel stroke [middle cerebral artery stroke]. There is a loss of 2 million nerve cells per each minute delay [3] which is correlated with loss of 1.8 days of healthy life [3], After saucerful treatment of heart attack you can still run a marathon in contrast of stroke that you might need to lose few brain cells to be in a vegetative state. Most of strokes are ischemic, around 80%, less than 15% are hemorrhagic, and less than 2% are venous stroke (cortical or cerebral venous stroke) [4]. Treatment of each type of stroke is quite different, and all types of strokes is emergency and needs to confirm the diagnosis.
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#journals on biomedical imaging#journals on medical informatics#journals on biomedical science#biomedical open access journals#open access clinical and medical journal
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Also preserved in our archive (Updated daily!)
Researchers report that a new AI tool enhances the diagnostic process, potentially identifying more individuals who need care. Previous diagnostic studies estimated that 7 percent of the population suffers from long COVID. However, a new study using an AI tool developed by Mass General Brigham indicates a significantly higher rate of 22.8 percent.
The AI-based tool can sift through electronic health records to help clinicians identify cases of long COVID. The often-mysterious condition can encompass a litany of enduring symptoms, including fatigue, chronic cough, and brain fog after infection from SARS-CoV-2.
The algorithm used was developed by drawing de-identified patient data from the clinical records of nearly 300,000 patients across 14 hospitals and 20 community health centers in the Mass General Brigham system. The results, published in the journal Med, could identify more people who should be receiving care for this potentially debilitating condition.
“Our AI tool could turn a foggy diagnostic process into something sharp and focused, giving clinicians the power to make sense of a challenging condition,” said senior author Hossein Estiri, head of AI Research at the Center for AI and Biomedical Informatics of the Learning Healthcare System (CAIBILS) at MGB and an associate professor of medicine at Harvard Medical School. “With this work, we may finally be able to see long COVID for what it truly is — and more importantly, how to treat it.”
For the purposes of their study, Estiri and colleagues defined long COVID as a diagnosis of exclusion that is also infection-associated. That means the diagnosis could not be explained in the patient’s unique medical record but was associated with a COVID infection. In addition, the diagnosis needed to have persisted for two months or longer in a 12-month follow-up window.
Precision Phenotyping: A Novel Approach The novel method developed by Estiri and colleagues, called “precision phenotyping,” sifts through individual records to identify symptoms and conditions linked to COVID-19 to track symptoms over time in order to differentiate them from other illnesses. For example, the algorithm can detect if shortness of breath results from pre-existing conditions like heart failure or asthma rather than long COVID. Only when every other possibility was exhausted would the tool flag the patient as having long COVID.
“Physicians are often faced with having to wade through a tangled web of symptoms and medical histories, unsure of which threads to pull, while balancing busy caseloads. Having a tool powered by AI that can methodically do it for them could be a game-changer,” said Alaleh Azhir, co-lead author and an internal medicine resident at Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare system.
The new tool’s patient-centered diagnoses may also help alleviate biases built into current diagnostics for long COVID, said researchers, who noted diagnoses with the official ICD-10 diagnostic code for long COVID trend toward those with easier access to healthcare.
The researchers said their tool is about 3 percent more accurate than the data ICD-10 codes capture, while being less biased. Specifically, their study demonstrated that the individuals they identified as having long COVID mirror the broader demographic makeup of Massachusetts, unlike long COVID algorithms that rely on a single diagnostic code or individual clinical encounters, skewing results toward certain populations such as those with more access to care.
“This broader scope ensures that marginalized communities, often sidelined in clinical studies, are no longer invisible,” said Estiri.
Limitations and Future Directions Limitations of the study and AI tool include the fact that health record data the algorithm uses to account for long COVID symptoms may be less complete than the data physicians capture in post-visit clinical notes. Another limitation was the algorithm did not capture the possible worsening of a prior condition that may have been a long COVID symptom. For example, if a patient had COPD that worsened before they developed COVID-19, the algorithm might have removed the episodes even if they were long COVID indicators. Declines in COVID-19 testing in recent years also makes it difficult to identify when a patient may have first gotten COVID-19.
The study was limited to patients in Massachusetts.
Future studies may explore the algorithm in cohorts of patients with specific conditions, like COPD or diabetes. The researchers also plan to release this algorithm publicly on open access so physicians and healthcare systems globally can use it in their patient populations.
In addition to opening the door to better clinical care, this work may lay the foundation for future research into the genetic and biochemical factors behind long COVID’s various subtypes. “Questions about the true burden of long COVID — questions that have thus far remained elusive — now seem more within reach,” said Estiri.
Reference: “Precision phenotyping for curating research cohorts of patients with unexplained post-acute sequelae of COVID-19” by Alaleh Azhir, Jonas Hügel, Jiazi Tian, Jingya Cheng, Ingrid V. Bassett, Douglas S. Bell, Elmer V. Bernstam, Maha R. Farhat, Darren W. Henderson, Emily S. Lau, Michele Morris, Yevgeniy R. Semenov, Virginia A. Triant, Shyam Visweswaran, Zachary H. Strasser, Jeffrey G. Klann, Shawn N. Murphy and Hossein Estiri, 8 November 2024, Med. DOI: 10.1016/j.medj.2024.10.009 www.cell.com/med/fulltext/S2666-6340(24)00407-0?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2666634024004070%3Fshowall%3Dtrue
#long covid#covid is airborne#mask up#public health#pandemic#covid#wear a respirator#wear a mask#covid 19#coronavirus#covid is not over#covid conscious#still coviding#sars cov 2
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Journal of the American Medical Informatics Association’da okuduğum makaleye göre, hangi ayda doğduğun hasta olma eğilimlerini etkileyen bir faktörmüş. Aslında bu bilinmeyen bir şey değil, Hipokrat doğum tarihi ve mevsimsel hastalıklar arasındaki ilişkiye ta kendi çağında değinmiş fakat Columbia Üniversitesi bu iddiayı daha etraflı bir biçimde analiz etmiş. 1900 ve 2000 yılları arasında doğmuş olan 1.749.400 insanın hastane kayıtlarını incelemişler ve hastalığa yakalanma oranlarını doğum aylarına göre sınıflandırmışlar, araştırmanın neticesinde 16 farklı bulgu elde etmişler.
Örneğin, Mayıs ayında doğanlarda hastalığa yakalanma oranları en düşükken, Ekim ve Kasım doğumlular bu hususta sıçmış durumda, en çok bu iki ayda doğanlar hastalanıyormuş. Şubat, Mart, Nisan ve Temmuz ayları da bu araştırmada şanslı konumda.
Yaz sonunda doğanlar, yenidoğan evresindelerken neme ve toza daha çok maruz kaldıkları için astıma, sonbahar mevsimlerinde doğanlar da yeteri kadar güneş ışığı alamadıklarından ötürü D-vitamini eksikliğine bağlı hastalıklara daha yatkın oluyorlarmış. Aralıkta doğanlar soğuktan ötürü akut bronşite, kasımda doğanlar viral hastalıklara daha çabuk yakalanıyorlarmış. Bunun gibi pek çok sınıflandırma mevcut. Tabii doğacak olan bebek henüz karındayken annenin hangi ayda neye maruz kaldığı da belirleyici bir etken oluyor; mesela annenin hamileliği alerjilerin coştuğu mevsimlere denk gelirse çocuk ona daha bağışıklı bir biçimde doğabiliyor, vb.
