AI Trace
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

Cite this record

Trace Foundation. (2026). Beth Israel Lahey Health: 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 (data as of 2026-07-11) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/5b780f36-098c-4c98-a6b7-643e5e5928e7. Accessed October 10, 2026.

Stable link
https://www.aitrace.org/r/practice/5b780f36-098c-4c98-a6b7-643e5e5928e7
Data as of
July 11, 2026
Last verified
Not recorded

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