Full Stack Engineer

Healthleap, a South African startup founded in 2022 by siblings Jemima and Josiah Meyer, has raised $38 million to develop AI software that identifies at-risk hospital patients. The financing includes an $8 million seed round co-led by Sequoia Capital and First Round Capital, and a $30 million Series A led by Hummingbird Ventures. The platform integrates with hospital electronic health record systems, using language models to analyse clinical notes alongside structured data like lab results and vital signs. It screens patients for conditions such as malnutrition and delirium that often go undiagnosed. Healthleap is now deployed in over 50 hospitals, including Penn Medicine, Cedars-Sinai, and Emory Healthcare. Revenue has grown more than 10x over the past year. The company plans to use the funding to expand its engineering, product, sales, and customer success teams.

Healthleap raises $38M to launch AI platform detecting undiagnosed illnesses in patient records. Healthleap has secured funding through two rounds: an $8 million seed round jointly led by Sequoia Capital and First Round Capital, plus a $30 million Series A headed by Hummingbird Ventures. The company's valuation remains undisclosed. Started in South Africa in 2022 by brother and sister Jemima and Josiah Meyer, the company first launched with a clinical nutrition solution that Jemima had originally created for dietitians. As Josiah explained it, patient charts contain two distinct types of information. Structured fields capture labs, weights, and vital signs, but the most revealing details are buried in what clinicians write down: poor appetite, recent weight loss, muscle loss, trouble swallowing. Their emerging method focuses on extracting both affirmative and negated references to these clinical concepts in a way that's easily extensible and scalable. Today, the company's platform operates in over 50 hospitals, where it screens patients for conditions including malnutrition and delirium, according to Josiah. The startup has additionally developed programs targeting aspiration pneumonia, pressure ulcers, and readmission risk for congestive heart failure - programs Josiah says are still undergoing clinical validation. To identify patients who might be at risk or undiagnosed, Healthleap connects to a hospital's electronic health record system and applies language models to extract information from written notes, such as mentions of recent weight loss or difficulty swallowing. That extracted data is then combined with structured inputs like lab reports and vitals inside its risk models to flag patients who may warrant closer attention. The company emphasizes that its software doesn't diagnose anyone - it only surfaces items for further review. Josiah described the daily process this way: every night, the system analyzes every adult inpatient's record, covering lab results, vital signs, weights, medications, diet orders, diagnoses, clinician notes, and more. Every morning, a risk score is written directly into the care team's existing workflow, accompanied by a dashboard containing additional details about patient trends. Malnutrition was a logical entry point for Healthleap, since it frequently goes undiagnosed and can negatively affect patient recovery in numerous ways. Studies indicate that 20% to 50% of hospital inpatients are malnourished, and some research has connected malnutrition to longer stays, impaired wound healing, infections and other complications, along with higher morbidity and mortality. According to Josiah, Healthleap expanded from three hospital partners to more than 50 over the past year, and its customer list now features Penn Medicine, Cedars-Sinai, Intermountain, Houston Methodist and Emory Healthcare. Revenue grew more than 10x during that same period, he said, without providing specific figures. The startup offers three-year contracts priced based on a hospital's licensed bed count, and it also employs an outcome-based pricing model. As Josiah described it, they use the hard ROI that the hospital finance team validates and attributes to them as the measurable ROI. On that basis, they contractually guarantee delivering multiples of the contract price. To date, every customer has achieved a 5x hard ROI or higher, with some exceeding 20x annual total ROI, he said. At the Hospital of the University of Pennsylvania, Healthleap reports that its malnutrition program generated $23.8 million in annualized financial impact - $6.3 million from additional reimbursement and $17.5 million from shorter hospital stays. Healthleap intends to direct the new funding toward engineering, product, sales, and customer success as it builds support for identifying additional conditions. Meyer said the company's long-term goal is to address more than 40 major health conditions and extend into outpatient and home care.