Ekim ve Kasım aylarında doğanlar aşağıya yorum bıraksınlar da onları iyi dileklerimizle koruma kalkanına alalım hemen bi’, kıyamam =D
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Research connecting the Medical & CS field
A Novel Software Engineering Approach Toward Using Machine Learning for Improving the Efficiency of Health Systems | IEEE Journals & Magazine | IEEE Xplore M. Moreb, T. A. Mohammed and O. Bayat, "A Novel Software Engineering Approach Toward Using Machine Learning for Improving the Efficiency of Health Systems," in IEEE Access, vol. 8, pp. 23169-23178, 2020, doi: 10.1109/ACCESS.2020.2970178. keywords: {Machine learning;Software;Machine learning algorithms;Software engineering;Informatics;Task analysis;Software algorithms;Health dataset analysis;machine learning;methodology;software development management;software engineering},
This research shows the connection between the medical field and computer science by discussing machine learning and software engineering in healthcare. I recommend you read this especially if you are interested in having a job in health informatics or the medical field!
In the comments, looking at the research, do you think machine learning will get more accurate in the future? How do you think it will benefit your country and the world?
Please like, reblog, or share this!
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Gap Analysis for Santa Rosa Medical group
Reference:
Centers for Medicare & Medicaid Services. (2023). COVID-19 Healthcare Data. Retrieved from https://www.cms.gov/covid-19
Smith, J. (2023). The Hidden Costs of Big Data. Forbes. Retrieved from https://www.forbes.com/sites/forbesfinancecouncil/2023/01/15/the-hidden-costs-of-big-data/
Jones, A. (2022). How Much Does a Data Breach Cost?. Security Magazine. Retrieved from https://www.securitymagazine.com/articles/97043-how-much-does-a-data-breach-cost
Roberts, L. (2023). The Price You Pay for Poor Data Quality. Data Quality Solutions. Retrieved from https://www.dataqualitysolutions.com/the-price-you-pay-for-poor-data-quality
Yahoo Finance. (2024). Santa Rosa Medical Group (SRMG) Historical Data. Retrieved from https://finance.yahoo.com/quote/SRMG/history
Reuters. (2023). Healthcare Stocks Surge Amid Regulatory Changes. Reuters. Retrieved from https://www.reuters.com/business/healthcare-stocks-surge-2023
Health Affairs. (2023). Impact of COVID-19 on Telehealth Utilization. Health Affairs Blog. Retrieved from https://www.healthaffairs.org/do/10.1377/hblog20230115.176657/full/
American Hospital Association. (2022). Trends in Telehealth. Retrieved from https://www.aha.org/system/files/media/file/2022/12/trends-in-telehealth-2022.pdf
New York Stock Exchange. (2024). Santa Rosa Medical Group Financial Statements. Retrieved from https://www.nyse.com/quote/SRMG/financials
Barker, K. L., & Pinsonneault, A. (2021). Integrating clinical input into healthcare business intelligence systems: Best practices and case studies. Journal of Healthcare Informatics Research, 5(2), 113-129. https://doi.org/10.1007/s41666-021-00057-5
Ghosh, R., & Scott, J. E. (2020). Challenges of implementing electronic medical records across health systems. Healthcare Management Review, 45(3), 175-182. https://doi.org/10.1097/HMR.0000000000000312
Healthcare Information and Management Systems Society. (2019). Best practices for electronic medical records and data management in healthcare. HIMSS. https://www.himss.org/resources
Community Health Systems. (2020). Improving communication with third-party vendors in healthcare. CHS Vendor Management Report. https://www.chs.net/reports/vendor-communication
Santa Rosa Medical Group. (2023). Annual report: EMR system and medical transportation service challenges. Internal Publication. Santa Rosa Medical Group.
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The Influence of Data Science on Healthcare Outcomes
Data science is transforming healthcare by enabling more personalized, efficient, and effective medical care. Through advanced analytics, machine learning, and big data technologies, data science provides insights that improve patient outcomes and streamline healthcare operations. Here’s a look at how data science is impacting healthcare:
1. Personalized Medicine
Tailored Treatments: Data science enables personalized medicine by analyzing genetic, environmental, and lifestyle data to tailor treatments to individual patients. For example, genomic data can identify which medications are most effective for a specific genetic profile, improving treatment efficacy. According to a study in Nature Reviews Genetics, personalized treatments can increase drug response rates by up to 30%.
2. Improved Diagnostic Accuracy
AI-Powered Imaging: Machine learning algorithms enhance diagnostic accuracy by analyzing medical images, such as X-rays and MRIs, with greater precision. For example, AI systems can detect early signs of diseases like cancer more accurately than traditional methods. A study published in JAMA Oncology found that AI models improved diagnostic accuracy for breast cancer by 10%.
Natural Language Processing (NLP): NLP tools analyze unstructured data from electronic health records (EHRs) to extract valuable information, such as symptoms and patient history. This helps in diagnosing conditions more accurately and efficiently. A report from Healthcare Informatics highlights that NLP can reduce diagnostic errors by up to 15%.
3. Operational Efficiency
Optimizing Resource Allocation: Data science helps healthcare providers optimize resource allocation by analyzing patient flow, staffing needs, and hospital utilization rates. Predictive models can forecast patient admissions and adjust resources accordingly, reducing wait times and improving care delivery. According to a study in Health Affairs, data-driven resource management can reduce operational costs by up to 20%.
Streamlining Administrative Tasks: Automation and data analytics streamline administrative tasks, such as billing and claims processing. Machine learning algorithms can detect anomalies in billing patterns and reduce fraud. Research from McKinsey indicates that automation can cut administrative costs by up to 30%.
4. Enhancing Patient Engagement
Personalized Health Recommendations: Data science-driven apps and platforms provide personalized health recommendations and reminders based on individual health data. These tools engage patients in managing their health, leading to better adherence to treatment plans. A study in Journal of Medical Internet Research found that personalized health apps improve patient engagement by 25%.
Virtual Health Assistants: AI-powered virtual assistants offer patients information, answer health-related questions, and provide support for managing chronic conditions. These tools enhance patient support and can address common inquiries efficiently. According to Forbes, virtual health assistants can reduce patient support costs by 15%.
5. Drug Discovery and Development
Accelerating Research: Data science accelerates drug discovery by analyzing vast amounts of biomedical data to identify potential drug candidates and predict their effectiveness. Machine learning models can simulate drug interactions and predict side effects, speeding up the research process. Research published in Nature Biotechnology highlights that data-driven approaches can reduce drug development time by up to 50%.
Clinical Trials Optimization: Data analytics improves the design and execution of clinical trials by identifying suitable candidates, monitoring trial progress, and analyzing results. This enhances the accuracy of trial outcomes and reduces time to market. A report from Clinical Trials Arena found that data-driven trial optimization can decrease development costs by up to 20%.
6. Future Directions
Integration with Wearable Technology: The integration of data science with wearable technology provides real-time health monitoring and personalized insights. Wearables collect data on vital signs, physical activity, and sleep patterns, which data science analyzes to offer actionable health recommendations.
Advancements in AI and Deep Learning: As AI and deep learning technologies advance, their application in healthcare will become more sophisticated, leading to further improvements in diagnostics, treatment personalization, and operational efficiency.
