Healthleap Raises More Than $38 Million for AI Hospital Screening
The platform analyzes electronic health records to flag hospitalized patients who may need additional clinical attention, starting with malnutrition screening.

Healthleap has raised more than $38 million to expand software that analyzes hospital electronic health records and flags inpatients who may need additional clinical attention, beginning with malnutrition screening.
The platform combines structured information, including laboratory results, vital signs and patient weights, with clinicians’ notes, medications, diet orders and diagnoses. It reviews the records continuously and adds risk information to the care team’s existing workflow.
The model recorded an area under the receiver operating characteristic curve (AUROC) of 0.92 on the first day of a hospital stay and 0.95 across the full stay. Its sensitivity was 88% higher than the modified Malnutrition Screening Tool, and it identified cases an average of four days before a dietitian documented them.
Healthleap evaluated the model across more than 166,000 admissions involving more than 106,000 patients over 3.75 years.
At the Hospital of the University of Pennsylvania, the platform generated an estimated $23.8 million in annualized financial impact. That figure includes $6.3 million in higher reimbursement and $17.5 million attributed to shorter stays, including 8,632 annualized bed-days saved.
At Cedars-Sinai, the company recorded 39% more malnutrition diagnoses with the same staffing level and a 1.1-day reduction in length of stay for patients with malnutrition.
Healthleap was founded by Jemima Meyer, a clinical dietitian, and Josiah Meyer, its CEO and co-founder. Sequoia Capital and First Round Capital back the company.
The company plans to extend the screening approach to other conditions that may be missed in routine hospital workflows.