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# Healthleap Raises $38M to Expand Hospital AI Screening Beyond Malnutrition
- URL: https://www.implicator.ai/healthleap-raises-38m-hospital-ai-screening/
- Published: 2026-10-07T16:35:33.000Z
- Updated: 2026-10-07T16:35:33.000Z
- Description: Healthleap raised $38 million to expand hospital AI screening. Its CEO says more than 50 hospitals use the software, but the published study covers malnutrition at one site. The company's Penn Medicine savings claim comes from a case study. Here is what the evidence supports so far.
- Author: Marcus Schuler
- Tags: AI News, #home-companion

Healthleap raised [$38 million in financing](https://techcrunch.com/2026/10/07/healthleap-raises-38m-for-its-ai-that-flags-hospital-patients-who-may-need-a-closer-look/?ref=implicator.ai) disclosed Wednesday. CEO Josiah Meyer said hospitals already use its system to screen for malnutrition and delirium, and the company plans to add conditions. The published study evaluated malnutrition screening alone and did not validate those broader uses.

The financing comprises an $8 million seed round co-led by Sequoia Capital and First Round Capital and a $30 million Series A led by Hummingbird Ventures. Healthleap has not disclosed its valuation.

What Changed

- Healthleap disclosed $38 million in seed and Series A financing to expand hospital risk screening.
- CEO Josiah Meyer says hospitals already use its software for malnutrition and delirium.
- A 2025 retrospective study at one hospital tested malnutrition screening, not the additional conditions.
- Healthleap attributes $23.8 million in annualized impact at one Penn Medicine hospital to its program.

AI-generated summary, reviewed by an editor. [More on our AI guidelines](https://www.implicator.ai/about/).

## Daily chart screening

[Healthleap](https://healthleap.ai/?ref=implicator.ai) connects to hospitals’ electronic health record systems. Language models extract information from written notes, including references to poor appetite, weight loss and difficulty swallowing. Risk models combine those findings with structured information such as laboratory results.

Meyer said the platform reviews adult inpatient records nightly and places risk scores in care teams’ existing workflows each morning. Healthleap says the software highlights patients for further assessment and does not diagnose them. Clinicians still have to review flagged patients and determine whether they have a condition requiring care.

Meyer said Healthleap grew from three hospital partners to more than 50 over the past year. He said revenue increased more than tenfold during that period, without disclosing a revenue base. Customers include Penn Medicine, Cedars-Sinai, Intermountain, Houston Methodist and Emory Healthcare, he said.

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The company sells three-year contracts priced by licensed bed count and also offers pricing tied to financial results. Meyer said every customer had achieved hard financial returns of at least five times the contract price to date.

## Malnutrition evidence

A [peer-reviewed study](https://pmc.ncbi.nlm.nih.gov/articles/PMC12618146/?ref=implicator.ai) published in Applied Clinical Informatics in 2025 evaluated 166,841 admissions involving 106,449 patients at Cedars-Sinai Medical Center from January 2019 through September 2022\. The retrospective analysis covered nearly four years at one hospital.

On the first day of hospitalization, the model achieved an AUROC of 0.92 against malnutrition recorded in discharge codes. That measure describes how well a model separates cases from non-cases across possible screening thresholds. It is not the percentage of patients correctly diagnosed.

First-day sensitivity against discharge-coded malnutrition was 0.49 for the model versus 0.24 for the modified, nurse-administered Malnutrition Screening Tool used at the hospital. Against dietitian-recorded malnutrition, first-day sensitivity was 0.52 versus 0.35\. The model threshold was adjusted to flag the same number of patients as the modified nurse tool. That comparator differed from the validated version. Discharge codes can also miss or misclassify cases, and dietitian documentation can vary. Four of the nine study authors were Healthleap employees and three were advisers.

The study did not test whether deploying the software improved patient outcomes. It did not validate screening for delirium, aspiration pneumonia, pressure ulcers or heart failure readmission.

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## Hospital workflows

A [2021 systematic review](https://effectivehealthcare.ahrq.gov/products/malnutrition-hospitalized-adults/research?ref=implicator.ai) from the Agency for Healthcare Research and Quality found no eligible studies testing whether malnutrition screening improved clinical outcomes, largely because studies lacked appropriate control groups.

A separate [Mount Sinai implementation study](https://pmc.ncbi.nlm.nih.gov/articles/PMC10375393/?ref=implicator.ai) published in 2023 examined MUST-Plus, a different machine learning malnutrition screener. Dietitians found it useful for identifying patients and prioritizing work, but perceived accuracy and usefulness varied across hospitals. Some reported that false positives added work. Staff also sought more training and autonomy in deciding whom to assess.

## Expansion plans

In a [company-distributed case study](https://healthleap.ai/evidence?ref=implicator.ai) updated in August 2026, Healthleap claimed $23.8 million in annualized financial impact from malnutrition screening at Penn Medicine’s Hospital of the University of Pennsylvania. The total comprises $6.3 million in extra reimbursement and $17.5 million attributed to shorter stays. Healthleap says Penn Medicine’s own Strategic Decision Support team internally validated the financial figures. The benefits were reported in an implementation case study rather than an independent controlled trial.

Meyer said programs for aspiration pneumonia, pressure ulcers and heart failure readmission risk were undergoing further clinical validation. He said the company wants to cover more than 40 major conditions and expand into outpatient and home care.

Frequently Asked Questions

What does Healthleap's software do?

It reviews adult inpatient records each night, combines details from clinicians’ notes with structured data, and places risk scores in care teams’ workflows. Clinicians assess flagged patients; the software does not diagnose them.

How much did Healthleap raise?

The company disclosed $38 million: an $8 million seed round co-led by Sequoia Capital and First Round Capital and a $30 million Series A led by Hummingbird Ventures.

What did the malnutrition study measure?

A 2025 retrospective study at one Cedars-Sinai hospital evaluated 166,841 admissions. First-day sensitivity was 0.49 versus 0.24 against discharge codes and 0.52 versus 0.35 against dietitian records, comparing Healthleap's model with the modified nurse-administered tool. The model was set to flag the same number of patients.

Has the published study validated delirium screening?

No. The published study evaluated malnutrition screening. Meyer says hospitals already use Healthleap for delirium, while other condition programs remain under further clinical validation.

What is the Penn Medicine savings claim?

Healthleap says its program produced $23.8 million in annualized impact at one Penn Medicine hospital, comprising $6.3 million in additional reimbursement and $17.5 million attributed to shorter stays. The figures come from a company-distributed case study, not an independent controlled trial.

AI-generated summary, reviewed by an editor. [More on our AI guidelines](https://www.implicator.ai/about/).

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