Diamensions uses AI to help care teams identify deteriorating diabetic patients before a crisis — not after.
Most health systems only act when patients are already in crisis. By then, the damage — and the bill — is done.
Average cost per diabetes-related hospitalization — preventable with earlier intervention.
Of diabetic patients miss their HbA1c targets annually, often without anyone noticing.
High-risk patients never receive proactive outreach from their care team.
Three steps that turn fragmented health records into a clear, prioritized view of patient risk.
Step 01
Pulls in EHR data, labs, pharmacy refills, and clinical notes — all the signals that typically live in silos.
Step 02
AI identifies patients silently drifting toward complications — weeks before a lab value turns critical.
Step 03
Clinicians get a prioritized daily worklist — not another dashboard to wade through before morning rounds.
We didn't build another analytics platform. We built a clinical ally.
Catch silent deterioration weeks before a hospitalization. Give care teams the time to intervene when it actually makes a difference.
Built at the intersection of AI research and clinical care — grounded in peer-reviewed evidence, validated on real patient populations.
Every design decision reduces cognitive load, not adds to it. Diamensions fits into existing clinical workflows instead of disrupting them.
Limited spots available for forward-thinking health systems ready to move from reactive to proactive diabetes care.
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