Data AnalysisVerified
Reviewed and published by trentmaziarz, July 11, 2026. Discovered and drafted by our automated research pipeline.
Beth Israel Lahey Health uses an internally developed AI model that predicts whether a patient is likely to miss a scheduled appointment. The tool is used by BILH's IT department to support scheduling decisions and patient outreach.
Details
Described publicly by BILH's IT team at the 2025 AI and Machine Learning Symposium, the model predicts no-show likelihood based on appointment data. BILH has stated that the intended use of this prediction is to trigger patient reminders and address barriers to attendance rather than to overbook slots, with an explicit focus on reducing healthcare disparities. The full technical scope, input features, and deployment scale are not publicly detailed beyond this disclosure.
Products affected
Internal scheduling operations tool
Sources & Evidence
Other practices by Beth Israel Lahey Health
ProductivityBeth Israel Lahey Health deployed Heidi, an ambient AI scribe tool, system-wide to all of its more than 6,000 physicians across 14 hospitals and 175 primary care practices. The rollout followed a six-month pilot with 1,000 providers that showed strong satisfaction and time savings.ProductivityBeth Israel Lahey Health integrated an AI-powered internal chatbot called ChatPPGD that lets clinical staff search more than 3,800 care guidance documents by asking questions in plain language. The tool is used internally by attending staff and fields over 800 queries per week.Data AnalysisBeth Israel Lahey Health announced plans to use AI-enhanced tools to match patients to clinical trials as part of a new high-performance computing infrastructure funded by a Dell Technologies grant. The initiative was announced in May 2026 and is not yet confirmed as fully deployed.
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