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Friday, October 25, 2024
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artificial intelligence AI in children's pediatric healthcare

10 ways AI, robotics are improving pediatric care in real-world settings

For whatever reason, the grownups seem to get all the attention when talk turns to AI in healthcare. All the kiddos get to do is look on and listen in. Now comes a worthy little effort to balance the seesaw.

It comes from the B2B healthcare services company Vizient, which has published an online magazine covering a number of advances in pediatric care. The publication, Pediatric Tech Watch, gives two full pages to AI. The section summarizes examples of the technology in action at children’s hospitals. Here are 10. 

1. At Children’s Hospital Los Angeles, robots are now an integral part of day-to-day logistics, handling various delivery tasks. Within four months, the robots made more than 2,500 deliveries and traveled 132 miles, saving staff 1,620 hours of time. 

This automation allows healthcare professionals to focus more on direct patient care rather than logistical tasks.

2. Gillette Children’s Hospital in St. Paul, Minn., is using AI to automate patient intake and scheduling, streamline operations and enhance patient experiences. 

This automation has saved staff 118 hours of intake work per week.

3. Children’s Nebraska, a hospital based in Omaha, has made its operating room schedules more efficient using a predictive analytics tools and automation platform to ensure better utilization of critical resources. 

The technology has helped the institution boost efficiency and reduce patient wait times while also achieving a 12% increase in overall surgical volumes, a 7% increase in primetime utilization of operating rooms, a 25% improvement in proactive block-time releases and a 45% improvement in proactive block-time requests.

4. UPMC Children’s Hospital of Pittsburgh uses AI algorithms to make it easier to diagnose ear infections. 

The institution now has 93% accuracy, compared to 30% to 84% (range due to difficulty in diagnosis) accuracy for clinicians. These developments not only improve care delivery but also ensure better health outcomes for young patients.

5. In Ohio, Nationwide Children’s Hospital in Columbus utilizes a machine learning tool that flags pediatric patients at risk of deterioration of a worsening condition, allowing for timely interventions that have notably reduced deterioration rates. 

Pilot results over 18 months showed a 77% reduction in deterioration events.

6. Researchers at Cincinnati Children’s Hospital Medical Center have harnessed AI to refine emergency department screenings for clinical trial participants. 

This AI automation has reduced patient screening time by 34% compared to manual methods. The technology has improved enrollment rates too, facilitating more efficient research processes through the analysis of data and unstructured narratives.

7. The National Human Genome Research Institute in Bethesda, Md., is leveraging AI to aid pediatric residents in identifying symptoms of rare diseases through AI-generated images. 

This initiative helps bridge the gap in real-world data, providing residents with the tools needed to improve recognition.

8. Children’s Hospital Colorado is exploring AI’s potential to identify patients at risk of suicide ideation amid rising anxiety and depression among children and adolescents. 

This proactive approach aims to provide interventions to help reduce risk.

9. Salt Lake City-based Intermountain Healthcare uses an in-house AI platform to analyze systemwide data to help standardize equipment procurement for surgeries. 

This innovation saved $90 million over a four-year timeframe while reducing postoperative complications.

10. In Georgia, Children’s Healthcare of Atlanta Arthur M. Blank Hospital recently opened with a fleet of 90 robots and 60 facility- and supply-chain-related technical systems. 

CIO Jeremy Meller in Healthcare IT News: ‘We have a long-term investment in predictive analytics but are more recently looking at how generative AI can be used in meaningful and safe ways.’

Peruse the magazine in flipbook format here.