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Dr. Chester Brown (1963) is a medical geneticist who serves as the St. Jude Chair of Excellence in Genetics, the Division Chief of Genetics at the University of Tennessee Health Center, Le Bonheur Children’s Hospital in Memphis, and is a professor of pediatrics, genetics, genomics, and informatics at the University of Tennessee. He has dedicated much of his career to studying the genetic factors that play into body fat distribution as well as how host genomic factors play a role in influencing HIV and tuberculosis in African children. He has offered innovative training to African scientists conducting similar studies. Alongside his hopes to diversify the research community, he hopes to educate the local Memphis community on the significance of genomics.
He helped introduce medical outreach programs to the Memphis community, he was a medical genetics fellow at Baylor College of Medicine as well as a postdoctoral research fellow. He completed his medical residency at Baylor College and worked as a pediatrics intern. He earned his BS at Howard University, where he double majored in Zoology and Chemistry. He received both his MD and Ph.D. at the University of Cincinnati.
He has focused his research and scholarship efforts on general obesity, adipocyte biology, and the TGF-beta family. As an active member of the Society for Pediatric Research and a research associate at the National Institutes of Health in the Cellular Aspects of Diabetes and Obesity study section, he explores how genomics can be utilized to diagnose and manage genetic disorders on a global level. He is a co-investigator at the Collaborative African Genomic Network and Human and Health in Africa, both funded by the NIH, where he contributes to research on HIV and HIV-TB in African children.
He has published over thirty articles in various science and medical journals and has been repeatedly awarded for his groundbreaking work in medical genetics and pediatrics. A select few of his awards include the Houston Black MBA Leadership Empowerment Award for Science and Health by the Houston Black MBA Association and the 1,000 Inspiring Black Scientists in America. #africanhistory365 #africanexcellence
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Laboratory Information Management System (LIMS) Market Worth $3.8 billion by 2029
The size of global laboratory information management system market in terms of revenue was estimated to be worth $2.1 billion in 2024 and is poised to reach $3.8 billion by 2029, growing at a CAGR of 12.9% from 2024 to 2029. The comprehensive research encompasses an exhaustive examination of industry trends, meticulous pricing analysis, patent scrutiny, insights derived from conferences and webinars, identification of key stakeholders, and a nuanced understanding of market purchasing dynamics.
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Driver: Growing use of LIMS to comply with stringent regulatory requirements Automating routine lab procedures with the help of devoted workstations and software improves lab productivity and enables individual researchers to focus on important tasks. This is a major factor driving the adoption of informatics in the pharmaceutical and biotechnology industry. According to a study, error rates for fully automated operations vary from 1–5%, those for semi-automated operations range from 1–10%, while those for manual operations vary from 10–30% (Source: Journal of Lab Automation).
Restraint: High maintenance and service costs The high maintenance and service costs associated with LIMS solutions can significantly impact the growth of the LIMS market. While LIMS solutions offer numerous benefits in terms of streamlining laboratory workflows and improving data management, the costs involved in maintaining and servicing these systems can pose challenges for organizations, especially smaller laboratories or those with limited budgets.
Opportunity: Growing use of LIMS in cannabis industry
Medical cannabis has demonstrated effectiveness in a range of medical applications, including alleviating chemotherapy-induced nausea, stimulating appetite in AIDS patients, managing muscular spasms in multiple sclerosis patients, and reducing intraocular pressure in glaucoma patients. Due to these potential health benefits, numerous countries and states have legalized medical cannabis. This legalization has spurred the emergence of cannabis testing laboratories, which offer quality control services for the medical cannabis industry.
Challenge: Dearth of trained professionals With the growing trend towards digitization, the healthcare industry's adoption of IT solutions has surged significantly over the past decade. This has led to an increased demand for skilled IT professionals and individuals with advanced analytical capabilities to interpret data from CIT solutions, including LIMS. However, a substantial gap exists between the supply and demand for these skilled professionals, which may hinder the adoption of LIMS, especially in pharmaceutical, biotechnology, and medical device companies, which represent over 50% of the LIMS market.
North America dominated the laboratory information management system industry in 2023 The laboratory information management system market is segmented into five major regions- North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. North America accounted for the largest share of the Laboratory Information Management Systems (LIMS) market. This growth is propelled by factors such as the region's high per-capita healthcare expenditure, continuous innovation in laboratory technologies, and the integration of LIMS with Enterprise Resource Planning (ERP) and Clinical Decision Support (CDS) systems. The accessibility to advanced healthcare facilities and the increasing number of biobanks further contribute to the expanding LIMS market in North America. Additionally, the emphasis on quality control, regulatory compliance, and the adoption of digitization in laboratory processes are driving the demand for LIMS solutions in the region. Overall, the North American market's robust growth in the LIMS sector can be attributed to a combination of technological advancements, regulatory requirements, and the healthcare industry's evolving needs.
Prominent companies in this market include LabWare (US), LabVantage Solutions Inc. (US), Thermo Fisher Scientific Inc. (US), Agilent Technologies (US), LabLynx, Inc. (US), Dassault Systèmes (France), Labworks LLC (US), Autoscribe Informatics (a wholly owned subsidiary of Autoscribe Limited) (US), Accelerated Technology Laboratories (ATL) (US), CloudLIMS (US), Computing Solutions, Inc. (US), GenoLogics Inc. (an Illumina Company) (Canada), Siemens (Germany), Novatek International (Canada), Ovation (US), Clinsys (US), Eusoft Ltd. (Italy), Caliber International (US), LABTrack (US), Agilab SAS (US), Agaram Technologies (India), and AssayNet Inc. (Canada), Blaze Systems Corporation (US), and LabLogic Systems Limited (UK).
Recent Developments of the Laboratory Information Management Systems (LIMS) Industry:
In February 2024, Labware has inaugurated its newest office in Seoul, Korea and established LabWare Korea Co., Ltd. This office will provide localized support, training, and implementation services to LabWare's growing customer network in Korea. Staffed by experienced LIMS professionals, the office aims to strengthen LabWare's foothold in the Asia-Pacific region by offering tailored solutions to meet the unique needs of Korean organizations.
In January 2024, STARLIMS has launched Life Sciences for Public Health (LPH) 1.0, a LMS tailored for the Public Health sector. Featuring HTML5 browser-based technology, it signifies a significant advancement, promising a modernized user interface and enhanced functionalities. The release marks the beginning of a comprehensive, multi-year product roadmap aiming to elevate user experience and innovation in the Public Health LIMS market.
In Novemeber 2023, LabWare (US) partnered with Körber (US). This partnership was carried to seamlessly integrate capabilities between LabWare's Laboratory Information Management System (LIMS) and Körber's Manufacturing Execution System (MES) - PAS-X.
In October 2022, LabVantage Solutions, Inc. (US) and Biomax Informatics AG (Germany) finalized their merger agreement, with the goal of elevating scientific data contextualization, expediting product development, and delivering innovative capabilities for the life science and bio-manufacturing industries.
