 Design and development of a disease-agnostic remote patient monitoring typology and associated toolsIbukun-Oluwa Omolade Abejirinde, Vanessa Kishimoto, Janette Brual, Kaylen J Pfisterer, Nishath Uddin, Taylor Pratt, Cathleen Fleury, Azza Osman and Onil Bhattacharyya PLOS Digital Health, 2026, vol. 5, issue 7, 1-15 Abstract: Remote patient monitoring (RPM) expanded dramatically during the COVID-19 pandemic and continues to be implemented. However, no standardized method for classifying them exists which has implications for comparative evaluations. Our goal was to design and develop a disease-agnostic RPM typology tool as a first step towards a standardized approach for understanding and implementing RPM programs for different clinical use-cases. Guided by the Knowledge-To-Action framework, we conducted a rapid review of RPM programs from Canada, the United States, Europe, the United Kingdom, and Australia that were used to manage diabetes, chronic obstructive pulmonary disease, congestive heart failure, hypertension, and COVID-19. We identified 87 articles to define common characteristics of real-world RPM interventions to enable comparison across different programs through pattern recognition, information mapping, and sensemaking. We extracted data with a macros-enabled Excel template. Design sessions with key stakeholders (researchers, clinical advisors, provincial RPM managers, and patient partners) provided iterative feedback on the typology and we defined a glossary of characteristics. The 12 most reported characteristics of RPM programs (including size, resources, monitoring team, data flow, alert protocol, workflow, and equity considerations) were clustered into four domains. