AI Health Data Analytics

Health systems have always had the data. Until now they couldn't read it. The work applies machine learning and LLMs to the massive, complicated datasets that hospitals and clinics generate. You'll work with de-identified EHR data to surface population health trends, use AI to stratify patient cohorts by risk and predict disease progression, accelerate clinical trial recruitment by matching patient profiles to eligibility criteria, and produce dashboards that hospital administrators and public health officials can actually act on. The infrastructure side matters just as much: HIPAA-compliant handling, interoperability standards like HL7 FHIR, bias detection across datasets that quietly underrepresent certain populations, and the AI techniques that turn physician notes, discharge summaries, and pathology reports into structured, queryable data.