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#Laboratory Information Management System Market#Laboratory Information Management System Market Demand
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Achievers University Recruitment : Internal And External Advertisement For Academic And Non-teaching Positions. SCAM ALERT Application is free for all Applicants As a result of rapid expansion and the urgent need to reposition the University for the sustenance of our remarkable achievements, we are currently seeking exceptionally qualified staff with integrity and demonstrable leadership qualities to join our team in moving the University forward in its next phase of growth and development. Applications are thus invited from suitably qualified candidates to fill the following positions either on full-time basis or for sabbatical placements: Also Apply for Wigwe University Massive Recruitment for Non-Academic Staff A. COLLEGE OF HEALTH SCIENCES. 1. FACULTY OF PHARMACY. (i) Clinical Pharmacy and Pharmacy Administration (ii) Pharmaceutical Chemistry (iii) Pharmaceutical Microbiology and Biotechnology (iv) Pharmaceutics and Pharmaceutical Technology (v) Pharmacology and Toxicology (vi) Pharmacognosy 2. FACULTY OF NURSING SCIENCE (i) Community-Public Health Nursing (ii) Maternal-Child Health Nursing (iii) Medical-Surgical Nursing (iv) Mental Health Nursing (v) Nursing Education, Administration and Informatics 3. FACULTY OF MEDICAL LABORATORY SCIENCE (i) Medical Microbiology and Parasitology (ii) Chemical Pathology (iii) Histopathology and Cytopathology (iv) Haematology and Blood Transfusion Science 4. FACULTY OF ALLIED HEALTH SCIENCES (i) Physiotherapy (ii) Public Health (iii) Health Information Management B. COLLEGE OF MEDICINE 1. FACULTY OF BASIC CLINICAL SCIENCES (i) Anatomic Pathology (ii) Haematology and Blood Transfusion (iii) Medical Microbiology and Parasitology (iv) Pharmacology 2. FACULTY OF BASIC MEDICAL SCIENCES (i) Human Anatomy (ii) Human Physiology (iii) Medical Biochemistry C. COLLEGE OF ENGINEERING AND TECHNOLOGY (i) Biomedical Engineering (ii) Computer Engineering (iii)Mechatronics Engineering (iv) Mechanical Engineering (v) Electrical and Electronics Engineering (vi) Civil and Environmental Engineering D. COLLEGE OF NATURAL AND APPLIED SCIENCES (i) Biochemistry (ii) Industrial Chemistry (iii) Computer Science (iv) Geology (v) Remote Sensing and Geoscience Information System (vi) Microbiology (vii) Plant Science and Biotechnology E. COLLEGE OF LAW (i)Private and Business Law (ii) Public and International Law F. COLLEGE OF SOCIAL AND MANAGEMENT SCIENCES (i)Accounting (ii) Business Administration (iii) Economics (iv) Mass Communication (v) Political Science (vi) International Relations (vii) Public Administration (viii) Criminology and Security Studies (ix.) Sociology (x) Procurement Management (xi) Banking and Finance G. COLLEGE OF EDUCATION (i) Guidance and Counselling (ii) Library and Information Science QUALIFICATIONS AND EXPERIENCE Professor The candidates must possess Ph.D. in the relevant subject areas with at least twelve (12) years of teaching, research, community service and professional experience in a university or any other tertiary research-oriented institution. Applicants must have a record of substantial publications in local and international journals, evidence of postgraduate supervision, and ability to initiate and develop research. For disciplines in the Faculty of Basic Medical Sciences , candidates must possess MBBS or BDS, which should be registered with the Medical and Dental Council of Nigeria (MDCN). They must have Ph.D. in their respective fields (Physiology, Anatomy or Biochemistry) or Fellowship of any of the Postgraduate Medical Colleges with a minimum of nine (9) years’ teaching and research experience in a university. The candidates, who must have been Readers (Associate Professors) for a minimum of three (3) years, must be willing to initiate and develop courses at both undergraduate and postgraduate levels, and must be able to supervise postgraduate students, including doctorate students, in his/her area of discipline. In addition, candidates must demonstrate
evidence of academic leadership, evidence of teamwork as well as administrative experience in working with interdisciplinary groups. Registration with professional bodies, where applicable, is compulsory. Reader (Associate Professor) The candidates must possess Ph.D. in the relevant subject areas with at least ten (10) years of teaching, research, community service and professional experience in a university or any other tertiary institution. They must have a record of substantial publications, with focus on distinct areas of research, in local and international journals; evidence of postgraduate supervision; and ability to initiate and develop research. Registration with professional bodies, where applicable, is compulsory. For disciplines in the Faculty of Basic Medical Sciences , candidates must possess MBBS or BDS, which should be registered with the Medical and Dental Council of Nigeria (MDCN). They must have Ph.D. in their respective fields (Physiology, Anatomy or Biochemistry) or Fellowship of any of the Postgraduate Medical Colleges with a minimum of six (6) years’ teaching and research experience in a university. The candidates, who must have been Senior Lecturers for a minimum of three (3) years, must be willing to initiate and develop courses at both undergraduate and postgraduate levels, and must be able to supervise postgraduate students in their areas of discipline. In addition, the candidates must possess a good measure of academic leadership, evidence of teamwork as well as administrative experience in working with interdisciplinary groups. Registration with professional bodies, where applicable, is compulsory. Senior Lecturer Candidates must possess Ph.D. in their relevant subject areas with a minimum of five (5) years of teaching, research, community service and professional experience in a university or any other tertiary research-oriented institution. They must have a record of substantial publications with distinctive academic quality, originality and contribution to knowledge in a focused area of research and in reputable local and international journals. Registration with professional bodies, where applicable, is compulsory. For disciplines in the Faculty of Basic Medical Sciences, candidates must possess MBBS or BDS, which should be registered with the Medical and Dental Council of Nigeria (MDCN). They must have Ph.D. in their respective fields (Physiology, Anatomy or Biochemistry) or Fellowship of any of the Postgraduate Medical Colleges with a minimum of three (3) years’ teaching and research experience in a University. Lecturer I Candidates must possess Ph.D. in the relevant subject area with at least three (3) years post-qualification experience in teaching, research as well as a good number of publications with outstanding academic quality, originality and contribution to knowledge in an emerging area of interest in local and international journals. Holders of a good master’s degree with evidence of registration for Ph.D. and progress report as well as a substantial number of publications and teaching experience can also apply. Registration with professional bodies, where applicable, is compulsory. For disciplines in the Faculty of Basic Medical Sciences, candidates must possess MBBS or BDS, which should be registered with the Medical and Dental Council of Nigeria (MDCN). They must have Ph.D. in their respective fields (Physiology, Anatomy or Biochemistry) or Fellowship of any of the Postgraduate Medical Colleges. (v.) Lecturer II (For disciplines in the Faculty of Basic Medical Sciences) Applicants must possess MBBS or BDS, which should be registered with the Medical and Dental Council of Nigeria (MDCN). Applicants must have master’s degree in their respective fields (Physiology, Anatomy or Biochemistry) or membership of any of the Postgraduate Medical Colleges. NON-TEACHING POSITIONS 1. Deputy Registrar Candidate must possess a bachelor’s degree plus at least fifteen (15) years’ post-qualification
experience, eight (8) of which must be in the administration of higher education OR a master’s degree plus at least twelve (12) years’ relevant post-qualification experience. 2. Principal Assistant Registrar Candidate must possess a bachelor’s degree plus at least ten (10) years’ post-qualification experience, six (6) of which must be in the administration of higher education OR a master’s degree plus at least nine (9) years’ relevant post-qualification experience. 3. Senior Assistant Registrar Candidate must possess a bachelor’s degree plus at least eight (8) years’ post-qualification experience, four (4) of which must be in the administration of higher education OR a master’s degree plus at least six (6) years’ post-qualification experience, three (3) of which must be in the administration of higher education. 4. Assistant Registrar Candidate must possess a bachelor’s degree with at least Second Class Honours (Upper Division) in humanities, social sciences or Law plus at least six (6) years’ post-qualification experience, three (3) of which must be in the administration of higher education OR master’s degree plus at least four (4) years relevant post-qualification experience. 5. Administrative Officer Candidate must possess a minimum of bachelor’s degree with at least Second Class Honours (Upper Division) in humanities, social sciences or Law. Membership of the University’s alumni will be an added advantage. 