#Health Care Tech

[theemiratestimesblog]

Accelerating Smart Home Trends in 2022: The industry of smart home technologies is ever-increasing over time. The market has expanded to a huge extent, and you will find smart gadgets for every need and space of your home! At present, these trends are not confined to expensive houses or other updates that will happen somewhere in the future. 

[mostlysignssomeportents]

Privacy first

The internet is embroiled in a vicious polycrisis: child safety, surveillance, discrimination, disinformation, polarization, monopoly, journalism collapse – not only have we failed to agree on what to do about these, there's not even a consensus that all of these are problems.

But in a new whitepaper, my EFF colleagues Corynne McSherry, Mario Trujillo, Cindy Cohn and Thorin Klosowski advance an exciting proposal that slices cleanly through this Gordian knot, which they call "Privacy First":

https://www.eff.org/wp/privacy-first-better-way-address-online-harms

Here's the "Privacy First" pitch: whatever is going on with all of the problems of the internet, all of these problems are made worse by commercial surveillance.

Worried your kid is being made miserable through targeted ads? No surveillance, no targeting.

Worried your uncle was turned into a Qanon by targeted disinformation? No surveillance, no targeting. Worried that racialized people are being targeted for discriminatory hiring or lending by algorithms? No surveillance, no targeting.

Worried that nation-state actors are exploiting surveillance data to attack elections, politicians, or civil servants? No surveillance, no surveillance data.

Worried that AI is being trained on your personal data? No surveillance, no training data.

Worried that the news is being killed by monopolists who exploit the advantage conferred by surveillance ads to cream 51% off every ad-dollar? No surveillance, no surveillance ads.

Worried that social media giants maintain their monopolies by filling up commercial moats with surveillance data? No surveillance, no surveillance moat.

The fact that commercial surveillance hurts so many groups of people in so many ways is terrible, of course, but it's also an amazing opportunity. Thus far, the individual constituencies for, say, saving the news or protecting kids have not been sufficient to change the way these big platforms work. But when you add up all the groups whose most urgent cause would be significantly improved by comprehensive federal privacy law, vigorously enforced, you get an unstoppable coalition.

America is decades behind on privacy. The last really big, broadly applicable privacy law we passed was a law banning video-store clerks from leaking your porn-rental habits to the press (Congress was worried about their own rental histories after a Supreme Court nominee's movie habits were published in the Washington City Paper):

https://en.wikipedia.org/wiki/Video_Privacy_Protection_Act

In the decades since, we've gotten laws that poke around the edges of privacy, like HIPAA (for health) and COPPA (data on under-13s). Both laws are riddled with loopholes and neither is vigorously enforced:

https://pluralistic.net/2023/04/09/how-to-make-a-child-safe-tiktok/

Privacy First starts with the idea of passing a fit-for-purpose, 21st century privacy law with real enforcement teeth (a private right of action, which lets contingency lawyers sue on your behalf for a share of the winnings):

https://www.eff.org/deeplinks/2022/07/americans-deserve-more-current-american-data-privacy-protection-act

Here's what should be in that law:

A ban on surveillance advertising:

https://www.eff.org/deeplinks/2022/03/ban-online-behavioral-advertising

Data minimization: a prohibition on collecting or processing your data beyond what is strictly necessary to deliver the service you're seeking.

Strong opt-in: None of the consent theater click-throughs we suffer through today. If you don't give informed, voluntary, specific opt-in consent, the service can't collect your data. Ignoring a cookie click-through is not consent, so you can just bypass popups and know you won't be spied on.

No preemption. The commercial surveillance industry hates strong state privacy laws like the Illinois biometrics law, and they are hoping that a federal law will pre-empt all those state laws. Federal privacy law should be the floor on privacy nationwide – not the ceiling:

https://www.eff.org/deeplinks/2022/07/federal-preemption-state-privacy-law-hurts-everyone

No arbitration. Your right to sue for violations of your privacy shouldn't be waivable in a clickthrough agreement:

https://www.eff.org/deeplinks/2022/04/stop-forced-arbitration-data-privacy-legislation

No "pay for privacy." Privacy is not a luxury good. Everyone deserves privacy, and the people who can least afford to buy private alternatives are most vulnerable to privacy abuses:

https://www.eff.org/deeplinks/2020/10/why-getting-paid-your-data-bad-deal

No tricks. Getting "consent" with confusing UIs and tiny fine print doesn't count:

https://www.eff.org/deeplinks/2019/02/designing-welcome-mats-invite-user-privacy-0

A Privacy First approach doesn't merely help all the people harmed by surveillance, it also prevents the collateral damage that today's leading proposals create. For example, laws requiring services to force their users to prove their age ("to protect the kids") are a privacy nightmare. They're also unconstitutional and keep getting struck down.

