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Healthmine (QRM / QRM Connect) — Medicare Advantage member engagement corpus at scale: outbound campaign exposure and response logs, two-way SMS conversations and AI-assisted call recordings/transcripts with Medicare and D-SNP members, member segmentation attributes (QRM risk/acuity and social-risk dimensions), and the downstream retention outcome per member (stayed vs disenrolled) tied to CAHPS/HOS survey performance and to displaced-member cohort status. The most distinctive asset in this cohort from an AI-training standpoint. A 130-person, ~$21M-revenue Dallas firm, but its position is sin…
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Medicare Advantage member engagement corpus at scale: outbound campaign exposure and response logs, two-way SMS conversations and AI-assisted call recordings/transcripts with Medicare and D-SNP members, member segmentation attributes (QRM risk/acuity and social-risk dimensions), and the downstream retention outcome per member (stayed vs disenrolled) tied to CAHPS/HOS survey performance and to displaced-member cohort status
From 10 yearsCoverage Health CareAsset class Equities
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Healthmine (QRM / QRM Connect) — Medicare Advantage member engagement corpus at scale: outbound campaign exposure and response logs, two-way SMS conversations and AI-assisted call recordings/transcripts with Medicare and D-SNP members, member segmentation attributes (QRM risk/acuity and social-risk dimensions), and the downstream retention outcome per member (stayed vs disenrolled) tied to CAHPS/HOS survey performance and to displaced-member cohort status. The most distinctive asset in this cohort from an AI-training standpoint. A 130-person, ~$21M-revenue Dallas firm, but its position is sin…
Healthmine offers (Alternative, Sentiment, Fundamental) — est. very large conversational layer: at a ~$21M-revenue payer-tech vendor serving large MA plans, hundreds of millions of member message/call touch events cumulatively, of which the two-way SMS threads and AI-assisted call recordings are the high-value slice — plausibly millions of conversational turns and tens of thousands of hours of elderly-speaker audio with matched transcripts.
Fine-tuning voice assistants and ASR for elderly/hard-of-hearing and accented speech (a structurally under-represented population in mainstream corpora); intent and service-friction classification from real member-service conversations; healthcare communication preference models; churn/retention survival models; RLHF-style preference data for empathetic outbound voice agents; CAHPS/HOS outcome prediction; synthetic Medicare member-simulation corpora
The data is with 10 years of history.
Coverage spans US; Health Care Technology; alternative, sentiment, fundamental; equities.
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