6. Assistant Chief Accountant. Candidate must possess a bachelor’s degree in Accounting plus ten (10) years’ relevant post-qualification experience OR a bachelor’s degree plus master’s/membership of ACA, ACCA, ACMA or their equivalent with eight (8) years’ relevant post-qualification experience. 7. Principal Accountant Candidate must possess a bachelor’s degree in Accounting plus eight (8) years’ relevant post-qualification experience OR a bachelor’s degree plus master’s/membership of ACA, ACCA, ACMA or their equivalent with six (6) years’ relevant post-qualification experience. 8. Senior Accountant Candidate must possess a bachelor’s degree in Accounting plus six (6) years’ relevant post-qualification experience OR a bachelor’s degree plus master’s/membership of ACA, ACCA, ACMA or their equivalent with three (3) years’ relevant post-qualification experience. 9. Head of Corporate Affairs Unit/Public Relations Officer Candidate must possess at least a bachelor’s degree in Mass Communication or humanities with at least nine years’ post-qualification experience in print, electronic and practical public relations. The ideal candidate must have hands-on experience in the use of the social media and event management. Membership of NIPR or its equivalent is a key requirement for this job. 10. Corporate Affairs Officer I (Editorial and Publications) Candidate must possess at least a bachelor’s degree in Mass Communication or humanities with three years’ post-qualification experience in print and new/social media. Membership of NUJ or NIPR is required. 11. Operations Manager (Achievers University Ventures) The successful candidate will assist the General Manager of the University Ventures in coordinating the University Bakery, Water Processing Plant, Sawmill, Guest House, etc. Applicants must possess a minimum of bachelor’s degree Second Class (Upper Division) in a Management Sciences discipline plus at least eight years’ relevant post-qualification experience. Possession of postgraduate certificates and managerial experience will be added advantage. Laboratory Technologist Cadre The University needs laboratory technologists to man its specialized laboratories in the College of Medicine, College of Health Sciences, and College of Natural and Applied Sciences. 12. Chief Technologist Candidate must possess Higher National Diploma (with Upper Credit) or bachelor’s degree in Science Laboratory Technology or other relevant areas with at least thirteen (13) years’ working experience of practical skills and competence. Fellowship of NISLT is compulsory.
13. Principal Technologist Candidate must possess Higher National Diploma (with Upper Credit) or bachelor’s degree in Science Laboratory Technology or other relevant areas with at least ten (10) years’ working experience of practical skills and competence. Fellowship of NISLT is compulsory. 14. Senior Technologist Candidate must possess Higher National Diploma (with Upper Credit) or bachelor’s degree in Science Laboratory Technology or other relevant areas with at least six (6) years’ working experience of practical skills and competence. Associate Membership of NISLT is compulsory. 15. Technologist I Candidate must possess Higher National Diploma (with Upper Credit) or bachelor’s degree in Science Laboratory Technology or other relevant areas with at least three (3) years’ working experience of practical skills and competence. Associate Membership of NISLT is an added advantage. 16. Technologist II Candidate must possess Higher National Diploma (with Upper Credit) in Science Laboratory Technology or other relevant areas. Membership of NISLT is an added advantage. Achievers University Recruitment SALARIES AND CONDITIONS OF SERVICE. Salaries, allowances and other benefits, including contributory pension scheme, are as approved by the Governing Council of Achievers University, and are favourably compared with what are obtainable in other public and private universities. Achievers University Recruitment METHOD OF APPLICATION. Candidates are required to submit 10 hard copies of their applications along with their credentials (O Level results inclusive) and curriculum vitae, which should contain, among other things, Full Name, Place and Date of Birth, State of Origin/Local Government of Origin, Nationality, Permanent Home Address, Email Address, Telephone Number, Marital Status, Names and Ages of Children, Name and Address of Next of Kin, Names of Educational Institutions Attended with Dates, Academic/Professional Qualifications with Dates, Work Experience, Posts Held with Dates, Present Employment, Status and Salary (attach pay slip), Service to National and International Bodies, Conferences, Training and Workshops Attended, (for Academic Posts – Current Research, Details of Publications, including Authorship, Names of Journals in Which They Are Published, and Location and Date of Publication), Other Activities Under Current Employment, Names, Addresses (including their emails) and Telephone Numbers of Three (3) Referees, and Proposed Date of Availability for Duty if Appointed to The Registrar, Achievers University, P.M.B. 1030, Owo, Ondo State. Applicants should request their referees to forward their references directly to the same address. CLOSING DATE for Achievers University Recruitment All applications must be received by the University not later than 23rd August, 2024. For further information, please contact: Adebayo – [email protected] – 0803-343-2195 Adeniran – [email protected] –0803-222-9522 Rev. Canon S. B. Oladimeji Registrar Achievers University … Knowledge, Integrity and Leadership
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Jubilant Drug Discovery and Development Services (JDDDS), is part of the Jubilant LifeSciences family of companies with R&D Centers in India, USA and business offices in Asia, Europe and North America. JDDDS has a global reach and provides comprehensive drug discovery and development solutions from target discovery to clinical development in partnership with leading pharma companies worldwide. With clear scientific focus in Oncology, Metabolic Disorders, CNS and Pain and Inflammation, JDDDS has rapidly emerged as a leading collaborator for pharma industry. In each of these therapeutic areas, Jubilant has developed a depth of expertise in discovery informatics, medicinal chemistry, structural biology, biology, in vitro, in vivo models and translational sciences. Combined with strong clinical development and manufacturing capabilities, Jubilant has emerged as a fully integrated company with end-to-end solution for pharma industry. JDDDS business constitutes three Jubilant subsidiaries, Jubilant Biosys (Drug discovery services), Jubilant Chemsys (Chemistry services) and Jubilant Clinsys (Clinical trial services). With over 1200 highly skilled and experienced scientific and medical personnel spread across Bangalore and Noida in India, Europe and the US, the JDDDS vertical leverages the capabilities in emerging markets for a global outcome, accelerating the global drug development efforts. Company Vacancies List Position Title: Trainee Research Associate Company Name: Jubilant Biosys Limited Salary: Competitive Company Address: Gautam Buddha Nagar, Uttar Pradesh Employment Type: Full-Time Role Category: Research and Development Education: MSc in Chemistry, Organic Chemistry, Pharmaceutical Chemistry or related field or M Pharmacy (Specialized in Organic Synthesis) with 0-1 years’ project experience. Job Description Position: Trainee Research Associate Roles & Responsibility: Collaborate with colleagues in medicinal chemistry and other teams for providing scientific knowledge obtained through molecular modeling, supporting preclinical drug discovery. Responsible for optimal utilization of resources in his organization through monitoring, measuring and reporting on scientific issues, opportunities and developmental plans and achievements within agreed formats & timescales. Publish scientific articles in reputed scientific journals Write and maintain records of observations and conclusions for every experiment in timely manner Conducting literature searches for the target, structures related to the target and any other relevant or key information. Communicate experimental results and provide routine updates to the reporting manager on status of the work / task Writing scientific procedures, presentation of research summaries at project meeting. [caption id="attachment_57650" align="aligncenter" width="1200"] Jubilant Biosys Hiring Freshers for Trainee Research Associate Role[/caption] Technical and Functional Skills Excellent knowledge of basic organic chemistry with mechanisms. Good knowledge of Name Reactions & functional group transformation. Practical experience in thin-layer chromatography, column purification, and extraction. Good understanding of NMR, IR, and mass spectrometry. Behavioural Skills Interest in adapting and knowledge of laboratory safety practices. Enthusiasm to work in a dynamic research environment. Basic computer knowledge (MS-Word/Excel/Powerpoint/Chemdraw). Good soft & scientific communication skills. APPLY ONLINE
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Unlock Career Pathways in Healthcare Management with a D.Y. Patil Online MBA
The healthcare industry is continuously evolving, and with it, the demand for skilled healthcare managers is increasing. If you’re considering a career in healthcare management, a D.Y. Patil Online MBA can be a game-changer, providing you with the necessary skills and flexibility to succeed. This blog will explore various career pathways in healthcare management and how a D.Y. Patil Online MBA can help you advance in this dynamic field.
