AI Trace
Data AnalysisVerified

Reviewed and published by trentmaziarz, July 11, 2026. Discovered and drafted by our automated research pipeline.

During the COVID-19 pandemic, Blue Cross Blue Shield of Massachusetts used an AI algorithm to identify which of its members were at the highest risk of developing serious health conditions if infected with COVID-19, then routed those members to a team of nurse case managers for direct outreach and support.

Details

The company's data and analytics team built a predictive model that analyzed member health data to score COVID-19 risk levels. Members identified as high-risk were then contacted by Blue Cross nurse case managers who provided education and support resources. The company's chief data and analytics officer noted the model was a continuation of its broader use of AI to assist members and said the team planned to continue fine-tuning it.

Products affected

Internal member risk stratification model

Sources & Evidence

Cite this record

Trace Foundation. (2026). Blue Cross Blue Shield of Massachusetts: During the COVID-19 pandemic, Blue Cross Blue Shield of Massachusetts used an AI algorithm to identify which of its members were at the highest risk of developing serious health conditions if infected with COVID-19, then routed those members to a team of nurse case managers for direct outreach and support (data as of 2026-07-11) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/def0f785-ad31-4d9d-8aba-4491b9d1237b. Accessed October 10, 2026.

Stable link
https://www.aitrace.org/r/practice/def0f785-ad31-4d9d-8aba-4491b9d1237b
Data as of
July 11, 2026
Last verified
Not recorded

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