Cognimark provides an AI‑driven neurology copilot that automatically generates quantitative cognitive scores for multiple dementia subtypes from existing EHR data, eliminating the need for extra tests. The platform integrates with major EHR systems to deliver real‑time, attributable scores and a dashboard that highlights patients with high eligibility for clinical trials, improving screening efficiency and expanding trial recruitment.
Funding
Funding not disclosed
Founders
Product
Problem
Clinicians often rely on limited, manually collected cognitive assessments to identify dementia subtypes, resulting in low screening positivity rates and inefficient recruitment for clinical trials.
Solution
Cognimark offers an AI‑driven neurology copilot that automatically extracts quantitative cognitive scores from routine electronic health record (EHR) data. By analyzing existing patient information, the platform provides immediate, attributable scores across multiple dementia types and stages without requiring additional tests. The solution integrates with major EHR systems, enabling seamless pre‑screening workflows and delivering more accurate identification of mixed‑dementia cases. This accelerates patient selection for clinical studies, improves screen positivity beyond the national average, and expands the pool of eligible participants.
Target Audience
Primary users are neurologists, geriatric specialists, and clinical trial coordinators who need rapid, data‑driven dementia screening within healthcare systems.
Features
- AI algorithms that infer detailed cognitive function scores from standard EHR data fields
- Attribution of scores to specific dementia subtypes and disease stages
- Capability to detect and quantify co‑occurring (mixed) dementias
- Real‑time analysis delivering instant results within the clinician’s workflow
- Plug‑and‑play integration with leading EHR platforms using existing data sources
- Dashboard view that highlights patients with high trial eligibility likelihood