1. Hospital Administration
Hospital administrators play a crucial role in managing healthcare facilities. They oversee operations, ensure regulatory compliance, manage budgets, and work to enhance patient care quality. This position requires strong leadership, problem-solving skills, and an understanding of healthcare systems.
How a D.Y. Patil Online MBA Helps:
Provides comprehensive knowledge of healthcare policies and management practices.
Offers flexibility to balance work, study, and personal commitments.
Enhances leadership and strategic planning skills through specialized courses.
2. Clinical Management
Clinical managers, also known as health services managers or clinical directors, oversee specific departments such as nursing, surgery, or therapy. They ensure efficient department operations, manage staff, and improve patient outcomes.
How a D.Y. Patil Online MBA Helps:
Equips you with advanced management and organizational skills.
Focuses on healthcare-specific management strategies.
Allows you to apply theoretical knowledge to real-world clinical settings through virtual internships and projects.
3. Health Information Management
Health information managers are responsible for maintaining patient records and managing health information systems. They ensure data accuracy, security, and accessibility, which is vital in today’s digital healthcare environment.
How a D.Y. Patil Online MBA Helps:
Teaches the latest in health informatics and data management.
Provides skills in data analysis and IT management.
Prepares you for certifications like RHIA, enhancing your career prospects.
4. Public Health Management
Public health managers work on improving community health through program development, policy advocacy, and research. They often collaborate with government agencies and non-profits to address public health issues.
How a D.Y. Patil Online MBA Helps:
Offers courses in public health administration and policy.
Develops skills in program planning, evaluation, and public health research.
Enables networking with professionals in the public health sector through online forums and webinars.
5. Practice Management
Practice managers handle the daily operations of medical practices, including staff management, billing, compliance, and patient satisfaction. This role is vital for the smooth functioning of clinics and group practices.
How a D.Y. Patil Online MBA Helps:
Provides in-depth knowledge of healthcare laws and regulations.
Enhances financial management and customer service skills.
Offers practical insights through case studies and interactive online sessions.
Tips for Advancing in Healthcare Management with a D.Y. Patil Online MBA
Leverage Flexibility: Use the flexibility of a D.Y. Patil Online MBA to gain practical experience while studying. Internships, part-time jobs, or volunteer work can provide valuable hands-on experience.
Specialize: Choose a specialization within your D.Y. Patil Online MBA that aligns with your career goals, such as healthcare administration, public health, or health informatics.
Network Online: Engage with peers, professors, and industry professionals through online networking events, webinars, and social media platforms.
Stay Updated: Keep abreast of the latest trends and developments in healthcare management through online resources, journals, and professional associations.
Apply Learning: Implement what you learn in your current job or through simulated projects in your online courses. This practical application can significantly enhance your understanding and skills.
Conclusion
A D.Y. Patil Online MBA offers a flexible and effective pathway to advance your career in healthcare management. It provides you with the necessary skills, knowledge, and networking opportunities to thrive in various roles within the healthcare industry. Whether you aspire to be a hospital administrator, clinical manager, or health information manager, a D.Y. Patil Online MBA can help you achieve your career goals while balancing other commitments. Embrace this opportunity to elevate your career and make a meaningful impact in the healthcare sector.
#HealthcareManagement#OnlineMBA#DYPATIL#CareerGrowth#DistanceLearning#HealthcareAdministration#PublicHealth#HealthInformatics
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Three-Dimensional Printed Mold for Neovaginal Cavity Maintenance in Vaginal Agenesis: A Case Report
Three-Dimensional Printed Mold for Neovaginal Cavity Maintenance in Vaginal Agenesis: A Case Report in Biomedical Journal of Scientific & Technical Research
Vaginal agenesis is one of the most common congenital anomalies of the female genital tract, occurring in 1 out of 5,000 to 10,000 live born females [1]. It may present either as an isolated developmental defect or within a complex of other anomalies and is commonly associated with Mayer Rokitansky Küster Hauser syndrome. Several surgical methods for vaginal reconstruction have been introduced in the literature [2], and various attempts have been made to achieve reconstruction without constriction. Of these methods, McIndoe vaginoplasty is a widely accepted procedure. The correction of vaginal agenesis requires the creation of a neovaginal cavity that is dissected between the bladder and the rectum. After surgical reconstruction of a vagina, long term application of a vaginal mold is necessary to maintain the neovaginal space and to prevent contraction [3]. We present a case of non-syndromic agenesis of the lower vagina in an 18 year old girl and its post-surgical management using a three-dimensional (3D) printed thermoplastic polyurethane (TPU) vaginal mold.
For more articles in Journals on Biomedical Sciences click here bjstr
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#Journal of Biomedical Research and Review#Journals on Medical Informatics#Journals on Biomedical Engineering#open access journals of biomedical science#Journals on Biomedical Science
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Also preserved in our archive (Daily updates!)
Researchers say new AI tool sharpens diagnostic process, may help identify more people needing care While earlier diagnostic studies have suggested that 7 percent of the population suffers from long COVID, a new AI tool developed by Mass General Brigham revealed a much higher 22.8 percent, according to the study.
The AI-based tool can sift through electronic health records to help clinicians identify cases of long COVID. The often-mysterious condition can encompass a litany of enduring symptoms, including fatigue, chronic cough, and brain fog after infection from SARS-CoV-2.
The algorithm used was developed by drawing de-identified patient data from the clinical records of nearly 300,000 patients across 14 hospitals and 20 community health centers in the Mass General Brigham system. The results, published in the journal Med, could identify more people who should be receiving care for this potentially debilitating condition.
“Our AI tool could turn a foggy diagnostic process into something sharp and focused, giving clinicians the power to make sense of a challenging condition,” said senior author Hossein Estiri, head of AI Research at the Center for AI and Biomedical Informatics of the Learning Healthcare System (CAIBILS) at MGB and an associate professor of medicine at Harvard Medical School. “With this work, we may finally be able to see long COVID for what it truly is — and more importantly, how to treat it.”
For the purposes of their study, Estiri and colleagues defined long COVID as a diagnosis of exclusion that is also infection-associated. That means the diagnosis could not be explained in the patient’s unique medical record but was associated with a COVID infection. In addition, the diagnosis needed to have persisted for two months or longer in a 12-month follow up window.
The novel method developed by Estiri and colleagues, called “precision phenotyping,” sifts through individual records to identify symptoms and conditions linked to COVID-19 to track symptoms over time in order to differentiate them from other illnesses. For example, the algorithm can detect if shortness of breath results from pre-existing conditions like heart failure or asthma rather than long COVID. Only when every other possibility was exhausted would the tool flag the patient as having long COVID.
