At ViVE 2024, Tarun Kapoor — chief digital transformation officer at New Jersey-based Virtua Health — highlighted a conundrum he thinks may be the reason why AI hasn't been able to move the needle when it comes to solving the clinician shortage.
This month, the World Health Organization released new guidelines on the ethics and governance of LLMs in healthcare. Reactions from the leaders of healthcare AI companies have been mainly positive. However, one leader pointed out that fear or the risks associated with LLMs shouldn't hinder innovation, and another noted that the guidance may have failed to mention a major topic.
Munck Wilson Mandala Partner Greg Howison shared his perspective on some of the legal ramifications around AI, IP, connected devices and the data they generate, in response to emailed questions.
I didn’t make it to this year’s J.P. Morgan Healthcare Conference in San Francisco, so I reached out to leaders from across the industry to hear how it went and learn about their takeaways from the event. This is a list of the nine most interesting responses that I received.
Last week, HHS finalized a new rule that requires healthcare AI developers to provide more data about their products to customers, which could aid providers in determining AI tools’ risks and effectiveness. Some AI leaders believe the new guardrails are a step in the right direction, and others are skeptical about whether the new rules are necessary or will be effective.
Nearly half of physicians are equally excited and concerned about the use of AI in their field, according to a new AMA survey. Those who felt optimistic about AI cited reduced administrative burden as the number one benefit they’re seeking. Patient privacy and the impact to the patient-physician relationship were the most common reasons physicians cited for having reservations about AI.
Elation Health released results of a survey it conducted to learn more about how primary care physicians feel about AI scribes. It found that they haven't really experienced the benefits of these tools yet, but they hope AI scribes can lead to time savings, reduced cognitive burden, improved job satisfaction, better patient focus and more time for care coordination.
At the Abarca Forward conference earlier this year, George Van Antwerp, managing director at Deloitte, discussed how social determinants of health and a personalized member experience can improve medication adherence and health outcomes.
Google introduced a new suite of healthcare-focused generative AI models designed to speed up workflows for clinicians and medical researchers. Health systems and medical research organizations, including HCA Healthcare and BenchSci, have been testing these models since April.
Researchers recently tested ChatGPT’s ability to answer patient questions about medication, finding that the AI model gave wrong or incomplete answers about 75% of the time. Providers should be wary of the fact that the model does not always give sound medical advice, given many of their patients could be turning to ChatGPT to answer health-related questions.
During a webinar, three health system leaders discussed strategies they use to ensure successful AI deployment. They agreed that one of the best ways health systems can prime themselves for fruitful AI deployments is beginning with a specific problem to solve — as opposed to having AI startups tell them which problems need to be addressed.
At RSNA 2023, GE HealthCare announced the launch of a new AI suite designed to simplify radiologists’ workflows when reading mammograms and help them detect breast cancer in patients sooner. The new offering includes three AI tools made by iCAD.
Gabby Everett, the site director for BioLabs Pegasus Park, offered a tour of the space and shared some examples of why early-stage life science companies should choose North Texas.
Two of Philips' most notable RSNA announcements were that its new cloud-based PACS is available and that its helium-free mobile MRI system will soon be deployed. More than 80 sites across the U.S. and Latin America have already migrated to Philips' new PACS, and its mobile MRI system will be traveling to various cities next year.
At RSNA 2023, AI startup Hoppr announced that it teamed up with AWS to launch a new foundation model. The product, named Grace, is a B2B model designed to help application developers build better AI solutions for the medical imaging field — and to build them more quickly.
Experts agree there are some concrete steps healthcare providers can take to ensure AI will be integrated more smoothly and equitably. Some of these measures include ensuring that models are trained on diverse datasets, keeping clinicians in the loop and prioritizing patient consent.
Patient communications platform Artera teamed up with healthcare AI startup Hyro to launch a new chatbot-style assistant for providers’ websites. Using the information already available on the provider’s website, the chatbot can answer patients’ questions 24/7. Some sample questions include “What are the office hours for the radiology department?” and “Where do I park for my visit?”
A new Duke study shows that KelaHealth's platform was associated with a 21% reduction in acute kidney injury and a 24% decrease in costly readmissions following colorectal surgery. The platform delivers insights about individual patients’ surgical risks and what their care journeys should look like.