Healthcare AI News 9/13/23

News

A Harrisburg, PA TV station covers UPMC’s use of Abridge to create transcripts of doctor-patient encounter conversations. UPMC VP/CMIO Salim Saiyed, MD, says he has never had a scribe, but the system is like having a real-time scribe whose accuracy is 95%. He adds that the physician can focus on the patient instead of the computer and spends less “pajama time” completing documentation after hours.

Mass General Brigham and GE HealthCare will collaborate to develop an AI algorithm that will optimize radiology patient scheduling as part of GE HealthCare’s commercially available Radiology Operations Module.

OpenAI will hold its first developer conference on November 6 in San Francisco.

Business

RCM technology vendor Aspirion acquires AI-powered intelligent document processing platform vendor Infinia ML. Aspirion says it will run Aspirion as an R&D development shop that will be run by Infinia ML executive chair Nick Giannasi, PhD,  who was previously chief AI officer of Change Healthcare.

Crunchbase News leads off its list of “failed and struggling AI-focused unicorns” with Babylon Health, which it notes mentioned “AI” 25 times in its SPAC filing, raised $600 million at a valuation of billions, then filed bankruptcy last month.

Notable launches a conversational AI tool that helps patients find doctors, schedule appointments, create directions to a location, pay bills, and request prescription refills. It is fully customizable (including tone of voice), can converse in 130 languages, and can have its training extended by uploading training manuals or other documents.

A former Google AI researcher raises $100 million from big-name Silicon Valley investors for Inceptive, his startup that will use AI to develop drugs and vaccines.

Research

Researchers note that ChatGPT has accumulated 1,000 PubMed citations in nine months, which predicts its future influence even though one-third of the cited articles were opinion pieces. Google needed 14 years to hit the 1,000-citation mark.

Other

Attorneys note the healthcare regulatory risks of using AI:

• Running afoul of privacy laws when training AI systems using patient data.
• Using AI to replace rather than support clinicians, which could be construed as the unlicensed practice of medicine.
• Providers deviating from the standard of care based on AI recommendations, creating malpractice risk.
• Reducing physician supervision of lower-level employee who instead use AI, which could fail to meet payer requirements.
• Running afoul of the Anti-Kickback Statue if using vendor-developed AI algorithms that favor use of their products.
• Inadvertently practicing unlawful discrimination by using algorithms that use factors such as race, color, national origin, sex, age, or disability.

The Today show features a mother whose son’s chronic pain and other symptoms had baffled 17 doctors who had seen him over three years. She pasted notes from his MRI into ChatGPT, which provided a diagnosis of tethered cord syndrome, a deformation that limits the movement of the spinal cord and is related to spinal bifida. He is recovering from surgery to repair the condition.

Contacts

Mr. H, Lorre, Jenn, Dr. Jayne.
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