A better way to improve the kid safety of the internet is to ban surveillance. A surveillance ban doesn't have the foreseeable abuses of a law like KOSA (the Kids Online Safety Act), like bans on information about trans healthcare, medication abortions, or banned books:

https://www.eff.org/deeplinks/2023/05/kids-online-safety-act-still-huge-danger-our-rights-online

When it comes to the news, banning surveillance advertising would pave the way for a shift to contextual ads (ads based on what you're looking at, not who you are). That switch would change the balance of power between news organizations and tech platforms – no media company will ever know as much about their readers as Google or Facebook do, but no tech company will ever know as much about a news outlet's content as the publisher does:

https://www.eff.org/deeplinks/2023/05/save-news-we-must-ban-surveillance-advertising

This is a much better approach than the profit-sharing arrangements that are being trialed in Australia, Canada and France (these are sometimes called "News Bargaining Codes" or "Link Taxes"). Funding the news by guaranteeing it a share of Big Tech's profits makes the news into partisans for that profit – not the Big Tech watchdogs we need them to be. When Torstar, Canada's largest news publisher, struck a profit-sharing deal with Google, they killed their longrunning, excellent investigative "Defanging Big Tech" series.

A privacy law would also protect access to healthcare, especially in the post-Roe era, when Big Tech surveillance data is being used to target people who visit abortion clinics or secure medication abortions. It would end the practice of employers forcing workers to wear health-monitoring gadget. This is characterized as a "voluntary" way to get a "discount" on health insurance – but in practice, it's a way of punishing workers who refuse to let their bosses know about their sleep, fertility, and movements.

A privacy law would protect marginalized people from all kinds of digital discrimination, from unfair hiring to unfair lending to unfair renting. The commercial surveillance industry shovels endless quantities of our personal information into the furnaces that fuel these practices. A privacy law shuts off the fuel supply:

https://www.eff.org/deeplinks/2023/04/digital-privacy-legislation-civil-rights-legislation

There are plenty of ways that AI will make our lives worse, but copyright won't fix it. For issues of labor exploitation (especially by creative workers), the answer lies in labor law:

https://pluralistic.net/2023/10/01/how-the-writers-guild-sunk-ais-ship/

And for many of AI's other harms, a muscular privacy law would starve AI of some of its most potentially toxic training data:

https://www.businessinsider.com/tech-updated-terms-to-use-customer-data-to-train-ai-2023-9

Meanwhile, if you're worried about foreign governments targeting Americans – officials, military, or just plain folks – a privacy law would cut off one of their most prolific and damaging source of information. All those lawmakers trying to ban Tiktok because it's a surveillance tool? What about banning surveillance, instead?

Monopolies and surveillance go together like peanut butter and chocolate. Some of the biggest tech empires were built on mountains of nonconsensually harvested private data – and they use that data to defend their monopolies. Legal privacy guarantees are a necessary precursor to data portability and interoperability:

https://www.eff.org/wp/interoperability-and-privacy

Once we are guaranteed a right to privacy, lawmakers and regulators can order tech giants to tear down their walled gardens, rather than relying on tech companies to (selectively) defend our privacy:

https://pluralistic.net/2022/11/14/luxury-surveillance/#liar-liar

The point here isn't that privacy fixes all the internet's woes. The policy is "privacy first," not "just privacy." When it comes to making a new, good internet, there's plenty of room for labor law, civil rights legislation, antitrust, and other legal regimes. But privacy has the biggest constituency, gets us the most bang for the buck, and has the fewest harmful side-effects. It's a policy we can all agree on, even if we don't agree on much else. It's a coalition in potentia that would be unstoppable in reality. Privacy first! Then – everything else!

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/12/06/privacy-first/#but-not-just-privacy

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[mylittleredgirl]

starting any new medication with intended or unintended mental effects is so weird. it’s not exactly like waking up with a whole new brain but it definitely feels like my mind got reformatted. this latest nervous system one is doing some what it’s supposed to physically (thank god) but it’s definitely doing… something to my thinking patterns and emotional responses. i’m not sure what. it has some overlap with the symptoms of an early manic upswing in the sense that the “regard for consequences” segment of my brain is sending an out-of-office message, so i thought it was that at first, but that’s definitely not it. but. something.

