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HealthLeap Announces Deployment of its AI Nutrition Risk Identification Platform at Houston Methodist


San Francisco, CA – WEBWIRE

Gaps in identifying patients at risk for inadequate nutrition remain a widespread and often under-recognized challenge across hospital systems. Today, HealthLeap announced it has launched its AI-driven clinical screening platform across Houston Methodist’s system to help address this issue earlier and more consistently among at-risk inpatients.

Although only about nine percent of hospitalized patients nationwide are formally diagnosed with nutrition-related conditions, an estimated 30% to 50% may be at risk. When these needs go unrecognized, it can delay intervention and contribute to longer hospital stays, slower recovery, and added strain on both patients and health systems. Strengthening early identification is increasingly viewed as a key component of more proactive, patient-centered care.

“At Houston Methodist, we are focused on strengthening how we identify patients who may benefit from additional nutrition support,” said Michelle Stansbury, associate chief innovation officer and VP of IT applications at Houston Methodist. “By incorporating advanced screening tools into the clinical workflow, we can help care teams recognize risk earlier, intervene sooner, and support more timely recovery for patients.”

Traditional nutrition screening often relies on manual assessments and admission-day questionnaires, which may not capture changes in patient risk over time and can make it difficult to consistently identify patients who need nutrition intervention early. By integrating AI-driven screening and prioritization into existing workflows, HealthLeap is designed to help health systems identify at-risk patients earlier and surface those who may need attention most urgently. Earlier identification allows care teams to proactively help stabilize patients sooner while supporting the most efficient care delivery.

HealthLeap’s validated AI system screens 100% of inpatients daily, from admission through discharge. This continuous visibility is intended to give clinicians a more complete picture of patient risk over time, enabling earlier interventions that may help reduce complications, prevent avoidable delays in care, and support shorter lengths of stay. It also supports more consistent documentation and alignment between clinical care and hospital operations, leading to more accurate capture of patients’ severity.

“It’s an honor to support Houston Methodist in advancing an approach that strengthens early identification and proactive patient care,” said Josiah Meyer, Chief Executive Officer and Co-founder of HealthLeap.

HealthLeap and Houston Methodist will track the impact of this approach across both clinical, operational, and financial measures, including length of stay and the consistency of identifying and documenting patients who may benefit from nutrition-related care.

About HealthLeap

HealthLeap is an AI-powered clinical screening platform that surfaces inpatient risks for care teams to act on. The company initially started with addressing malnutrition, a condition estimated to affect up to 50% of hospitalized patients yet formally identified in fewer than 9% today. HealthLeap continuously reviews every adult inpatient throughout hospitalization, prioritizes patients based on nutrition risk, and integrates those insights directly into existing clinical workflows to support earlier assessment and intervention. As the only commercially available peer-reviewed validated platform in this category, HealthLeap operates upstream of traditional clinical decision support and documentation workflows to help health systems identify patients before downstream processes can engage. HealthLeap combines frontier AI with on-the-ground implementation and clinical services to translate risk signals into measurable outcomes. HealthLeap partners with leading health systems to improve patient outcomes and support more sustainable hospital operations. Learn more at https://www.healthleap.ai/.


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 Ai Healthcare
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 Malnutrition


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