Data Science and Social Science for In-Depth Evaluation of Remote Patient Monitoring Programs
Previous research by Dr. Stern and Dr. Gorbenkohas highlighted both the promises and challenges of RPM: studies have revealed significant utilization growth and clinical benefits but also increased costs under current reimbursement models and potential for exacerbating existing disparities. This mixed-methods project will link RPM data with Electronic Health Record(EHR) data and qualitative insights to assess cost-effectiveness, care quality, and health outcomes. In collaboration with the Institute for Health Care Delivery Science at Mount Sinai, the project will generate critical evidence to refine RPM practices and policies, ultimately enhancing patient-centered care and health equity.
Project Outline
The planned project will evaluate RPM within the MSHS using detailed data from EHRs (retrieved using AIR·MS), structured surveys (via the ehive), and semi-structured qualitative interviews.
- Phase 1a: (Hypertension) EHR data will be used to look at both clinical outcomes and claims, allowing for a holistic understanding of the value of RPM
- Phase 1b: targeted surveys and semi-structured interviews
- Phase 2: second cardiovascular use case(CHF), then two additional medical specialty areas: oncology and COPD
Project Team
Principal Investigator HPI
Prof. Ariel Dora Stern
Alexander-von-Humboldt Professor
Phone: +4933155094829
Mail: ariel.stern@hpi.de
PhD Researcher
Principal Investigator HPI·MS
