Care and bill for patients you would have missed

HealthLeap continuously screens every patient for malnutrition using live data that’s already in the chart—from lab results to clinical notes—so patients get better faster, and you get reimbursed for the care you deliver.

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Backed by

Sequoia logo 50 Years logoFirst Round Capital logo
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trusted by

Cedars-Sinai

“Patients get identified earlier, and some patients get caught who would have been missed without HealthLeap. It takes me less than 5 minutes each morning.”

Registered Dietitian

Cedars-Sinai Medical Center

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+39%

More malnutrition diagnosed

100%

Of adult inpatients screened daily

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Today's Problem

Patient charts are packed with data, but busy clinicians still have to manually comb through for relevant signals.

This means conditions get missed and diagnoses delayed—hurting patient outcomes and costing hospitals money...

Improve patient outcomes by identifying risk days earlier

HealthLeap allows clinicians to identify inpatient malnutrition earlier, leading to drastic reductions in length-of-stay and readmission rates.

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2.3 days

Average earlier detection

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1.1-1.9 days

Shorter length of stay (LOS)

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29%

Reduction in 30-day readmission rates

Save clinician time

Dietitians can determine which patients need care without having to comb through health records, saving them time every day.

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Drive additional revenue with 39% more malnutrition identified

Appropriately bill for treatment with the relevant supporting evidence. HealthLeap automatically aggregates and documents diagnostic criteria.

A Growing Healthcare Platform

Malnutrition is just the beginning...

HealthLeap’s general-purpose AI platform already outperforms on multiple conditions

Pressure injuries

89.7 AUROC — outperforming the clinician-administered Braden Scale

Heart failure readmission

Risk model already identifies the 25% of CHF patients who will account for 55% of 90-day readmissions

Social determinants of health (SDOH)

Results coming soon...

Unlock the potential of AI for your patients

Book a demo to learn more about how HealthLeap can benefit you

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FAQ

Find answers to common questions about our platform, implementation, and its benefits.
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Still have questions?

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How do I get off the waitlist?

Book a demo to learn more and answer a couple of our questions live on a call.

How does AI screening benefit patients, providers, and hospitals?

Our malnutrition solution is a win-win for patients, clinicians, and healthcare providers. The right patients get treatment earlier, clinicians save time each day, and healthcare providers generate appropriate revenue to cover their costs.

How does HealthLeap improve hospital revenue?

Intervening on malnutrition earlier has been shown to improve patient outcomes, reduce length of stay, and reduce readmissions. Detecting malnutrition (highly underdiagnosed) more accurately helps hospitals get reimbursed for the care they actually deliver.

Can your AI platform be customized for specific hospital needs?

We fine-tune our AI models so the predictions are specific to the facility, units, and patient population. We customize to local workflows and policies to help clinicians with patient prioritization.

What clinical evidence supports the use of HealthLeap?

We’ve co-authored a retrospective paper (Artificial Intelligence-Based Hospital Malnutrition Screening: Validation of a Novel Machine Learning Model), publication coming soon!