“Physicians are often faced with having to wade through a tangled web of symptoms and medical histories, unsure of which threads to pull, while balancing busy caseloads. Having a tool powered by AI that can methodically do it for them could be a game-changer,” said Alaleh Azhir, co-lead author and an internal medicine resident at Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare system.
The new tool’s patient-centered diagnoses may also help alleviate biases built into current diagnostics for long COVID, said researchers, who noted diagnoses with the official ICD-10 diagnostic code for long COVID trend toward those with easier access to healthcare.
The researchers said their tool is about 3 percent more accurate than the data ICD-10 codes capture, while being less biased. Specifically, their study demonstrated that the individuals they identified as having long COVID mirror the broader demographic makeup of Massachusetts, unlike long COVID algorithms that rely on a single diagnostic code or individual clinical encounters, skewing results toward certain populations such as those with more access to care.
“This broader scope ensures that marginalized communities, often sidelined in clinical studies, are no longer invisible,” said Estiri.
Limitations of the study and AI tool include that health record data the algorithm uses to account for long COVID symptoms may be less complete than the data physicians capture in post-visit clinical notes. Another limitation was the algorithm did not capture possible worsening of a prior condition that may have been a long COVID symptom. For example, if a patient had COPD that worsened before they developed COVID-19, the algorithm might have removed the episodes even if they were long COVID indicators. Declines in COVID-19 testing in recent years also makes it difficult to identify when a patient may have first gotten COVID-19.
The study was limited to patients in Massachusetts.
Future studies may explore the algorithm in cohorts of patients with specific conditions, like COPD or diabetes. The researchers also plan to release this algorithm publicly on open access so physicians and healthcare systems globally can use it in their patient populations.
In addition to opening the door to better clinical care, this work may lay the foundation for future research into the genetic and biochemical factors behind long COVID’s various subtypes. “Questions about the true burden of long COVID — questions that have thus far remained elusive — now seem more within reach,” said Estiri.
Link to preprint: www.medrxiv.org/content/10.1101/2024.04.13.24305771v2
#AI#long covid#covid is airborne#public health#wear a mask#covid 19#wear a respirator#still coviding#coronavirus#sars cov 2#technology#healthcare
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AI Chatbots Are Promising but Limited in Promoting Healthy Behavior Change
New Post has been published on https://thedigitalinsider.com/ai-chatbots-are-promising-but-limited-in-promoting-healthy-behavior-change/
AI Chatbots Are Promising but Limited in Promoting Healthy Behavior Change
In recent years, the healthcare industry has witnessed a significant increase in the use of large language model-based chatbots, or generative conversational agents. These AI-powered tools have been employed for various purposes, including patient education, assessment, and management. As the popularity of these chatbots grows, researchers from the University of Illinois Urbana-Champaign’s ACTION Lab have taken a closer look at their potential to promote healthy behavior change.
Michelle Bak, a doctoral student in information sciences, and Professor Jessie Chin recently published their findings in the Journal of the American Medical Informatics Association. Their study aimed to determine whether large language models could effectively identify users’ motivational states and provide appropriate information to support their journey towards healthier habits.
Study Design
To assess the capabilities of large language models in promoting behavior change, Bak and Chin designed a comprehensive study involving three prominent chatbot models: ChatGPT, Google Bard, and Llama 2. The researchers created a series of 25 scenarios, each targeting specific health needs such as low physical activity, diet and nutrition concerns, mental health challenges, cancer screening and diagnosis, sexually transmitted diseases, and substance dependency.
The scenarios were carefully crafted to represent the five distinct motivational stages of behavior change:
Resistance to change and lacking awareness of problem behavior
Increased awareness of problem behavior but ambivalence about making changes
Intention to take action with small steps toward change
Initiation of behavior change with a commitment to maintain it
Successfully sustaining the behavior change for six months with a commitment to maintain it
By evaluating the chatbots’ responses to each scenario across the different motivational stages, the researchers aimed to determine the strengths and weaknesses of large language models in supporting users throughout their behavior change journey.
What Did the Study Find?
The study revealed both promising results and significant limitations in the ability of large language models to support behavior change. Bak and Chin found that chatbots can effectively identify motivational states and provide relevant information when users have established goals and a strong commitment to take action. This suggests that individuals who are already in the later stages of behavior change, such as those who have initiated changes or have been successfully maintaining them for some time, can benefit from the guidance and support provided by these AI-powered tools.
However, the researchers also discovered that large language models struggle to recognize the initial stages of motivation, particularly when users are resistant to change or ambivalent about making modifications to their behavior. In these cases, the chatbots failed to provide adequate information to help users evaluate their problem behavior and its consequences, as well as assess how their environment influenced their actions. For example, when faced with a user who is resistant to increasing their physical activity, the chatbots often defaulted to providing information about joining a gym rather than engaging the user emotionally by highlighting the negative consequences of a sedentary lifestyle.
Furthermore, the study revealed that large language models did not offer sufficient guidance on using reward systems to maintain motivation or reducing environmental stimuli that might increase the risk of relapse, even for users who had already taken steps to change their behavior. Bak noted, “The large language model-based chatbots provide resources on getting external help, such as social support. They’re lacking information on how to control the environment to eliminate a stimulus that reinforces problem behavior.”
Implications and Future Research
The findings of this study underscore the current limitations of large language models in understanding motivational states from natural language conversations. Chin explained that these models are trained to represent the relevance of a user’s language but struggle to differentiate between a user who is considering change but still hesitant and one who has a firm intention to take action. Additionally, the semantic similarity in user queries across different motivational stages makes it challenging for the models to accurately identify the user’s readiness for change based solely on their language.
Despite these limitations, the researchers believe that large language model chatbots have the potential to provide valuable support when users have strong motivations and are ready to take action. To fully realize this potential, future studies will focus on fine-tuning these models to better understand users’ motivational states by leveraging linguistic cues, information search patterns, and social determinants of health. By equipping the models with more specific knowledge and improving their ability to recognize and respond to different stages of motivation, researchers hope to enhance the effectiveness of these AI-powered tools in promoting healthy behavior change.
AI Chatbots in Behavior Change
The study from the University of Illinois Urbana-Champaign’s ACTION Lab has shed light on the potential and limitations of large language model chatbots in promoting healthy behavior change. While these AI-powered tools have shown promise in supporting users who are committed to making positive changes, they still struggle to effectively recognize and respond to the initial stages of motivation, such as resistance and ambivalence. As researchers continue to refine and improve these models, it is hoped that they will become increasingly effective in guiding users through all stages of the behavior change process, ultimately contributing to better health outcomes for individuals and communities alike.
#agents#ai#AI-powered#Artificial Intelligence#assessment#awareness#bard#Behavior#Cancer#change#chatbot#chatbots#chatGPT#comprehensive#diet#Diseases#education#employed#Environment#Environmental#Explained#focus#Future#generative#Google#Google BARD#Health#healthcare#how#how to
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Best Career Opportunity in 2024
Best Career Opportunity in 2024
If you also want to get a secure & high salary job for yourself, then you can make your future secure and good by taking the demanding courses going on in today's time or by learning skills.
If you are an adult or have +2 pass or you are looking for a good course or skill for your better future which is very demanding in today's time then after a lot of research we have found the best career opportunity in 2024 for you.If you also want to make your future secure and satisfied, then you must follow demanding career options.
Jobs that will be running in the future have been searched and the list has been given below.
WHY FOLLOW DEMANDING CAREER OPTIONS ?