Houston Methodist partners with HealthLeap to launch ai-driven clinical screening platform. What you should know. * Clinical AI startup HealthLeap has announced the systemwide deployment of its AI-driven clinical screening platform across Houston Methodist. * The rollout addresses a pervasive, invisible clinical liability: while up to 50% of hospitalized patients are at risk for inadequate nutrition, fewer than 9% are formally diagnosed nationwide due to static screening tools. * Moving past rigid admission-day questionnaires, HealthLeap continuously analyzes 100% of adult inpatient charts daily, scraping clinical notes, lab results, vitals, active medication orders, and problem lists. * The platform functions natively within existing workflows, automatically pushing prioritized, actionable risk scores and alerts directly to care teams to accelerate targeted clinical intervention. * The enterprise-wide collaboration will track immediate clinical, operational, and financial outcomes, heavily measuring improvements in patient length of stay and documentation accuracy. Why Houston Methodist deployed HealthLeap systemwide. The inpatient care and clinical operations frameworks across the American hospital landscape are wrestling with a pervasive, yet deeply under-recognized challenge: disease-related malnutrition. While healthcare organizations have spent the last decade digitizing workflows and building data infrastructures, clinical protocols for identifying metabolic and nutritional decline have remained fundamentally static. The current baseline relies heavily on manual assessments and uncalibrated, admission-day questionnaires filled out by overextended nursing staff. Because these administrative checkpoints are entirely static, they fail to capture patients whose physiological baselines deteriorate over the course of a complex hospital stay. The statistical reality of this documentation and screening deficit is stark. National data highlights that although 30% to 50% of hospitalized inpatients are actively at risk for inadequate nutrition, only about 9% are formally diagnosed during their hospitalization. When these high-acuity risks go entirely unrecorded, it triggers a costly cascade of clinical and operational liabilities. Unmanaged nutritional deficits delay standard wound healing, compromise immune resilience, accelerate muscle wasting, and lengthen overall hospital stays. For hospital C-suites navigating thin operating margins and tightening value-based care penalties, closing this gap requires moving past traditional clinical decision alerts to deploy an automated, continuous safety net that turns unstructured chart data into immediate diagnostic action. To eliminate this systemic blind spot, clinical AI pioneer HealthLeap has announced the systemwide deployment of its AI-driven clinical screening platform across Houston Methodist's entire enterprise network. By embedding a machine-learning safety net directly inside existing workflows, the partnership aims to screen 100% of inpatients from admission through discharge, ensuring at-risk individuals are flagged long before acute complications manifest. Operating upstream: the mechanics of continuous risk Ingestion. The core technology strategy driving HealthLeap rejects the transaction-heavy approach of standalone administrative chat applications or basic alert triggers. Instead, the platform functions as an integrated, chart-aware system of record that operates entirely in the background of the Electronic Health Record (EHR) system. Rather than requiring a clinician to launch an external portal or manually query a separate application, the platform surfaces data natively where care teams already work. The platform's cloud-native clinical intelligence model continuously analyzes multi-vector data fields across every single adult chart: * Deep Semantic Ingestion: The AI sweeps through unstructured clinical text notes, longitudinal laboratory results, fluctuating vitals, active medication and dietary orders, and changing problem lists. * Real-Time Risk Ranking: As physiological variables drift, the platform evaluates the complete picture of patient risk over time, risk-ranking patients based on the urgency of required nutrition intervention. * Actionable Workflow Pushes: Programmatic, optimized risk scores and prioritization alerts are injected directly into the native EHR workspace, equipping dietitians and physicians to stabilize high-risk cohorts sooner. "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." Aligning clinical quality with operational defensibility. The commercial rationale driving HealthLeap's systemwide adoption extends beyond direct clinical quality into enterprise financial sustainability. In a margin-compressed healthcare economy, ensuring that documentation accurately reflects a patient's true severity of illness (SOI) is an absolute operational priority. By continuously analyzing the full clinical picture, HealthLeap supports consistent chart documentation, aligning frontline care with backend hospital coding. This eliminates gaps in severity tracking, optimizes reimbursement accuracy for complex care, and provides an immediate defense against retroactive payer claims denials. As the only commercially available, peer-reviewed validated platform in this category, HealthLeap has carved out a defensive clinical niche. The company operates upstream of traditional point solutions, identifying vulnerabilities before standard administrative or documentation processes fail. Josiah Meyer, Chief Executive Officer and Co-founder of HealthLeap, highlighted the prestige of the collaboration, noting that the enterprise rollout provides deep market validation for startups focused on transforming invisible clinical risks into measurable operational and outcomes-driven wins. Moving forward, HealthLeap and Houston Methodist are tracking the long-term impact of the deployment across a strict matrix of clinical, operational, and financial KPIs, focusing heavily on reducing length of stay and maximizing screening consistency.