Program cost and return on investment analysis of remote patient monitoring for hypertension management in the cardiology department of a large healthcare system
Abstract
ObjectivesRemote patient monitoring (RPM), combining home blood pressure measurements with telehealth services, effectively manages hypertension. Successful implementation of RPM programs at scale requires understanding program costs and financial sustainability. We evaluated the financial performance of an RPM program.MethodsConducted from March to June 2024 in the Cardiology Division at New York University Langone Health, the study used field observation, surveys, and micro-costing methods. A costing tool was developed to quantify program costs in 2024 US dollars, including personnel, equipment, and supplies. RPM-related services reimbursement rates were estimated using Medicare billing information. The return-on-investment (ROI) ratio was calculated by dividing net return (profit) by the RPM program costs. Sensitivity analyses assessed the impact of varying parameters on the ROI of RPM.ResultsThe average RPM program cost was estimated at $330 per patient (range: $208-$452). Major expenses included data review by staff ($172 per patient), blood pressure devices ($48 per patient), and phone communications ($36 per patient). ROI varied based on patient compliance with home blood pressure monitoring (≥16 days per month), with an average estimate of 22.2% (range: -11.1%-93.3%) per patient at a 55% compliance rate. The ROI was most sensitive to changes in data-review costs, insurance reimbursement rates, patient compliance, device setup, and communication costs.ConclusionsThe RPM program achieved a positive ROI from the perspective of a clinical division in a large healthcare system. Successful implementation and financial sustainability of RPM require efforts to reduce human resource costs and enhance patient engagement.
Fields of Study & Subjects
Telemedicine and Telehealth Implementation
Health Systems
Economic Evaluations
Quality of Life
Mobile Health and mHealth Applications
Publication details
- Journal / source
- Journal of Telemedicine and Telecare
- Volume
- 32
- Issue
- 8
- Pages
- 669–678
- Publication date
- 19 January 2026
- Language
- EN