Aaron Neinstein, CMO at Notable, moderated AI panel at Annual Meeting of Hospital Association of San Diego and Imperial Counties. Panelists shared lessons: begin with problem, set north star goals for AI, use AI for leveraging EHR unstructured data, nurture AI-literate workforce, assess organizational risk tolerance, use AI for democratizing healthcare information access, create AI-related learning, foster operations-IT partnership, and choose right vendor. Majority shown to prefer AI-using institutions.

Aaron Neinstein’s Post LinkedIn

Human discovery and tools evolved healthcare, humanity remained constant. Pediatric ICU displays healing power; healthcare technology mainly people, process over technology. Tools of health, like penicillin, advanced care delivery. AI's introduction, despite seeming sudden, development spans decades. AI adoption in healthcare presents challenges, needs human discernment. Back-office systems and healthcare processes increasingly utilizing AI. CommonSpirit employs 60 AI-based systems. Healthcare can use AI for tasks like call automation. AI also aids employees and patients in admin tasks and appointments scheduling. AI clinical use necessitates absence of algorithmic bias. AI tools reducing documentation burden for clinicians; instrumental in identifying sepsis and stroke. Entire patient care entrusted solely to AI remains a future goal; clinicians must retain final decision power. AI sits between clinician and patient; humanity encompasses healthcare.

AI in Healthcare - Embrace the Wolf, Beware the Husky LinkedIn

AI in healthcare advanced with Google's Med-PaLM, MedLM models. MedLM, designed for healthcare uses, available for US Google Cloud customers. Two models under MedLM cater to different healthcare needs. In future, Gemini-based models to be integrated. HCA Healthcare, BenchSci, Accenture, and Deloitte benefitted from MedLM. HCA Healthcare improved medical documentation with Augmedix. BenchSci expedited drug development. Accenture enhanced healthcare experience, outcomes. Deloitte improved provider search. Google emphasizes safe, responsible AI use in healthcare.

Introducing MedLM for the healthcare industry | Google Cloud Blog Google Cloud Blog

The Office of the National Coordinator for Healthcare Technology finalizes health IT certification rules. The Health Data, Technology, and Interoperability: Certification Program Updates rule implements provisions of the 21st Century Cures Act, improving interoperability, transparency and access to electronic health information. Health IT developers must report metrics giving insight into certified IT support for care delivery. AI transparency requirements are addressed while info-blocking definitions and exceptions are revised. The rule also includes a new Trusted Exchange Framework and Common Agreement exception. HIMSS favors the rule and the EHRA expresses timing concerns for implementation of new requirements.

ONC inks final health IT certification rule Healthcare IT News