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Wednesday, October 16, 2024
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Healthcare hirers, jobseekers: Know your healthcare AI

Among AI’s most watchful stakeholders are healthcare organizations in need of AI talent and AI talent in need of work in healthcare. Both groups need to keep up with the technology in its present as well as future iterations.

Fortunately for both, there’s no shortage of informational end educational resources to help with the assignment. 

The online learning platform Simplilearn has posted a fresh set. The article seems intended to coax readers into enrolling in a paid Simplilearn course or two, but it has value of its own. 

The piece presents a handful of use cases for healthcare AI. Here are excerpts from five of these. 

1. AI for inpatient mobility monitoring. 

In the ICU, limited mobility and cognition during long-term treatments can adversely affect patients’ overall recovery. It’s vital to monitor their movements, the authors point out. “To improve outcomes,” they write, “researchers at Stanford University and Intermountain LDS Hospital installed depth sensors equipped with machine learning algorithms in patients’ rooms to keep track of their mobility.” 

‘The technology accurately identified movements 87% of the time. Eventually, the researchers aim to provide ICU staff with notifications when patients are in trouble.’

2. AI for clinical drug trials. 

As things stand now, it can take up to 15 years to bring a new—and potentially lifesaving—drug to market, according to a report published in Trends in Pharmacological Sciences. “It can also cost between $1.5 and $2 billion,” Simplilearn reports. “Around half of that time is spent in clinical trials, many of which fail.” 

‘Using AI technology, pharma researchers can identify the right patients to participate in the experiments. Further, they can monitor their medical responses more efficiently and accurately—saving time and money along the way.’

3. AI for EHR quality improvement. 

“Ask any healthcare professional what the bane of their existence is, and undoubtedly cumbersome electronic medical records systems will come up,” the authors write. “Traditionally, clinicians would manually write down or type observations and patient information, and no two did it the same. Often, they would do it after the patient visit, inviting human error.” 

‘With AI- and deep learning-backed speech recognition technology, interactions with patients, clinical diagnoses and potential treatments can be augmented and documented more accurately and in near real-time.’

4. AI for robot augmentation.  

Robots—the physical kind—are increasingly used in hospitals. Many are designed to leverage AI. “Surgical robots can provide ‘superpowers’ to surgeons, improving their ability to see and create precise and minimally invasive incisions, stitch wounds, and so forth.” 

‘With AI driving their decision-making processes, robots can improve the speed and quality of a wide range of medical services.’  

5. AI for the war on cancer.  

Big data technologies are “adept at analyzing genome sequencing to identify biomarkers for cancer,” the authors note. “They can also reveal groups that are at particular risk for cancer and find otherwise undiscovered treatments.” 

‘The most progressive companies are using big data techniques to speed their analyses and create treatments faster and with more tangible results.’

Addressing healthcare employers directly, Simplilearn writes:

‘Whether you’re looking to improve team skillsets in healthcare research, product development or healthcare services, AI and big data are helping to shape your strategy. Training for AI engineers, machine learning experts and big data engineers can make a difference as individuals try to find the right niche. Adding these skillsets will be instrumental in preparing you or your workforce for the rigors of a bold new world of global healthcare.’

The piece closes by listing a number of online courses on offer form Simplilearn. These range in duration and prices from “AI Engineer” (11 months, $1,449) to “AI & Machine Learning Bootcamp” (24 weeks, $8,000). 

Read the rest.

 

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

  • GenAI can give patients good info on prescription drugs. But the word can is doing a lot of work here. Researchers found this out when they queried Bing’s AI chatbot, an adaptation of Microsoft Copilot, on 10 common questions about the 50 most popular outpatient drugs. Of 500 answers the tool offered, most would have been beyond the reading comprehension levels of people without a college degree. Further, a subset of 20 select questions brought back potentially harmful responses at a 66% clip. The study’s authors, from the Friedrich-Alexander University in Germany, advise physicians exercise caution when recommending AI-powered search engines “until more precise and reliable alternatives are available.” Study summary with link to full paper
     
  • Speaking of Microsoft, the Big Tech titan is touting its latest work in healthcare-specific AI. The efforts include advances aimed at numerous categories of end users, model developers and technology partners. Example of the latter: Microsoft is working with Epic on AI-equipped applications for nurses. The announcement quotes a Duke nursing executive who lauds ambient AI for automating tedious tasks. This assistance, the exec says, “helps alleviate burnout and gives us more time to connect with our patients at the bedside, where we truly make a difference.”
     
  • Sleep. Food. Movement. Stress management. Connection. These are “the five key behaviors” that affect a person’s level of wellness. So says Arianna Huffington a few months after co-founding Thrive AI Health with Sam Altman. Attending to the five elements all at once amounts to taking a “miracle drug,” Huffington said at a recent event hosted by Fortune. AI can administer this good-for-what-ails-you therapy on the strength of its capacity to hyper-personalize health-improvement strategies, Huffington suggests
     
  • AI is even good for healthcare’s bottom line. How so? A Forbes contributing writer breaks it down in an opinion piece posted Oct. 15. “Focusing on the trifecta of AI, cybersecurity and payment integrity presents a powerful strategy to simplify the business of healthcare,” the writer, healthtech CEO Rajeev Ronanki, asserts. “The future of healthcare isn’t just about adopting new technologies—it’s about creating a new paradigm of care that’s more intelligent, secure and aligned with the needs of patients and business stakeholders alike.”
     
  • Healthcare leaders: Involve healthcare workers in selecting and adopting AI tools—or else. Frontline clinicians who’ll use the technology can be your best allies or your most formidable adversaries. That’s the warning of healthcare AI startup founder Abdel Mahmoud. Writing for Fast Company, he states that bringing healthcare practitioners into the conversation about AI is nothing less than a moral matter—“the right thing to do.” If you care about patient safety and patient outcomes, he stresses, doctors and nurses need to be part of the conversation. 
     
  • Johnson & Johnson goes full transparency on AI. Either that or it’s just showing off. In any case, it’s good to see the 138-year-old healthcare stalwart opening up about its AI works in progress. These include applying AI to improve surgical procedures, speed drug discoveries, identify research participants and advancing the technology on three other fronts. In the next few years, “AI is going to play an even bigger role” than it does now, says CIO Jim Swanson. “When we use AI,” he adds, “it’s always with a purpose.” 
     
  • Which AI use cases earn Likes from middle- and high-schoolers? Text-based tools, homework helps, AI search engines and chatbots get a thumbs-up. Image and video generators make the grade too. The findings are from a survey report published by Common Sense Media. Generally speaking, young people and their parents or guardians “recognize a mix of potential benefits and risks associated with educational applications of generative AI platforms,” the authors write. “Many think these technologies will impact their future education plans and job prospects.” Full report
     
  • We’re in good company. But that may be cold comfort. When it comes to worker risk for AI replacement, healthcare is about even with education and community & social services. All three have “medium exposure” to the hazard, according to a new analysis from Brookings. “Several very large occupational groups—such as business, management and healthcare work—stand to undergo significant exposure to generative AI,” Brookings finds. “This alone forecasts the technology’s broad implications for the labor market.” Important to note that the analysis looks at healthcare and other economic sectors overall. Prior research has shown patient-facing healthcare workers at very low risk of losing jobs to AI or other automation technologies. 
     
  • Recent research in the news:
     
  • Notable FDA Approvals:
     
  • Funding news of note:
     
  • From AIin.Healthcare’s news partners:
     

 

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