[nucleiaster]

A stylized liquid shader I've been working on !

I'd like to post more 3d modeling and shader work here, and maybe some effects breakdown?? idk

[cs-med-world-insights]

How do you get into or interested in the Medical Field?

Start in High School (or Middle School): In Middle School, you can join/make clubs like Future Health Professionals (formerly known as Health Occupations Students Of America ) or start the club. You can join/make clubs like a Biology club, Medical Awareness Club, Anatomy Club, Science Club, Red Cross, etc. You can also do extracurriculars to get interested in the medical field like volunteering at hospitals, internships at hospitals, joining summer programs at hospitals, and getting first aid/CPR certification. Lastly, you can take classes in high school like biology, chemistry, anatomy and physiology, AP psychology, and (if CollegeBoard makes the class) AP anatomy and physiology.

2. Research the medical field: It is very understandable if you cannot join clubs after school. There can be various reasons why you cannot participate like if you have a job, your parents cannot pick you up, you don't know anybody in the club, or the people in the club aren't nice. Instead, you can conduct your own research on the medical field jobs that are available. Research what you must do, the education you need, salary, etc. With AI rising, research of these jobs is important since they can grow or shrink based on how advanced AI is getting (especially in the computer science field). However, in the medical field context, AI can help medical professionals with diagnosing, analyzing X-rays, analyzing test results, and more. Nowadays there are doctors online, so AI can help provide information, vitals, symptoms, etc.

3. Skills and Qualities: In the medical field (depending on the job you desire) you will be working with each other as a team. For instance, if you are working in the emergency room, you will need to work with nurses to put medicine in the IV and other doctors if you need help with a case or diagnosing an illness/condition. You will need kindness and empathy because there will be patients who are in pain and suffering. Some may not have enough money to pay or are homeless.

4. Diversity in Jobs: There are numerous jobs you can pick. From doctors to nurse practitioners to biomedical engineering to being part of the lab, testing viruses. For instance in biomedical engineering, you are not only doing things in the medical field but in the biology field, computer science field, and more. Some jobs like being a doctor take a longer time than being a nurse. It will definitely be hard to be in school for a long time, but think about the reward which is helping people have a better quality of life and live better. You can also get a big salary (around 90-120,000 dollars). But there are challenges (depending on the job you pick) like seeing your patients suffer and not be alive, working 12-hour shifts, working almost every day, and working in a busy environment.

5. Challenges: There will be challenges from Medical School to the workplace. For instance, many students stay up late studying, have a side job or internship, or are trying to get a good grade in their class/MCAT. The best way to try to avoid it or lessen it is by time managing. By using a calendar, block off your free time and busy time. For instance, 1pm Friday is lunch, and 4pm Saturday is your internship. There will also be Financial issues as well. You will need to get a scholarship and if you cannot that's okay. Try to see if you qualify for financial aid using FAFSA or try getting a grant. If you do take a loan, there are also loan forgiveness programs as well. In the time you are in your workplace as a doctor/medical professional, there are ethical concerns involving patients. For instance, a patient's medical privacy and not talking about it with anyone unless that medical professional is working with you, or a patient wanting you to not resuscitate them If you resuscitate them, they could be angry, hurt, sad, and sue you.

Thank you for reading! Please like, and reblog if you liked this post or are interested in the medical field!

Please comment if you are going into the medical field, and tips for people interested in the medical field if you are already in the medical field!

[m0tel6mxzzy]

really hate when technology is made the criteria needed to do any sort of work and then the ppl who make it mandatory don’t have any sort of plan for if it goes wrong

[mushroomwillow]

I had a post blow up! New about me?

Post that’s getting way more attention than I thought it would is of a crochet project I did to protect my hand from a nervous stim I have. If y’all like it I plan on posting more of what I make on my other blog @mushroomwillowcrochets

Anyway.

Any pronouns, 32,

I started using this site again when Twitter imploded, hadn’t used it sense 2017, but met my two bff’s here and had been a fandom blog for… shit like… 5 years? Longer? Idk.

Mentally ill af. The laundry list goes on and on.

