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Healthleap raises $38M in seed and Series A funding for AI platform identifying at-risk hospital patients
Key points
- Healthleap raised $38 million in seed and Series A funding.
- The AI platform identifies hospital patients at risk of undiagnosed illnesses.
- It analyzes both structured data and clinical notes from electronic health records.
- The platform is currently deployed in over 50 hospitals.
Funding Details
Healthleap, an AI startup focused on patient risk identification, has successfully raised $38 million. This funding comprises an $8 million seed round co-led by Sequoia Capital and First Round Capital, and a $30 million Series A round led by Hummingbird Ventures. The company has not disclosed its valuation.
Platform Functionality
Healthleap's platform integrates with hospital electronic health record systems to analyze patient data. It uses language models to extract relevant information from clinicians' written notes, such as mentions of poor appetite or weight loss, and combines this with structured data like lab results and vital signs. This analysis generates risk scores, which are then provided to care teams through a dashboard.
Identifying Undiagnosed Conditions
The AI platform aims to identify hospital patients who may be suffering from conditions that are often not detected early enough, such as malnutrition or delirium. While the software highlights items for additional review, it does not provide diagnoses. Healthleap has also developed programs for conditions like aspiration pneumonia, pressure ulcers, and congestive heart failure readmission risk, which are undergoing clinical validation.
Current Deployment and Impact
Currently, Healthleap's platform is deployed in more than 50 hospitals, where it screens patients for various conditions. By providing care teams with daily risk scores and patient trends, the technology seeks to enable earlier intervention and potentially improve patient outcomes by drawing attention to individuals who may require closer medical attention.
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Reporting from
Healthleap secured $38 million in seed and Series A funding to develop its AI platform, which analyzes patient records to identify hospital patients at risk of undiagnosed conditions like malnutrition or delirium. The platform integrates with electronic health record systems, using language models to extract information from clinical notes and structured data to generate risk scores for care teams. This funding enables Healthleap to expand its deployment and further validate programs for various conditions, potentially improving early detection and patient outcomes in hospitals.