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Digital Marketing Specialist
Website Designing
Software Developer
AI Engineer
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AI (Machine Learning)
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Project Manager
Product Manager
Cloud Developer
Blockchain Engineer
Cyber Security
UX Designer
Data Scientist/Analyst
Marketing Manager
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Chartered Accountant (C.A)
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If you are one of the commerce students and you want to go into the banking sector then we have brought for you the best career option for the banking sector whose list is given in the which is in high demanding career.
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Loan Officer
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If your interest is in the tech field and if you want to make your career in the technology field then we have brought for you some demanding technology courses/skills which are given below.
Best Career Opportunity in 2024 For Tech Industry:-
Data Scientist
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Blockchain Engineer
HealthCare :
If your dream is to go into the medical line and you are looking for a good secure job for yourself, then we have brought high demanding courses & skills for you, the list of which has been given below.
Best Career Opportunity in 2024 For Healthcare Field:-
Health Services Management
Physical Therapist
Psychiatrists
Health informatics & Telemedicine
Pharmacist
Mental Health Techniques
Mental Health Therapist
Design :
If you are interested in creativity and your creativity is fun and you are also interested in doing creative work then for you we have found some high demanding courses/skills which will boost your creativity, the list of which has been given below.
Best Career Opportunity in 2024 For Design
Designer (Product)
(Frontend) Web Developer.
Digital Designer Creator
UX/UI Designer
Motion Graphics
Graphic Designer
Director for Art
Sports :
Best career in sports field are you interested in sports field And create your future(Career) in sport field So we have brought for you high demanding courses/skills which will boost your creativity, the list of which has been given below.
Best Career Opportunity For Sports/Games field
Sports journalism
Sports Mentor
Massage therapist
Sports Nutritionist
Baseball Coach
Sports Reporter
Personal Trainer
Basketball coach
Athletic scout
Fitness manager
PE teacher
Sports gaming & Sports law
Football coach
Athletic director
Best Career Options For Arts Students:
Event Management, Ba LLB, Filmmaker, Teacher, Chef, Marketing, Journalism, Fashion designer, Photographer, Physcology, Animator, Business, Hotel management, interior designer,Art director, Product designer, Art lecture etc
Best Career Options For Commerce Students:
C.A, Company Secretary, Cost & Management Accountant, Investment Banker, Financial advisor, Certified Public Accountant, Entrepreneur, Chartered financial Analyst, Cost Accountant, Financial management, Bachelor of Business Administration, Bachelor of commerce, Accountant, Business management, Retail manager etc
Best Career Options For Non-Medical Students:
Engineering, Hotel management, BCA(Bachelor of computer Application), Bachelor of Architecture, Bachelor of science, Journalism, Finance, Information technology, Mechanical engineer, Merchant Navy, Civil, Defence, Data Scientist, Environmental Science, Graphic Designer, Law, Commercial pilot, B.Tech Electronics, Bachelor’s of Technology, B.Sc Chemistry etc.
Best Career Options For Medical Students:
BioTechnology, Health Administration, Physiotherapist, Writer, Audiologist, Genetics, nutritionist, Medical lab Technology, Nursing, Pharmacy, Optometry, Biomedical engineer, Physician associate, Dialysis therapy, Researcher, Faculty members, Occupational Therapy, Dentist, Psychiatrist etc
CONCLUSION:
If you are also searching for demanding jobs, courses, skills for yourself, then you should follow high demanding skills, courses & jobs which will help you in growing your career and future and bring stability in your life. This will also give you many benefits, for example: High salary, good lifestyle(Satisfaction), more opportunities, and your best image in the world.
The list of best career options which are not there in 2024 and will be in demand in future also has been given along with if you want to go in the sports field or want to go in the healthcare department or want to go in the technology industry or want to go in banking. These are the skills & courses which are in demand in the fields, we have found them for you after a lot of research and the students of arts, commerce, medical & non-medical should study them which will help them in growing their career.
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Nurturing Excellence: Education for Healthcare Professionals
In the ever-evolving landscape of healthcare, one constant remains: the critical role of education in shaping competent and compassionate professionals. Healthcare professionals are entrusted with the well-being of individuals and communities, making continuous learning not just a choice but a necessity. Whether it's doctors, nurses, pharmacists, or therapists, the pursuit of knowledge is integral to delivering quality care and advancing the field. Let's delve into why education for healthcare professionals is paramount and explore how it shapes the future of healthcare.
Lifelong Learning: The Cornerstone of Healthcare
The journey of a healthcare professional begins with formal education, typically through accredited institutions. However, graduation is merely the commencement of a lifelong learning process. Medicine, nursing, and allied health fields are dynamic, with new discoveries, treatments, and technologies emerging constantly. To stay abreast of these advancements and provide the best possible care, professionals must commit to ongoing education.
Continuing education not only enhances clinical skills but also fosters critical thinking, problem-solving, and adaptability – essential attributes in the fast-paced healthcare environment. Whether attending conferences, participating in workshops, or pursuing advanced degrees, healthcare professionals engage in a spectrum of learning activities tailored to their specialties and career aspirations.
Adapting to Technological Advancements
The integration of technology into healthcare is revolutionizing patient care and clinical practices. From electronic health records (EHRs) to telemedicine platforms, technological advancements are reshaping how healthcare is delivered and managed. To harness the full potential of these innovations, healthcare professionals must undergo specialized training and education.
For instance, nurses may undergo certification programs in informatics to optimize EHR usage and data management. Similarly, physicians might participate in courses on telemedicine to effectively conduct virtual consultations. By embracing technology-driven education, healthcare professionals can leverage tools to improve patient outcomes, enhance efficiency, and expand access to care.
Cultivating Interdisciplinary Collaboration
Healthcare is inherently interdisciplinary, requiring collaboration among professionals with diverse expertise. Education plays a crucial role in fostering effective teamwork and communication across disciplines. Through interdisciplinary training programs and collaborative learning experiences, healthcare professionals gain insights into each other's roles, perspectives, and contributions to patient care.
Interprofessional education (IPE) initiatives bring together students and practitioners from various healthcare disciplines to learn, problem-solve, and collaborate in simulated and real-world settings. By breaking down silos and promoting mutual respect, IPE enhances patient safety, reduces medical errors, and improves care coordination – ultimately leading to better health outcomes for individuals and communities.
Addressing Healthcare Disparities
Education for healthcare professionals extends beyond clinical skills to encompass cultural competence, ethics, and social determinants of health. As healthcare disparities persist globally, addressing inequities requires a multifaceted approach that begins with education. By integrating topics such as health equity, diversity, and inclusion into curricula, educators empower future professionals to recognize and address disparities in healthcare delivery.
Moreover, exposure to underserved populations through service-learning experiences and community engagement initiatives fosters empathy and a deeper understanding of the social factors influencing health outcomes. By equipping healthcare professionals with the knowledge and skills to navigate complex social landscapes, education becomes a catalyst for advocacy, equity, and social change in healthcare.
Conclusion
In the dynamic realm of healthcare, education serves as the foundation upon which competent, compassionate, and culturally competent professionals are built. Lifelong learning enables healthcare professionals to adapt to technological advancements, collaborate across disciplines, and address healthcare disparities effectively. By investing in education, we not only empower individuals to excel in their respective fields but also pave the way for a healthier, more equitable future for all. As we continue to navigate the complexities of healthcare, let us reaffirm our commitment to education as a cornerstone of excellence and innovation in the pursuit of better health outcomes.
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