Im a caregiver for the elderly, I sometimes talk about it. Fucking love my job. But this does mean I talk about death/dying so CW/TW for that.

I have a daughter, and a fiancé

I will warn y’all as a TW/CW sometimes I do go on about abuse I’ve been through. I also talk about my mental health issues etc. so yeah just a heads up.

Mostly tho it’s memes and incoherent gremlin noises

[theemiratestimesblog]

Accelerating Smart Home Trends in 2022- Advanced Security

Accelerating Smart Home Trends in 2022- Advanced Security

Accelerating Smart Home Trends in 2022: The industry of smart home technologies is ever-increasing over time. The market has expanded to a huge extent, and you will find smart gadgets for every need and space of your home! At present, these trends are not confined to expensive houses or other updates that will happen somewhere in the future.  The fact is that people are keen on using this…

[radioactivelight]

finally a talk at this conference today that doesnt make me hate technology

[globalunitedmedicalsuppliesinc]

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[shlimon]

Explore the range of treadmills for every fitness level. Durable, versatile, and ideal for effective workouts at home. Achieve your fitness goals with ease.

Click now and up to 200$ OFF!

[colinwilson11]

AI In Clinical Trials: Revolutionizing Clinical Trials How Artificial Intelligence (AI) Speeds Up Research And Discoveries

Clinical trials are a lengthy process, and one of the biggest hurdles is finding and screening eligible patients to participate. Artificial intelligence can help speed up this stage in important ways. AI-powered chatbots and voice assistants can pre-screen patients for eligibility based on medical history and demographic information. This initial screening using AI means researchers no longer have to manually review every single potential candidate. AI can also analyze Patient Health Record data and other sources to proactively identify patients that closely match study criteria. By flagging eligible prospects, AI reduces the time spent recruiting participants. Several startup companies now offer AI recruitment solutions that have helped clinical trials meet enrollment goals faster.

Protocol Design And AI In Clinical Trials

Designing clinical trial protocols and determining optimal drug dosing is as much an art as it is a science. AI and machine learning are giving researchers new tools to refine these processes based on historical trial data. AI in Clinical Trials by analyzing trends across many past studies, AI systems can predict the most promising treatment regimens and endpoint assessments for a new indication. This datadriven approach to protocol design aims to avoid wasting time and resources on options that are unlikely to succeed. AI is also being applied to dosage optimization, comparing toxin levels, side effects and outcomes across different dose amounts or schedules from previous trials. This enables researchers to select dosing that maximizes efficacy and safety from the beginning.

Endpoint Evaluation And Adverse Event Detection

Gathering and analyzing clinical trial endpoint data like lab results, symptom surveys and physician exams is a longtime manual process prone to errors and inconsistencies. AI can classify and extract meaningful insights from this wide variety of endpoint evidence much faster and more objectively than humans. Deep learning algorithms trained on retrospective endpoint data can also identify subtle patterns and adverse events that may have gone unnoticed previously. AI-powered safety monitoring may eventually allow for earlier intervention if worsening side effects are automatically flagged. This could lead to improved outcomes overall.

Predictive Analytics And Risk Mitigation

By combining protocol design insights with learnings from ongoing trials, AI offers predictive analytics to reduce risks. As patient endpoint information flows in, AI can spot troubling trends that may indicate futility and advise course corrections to trial leadership in real-time. Likewise, AI may foresee enrollee populations or sites that are behind on goals and could jeopardize trial integrity if not addressed preemptively. Rather than waiting until an analysis is scheduled, AI monitoring runs continuously to alert researchers proactively about potential problems. The ability to identify issues earlier allows for preventative mitigation that protects data quality and overall trial integrity.

Reporting And Results Analysis

The final analysis and reporting stage can also gain efficiency boosts from AI. Processing vast streams of endpoint data and safety monitoring results to generate required reports is laborious. AI excels at automating the aggregation and curation of clinical trial evidence into clear, standardized reports. By taking over routine reporting tasks, AI frees up researchers to focus on higher-level strategic analysis and writing. AI's number crunching further enhances results analysis by automatically surfacing unanticipated correlations between outcomes, subgroups and other variables in the trial datasets. Researchers can explore these emergent findings to develop new hypotheses for future study.

As these examples illustrate, artificial intelligence is capable of accelerating each step in the clinical trials process. By taking over routine and repetitive manual work, AI gives researchers more time for creative, strategic thinking that moves treatments to patients faster. Early adopters of AI for clinical research are reaping benefits today like reduced costs, quicker timelines and better outcomes. As the technology matures, its full potential to transform drug development through smarter trials will be realized.

