The AI boom could strengthen Epic's position, health system execs say. Here's where startups and health tech vendors can still win
fiercehealthcare - Clinician-facing AI, imaging AI, patient AI assistants, discharge and care transitions and revenue cycle AI are the categories where health systems are most willing to look beyond Epic, executives said.
AI Summary: Health system executives warn that the surge in AI interest is strengthening incumbent EHR vendors, notably Epic, which can bundle AI features into existing workflows at scale. Startups face an uphill battle unless they target niche integration gaps, interoperability wins or demonstrable ROI — in short, cleverness and agility beat nostalgia for disruption.
- Connecting care: interoperability, prior auth and data exchange (5)
- Epic's AI offensive: UGM rollouts, tools and tokenomics (9)
- Health systems scaling AI: governance, ROI and safety (7)
- Startups and vendors: where to pivot in an Epic world (7)
- All Other Stories
Connecting care: interoperability, prior auth and data exchange
Epic's AI offensive: UGM rollouts, tools and tokenomics
Health systems scaling AI: governance, ROI and safety
Startups and vendors: where to pivot in an Epic world
All Other Stories
NCCS Develops AI Tool to Predict Liver Cancer Recurrence After Surgery
oncodaily - National Cancer Centre Singapore (NCCS) shared on LinkedIn: “Can we now predict who’s at greatest risk for liver cancer recurrence? Congratulations to NCCS’ Professor Pierce Chow, Associate Professor Wai Leong Tam, Mr. Karthik Sekar, […]
AI Summary: A newly developed AI model predicts risk of liver cancer recurrence following surgical resection, integrating imaging and clinical variables to stratify patients more accurately. Early validation suggests the tool could personalize surveillance intensity and adjuvant therapy decisions, reducing unnecessary exams for low‑risk patients while focusing resources where recurrence risk is highest.