 

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artificial intelligence AI in healthcare

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

  • Customer service augmentation is an every-industry AI application. It’s as relevant to, say, transportation as it is to healthcare. But it matters that travelers and shippers have very different service needs than patients. This goes without saying, but the point is important enough that a top business analyst feels it deserves spelling out. “You have to think about what is most relevant to your business context,” cautions Charlie Dai, vice president and principal analyst at Forrester Research. He further warns against temptations to apply easy, one-size-fits-all thinking to AI adoption. Dai made the “universal vs. particulars” remarks at the Chief Digital & Data Officer Summit in Hong Kong this month. He also noted how little the challenges of enterprise AI—data siloes, sticker shock, Bring Your Own AI to Work—have changed over the past half-decade. There’s more from Dai’s talk at CDO Trends
     
  • Can’t anybody here play this game?’ The quote is from legendary baseball manager Casey Stengel, who famously spoke those words to his pitiful 1962 New York Mets. The line may as well have come from FDA Commissioner Robert Califf at the HLTH conference in Las Vegas this week. “I don’t know of a single health system in the U.S. that is capable of doing” proper AI validation, he told attendees. “If you want to know that your AI is actually doing what you thought it was doing, you actually need to validate it in the situation in which it’s being used.” MedCity News has coverage of the talk. Play ball
     
  • Let’s not work at AI in healthcare like we’re 7-year-olds playing soccer. There’s another memorable quote coming out of the HLTH conference. This one is from Google AI senior research director Greg Corrado. With soccer kids, “everybody’s on the ball, and they’re all missing the bigger opportunity,” Corrado said to clarify the gentle scold. 
     
  • Payers are still running ahead of providers in the AI arms race, but the laggers are determined to catch up. One more item from HLTH, this one via Healthcare Dive. “It’s still early innings, but I think the technology is actually going to go a long way to leveling that playing field, from a provider’s perspective,” said Amit Phull, chief physician experience officer for Doximity. Phull added that AI will soon enough give providers “a leg up” in claims disputes while also trimming the time it takes to do claims documentation. 
     
  • The influence of AI on health-tech investments cannot be overstated. So say the investment experts at Bessemer Venture Partners. In a report on the state of healthcare technology released last week, the firm notes the share of health-tech dollars invested in AI-focused companies has increased by nine percentage points in just two years. “The valuations that some of these AI companies are commanding can range from two to five times higher than their non-AI counterparts,” the authors write. “These high valuation multiples showcase the private market excitement for new business models, market and technology category creation.” The report is available in full for free.
     
  • At Harvard Medical School, they’re hitting medical students with AI early and often. For those on HMS’s health sciences and technology track, the training and education in healthcare AI starts with an introductory course and builds out from there, depending on the student’s chosen path. “We’re trying to teach not just knowledge but skills,” HMS dean for medical education Bernard Chang, MD, tells the Harvard Crimson. “Part of it is, yes, teaching about how AI works, how it is present in healthcare and how it might revolutionize healthcare. And part of it is, here are some problem sets. Do these coding examples. Write a paper with your group, present it, get feedback.” 
     
  • Healthcare is up first as Nvidia and Microsoft start doing more to bolster global AI startups. Nvidia will supply selected companies with credits to run GPU-optimized AI models, preferred pricing on Nvidia AI Enterprise and a handful of other helps. Microsoft will give the same outfits Microsoft Azure credits, access to various AI models and entry into its Pegasus Program for go-to-market support. Details
     
  • Foom. Prompt chaining. Stochastic parrot. Just a few terms about which I didn’t know diddly until I happened upon a new glossary with 48 bits of GenAI jargon that “everyone should know.” A big Thank You for That to the communicative techies at CNET. 
     
  • Recent research in the news: 
     
  • Funding news of note:
     
  • From AIin.Healthcare’s news partners:
     

 

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Enlitic Acquires Laitek, Revolutionizing Medical Imaging Data Management

FORT COLLINS, Colo., Oct. 17, 2024 (GLOBE NEWSWIRE) -- Enlitic, Inc. (ASX:ENL, the “Company”), a leader in healthcare data standardization, announced today it has acquired LAITEK Inc., a global leader in medical imaging solutions with over 40 years of experience. This strategic move bolsters Enlitic's market position and expands its data management capabilities.   
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