Get more insights on this topic:   https://www.pressreleasebulletin.com/ai-in-clinical-trials-how-artificial-intelligence-is-revolutionizing-clinical-trials/

Author Bio:

Alice Mutum is a seasoned senior content editor at Coherent Market Insights, leveraging extensive expertise gained from her previous role as a content writer. With seven years in content development, Alice masterfully employs SEO best practices and cutting-edge digital marketing strategies to craft high-ranking, impactful content. As an editor, she meticulously ensures flawless grammar and punctuation, precise data accuracy, and perfect alignment with audience needs in every research report. Alice's dedication to excellence and her strategic approach to content make her an invaluable asset in the world of market insights. (LinkedIn: www.linkedin.com/in/alice-mutum-3b247b137 )

*Note: 1. Source: Coherent Market Insights, Public sources, Desk research 2. We have leveraged AI tools to mine information and compile it

[jadeannbyrne]

The Boundaries & Creativity of a Midwest Princess, [Chappell Roan] Jade Ann Byrne

The Boundaries & Creativity of a Midwest Princess, Chappell Roan Jade Ann Byrne The Boundaries & Creativity of a Midwest Princess, Chappell Roan Jade Ann Byrne In the digital age, where creativity and technology often intersect, maintaining boundaries has become increasingly crucial. Jade Ann Byrne, a seasoned tech-savvy California eGirl, understands the importance of setting clear boundaries…

[kids-worldfun]

3 Tips to Safeguard Children's Vision During Screen Time

Even if you’re a parent who limits your kids’ time in front of screens between learning and entertainment, they still end up spending way too much time on electronic devices. This is not necessarily a bad thing, considering that they’ll do this all their lives. However, you have to make sure their vision is not affected. For this, we put together several eye-friendly habits you can encourage at…

[familythings]

Historic Milestone: First Pediatric Surgery with Robots in the UK

In a groundbreaking leap for pediatric medicine, the United Kingdom has reached a remarkable milestone by successfully conducting its inaugural robotic-assisted surgery on a child. This momentous procedure unfolded at Southampton Children’s Hospital, marking the dawn of a new era of meticulous and compassionate medical interventions tailored to younger patients. The Versius Surgical Robotic…

[trendtrackershq]

𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐏𝐨𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐇𝐞𝐚𝐥𝐭𝐡 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐌𝐚𝐫𝐤𝐞𝐭

𝐒𝐞𝐜𝐮𝐫𝐞 𝐚 𝐅𝐑𝐄𝐄 𝐒𝐚𝐦𝐩𝐥𝐞: https://www.nextmsc.com/population-health-management-market/request-sample

In an era where healthcare is rapidly evolving, the 𝐏𝐨𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐇𝐞𝐚𝐥𝐭𝐡 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐌𝐚𝐫𝐤𝐞𝐭 stands out as a key driver of change.

𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐓𝐫𝐞𝐧𝐝𝐬:

𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Leveraging big data and advanced analytics to gain insights into population health and predict trends.

𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐀𝐝𝐨𝐩𝐭𝐢𝐨𝐧: Increased use of digital health tools, including electronic health records (EHRs) and telemedicine, to streamline care.

𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐂𝐚𝐫𝐞: Tailoring health interventions based on individual risk factors and health profiles.

𝐕𝐚𝐥𝐮𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐚𝐫𝐞: Shifting focus from volume to value in healthcare delivery, aligning incentives with patient outcomes.

𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐀𝐡𝐞𝐚𝐝: The future of PHM is promising, with ongoing innovations expected to enhance care delivery, reduce healthcare costs, and improve overall population health. Stakeholders from healthcare providers to technology developers will play crucial roles in shaping this dynamic market.

𝐀𝐜𝐜𝐞𝐬𝐬 𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭: https://www.nextmsc.com/report/population-health-management-market

𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬:

Persistent Systems

Cedar Gate Technologies

Epic Systems Corporation

Lumeris Inc.

Koninklijke Philips N.V.

Health Catalyst

Arcadia Solutions LLC 

Conifer Health Solutions

Orion Health Group Ltd. 

Cotiviti Inc.

Stay tuned as we continue to explore the advancements and opportunities in Population Health Management. For those involved in healthcare, this is an exciting time to be at the forefront of change!