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October 12, 2026

Takeaways from the most recent news in the technology and policies shaping healthcare.

Health IT

AI Portal Message Drafts Slow Physicians, Dartmouth Finds

One of the most hyped uses of AI in healthcare is drafting replies to the flood of patient portal messages that burden physicians. New research from Dartmouth complicates that pitch.

Researchers at Dartmouth, based in Hanover, N.H., analyzed 146,000 messages exchanged between 10,105 patients and their primary care physicians on the online portal at Dartmouth Health in Lebanon, N.H. They found that AI-generated draft responses frequently introduced errors, and that editing those drafts could take physicians more time than writing replies from scratch, according to Becker's Hospital Review.

The finding matters because reducing inbox burden is a core selling point for AI tools now embedded in electronic health records at systems nationwide. If clinicians must carefully review and correct every draft to catch mistakes, the promised time savings can evaporate. The results suggest health systems should measure real editing time and error rates before assuming these tools cut workload, rather than trusting vendor claims about efficiency.

More in Health IT

Health IT

Emergence Acquires Clinect to Push AI Patient Experience Tools

Private equity firm Emergence acquired Clinect Healthcare to expand AI-driven patient experience and reputation management software for providers.

Why it matters: Patient experience scores drive both reputation and Medicare reimbursement, making survey data a valuable foundation for AI analytics.

Health IT

Patient Access Problems Are Really Workflow Problems

Healthcare Dive argues that patient access delays are driven by fragmented workflows rather than staffing shortages alone.

Why it matters: Treating access as a workflow problem, not a staffing one, points leaders toward higher-leverage fixes amid tight labor and thin margins.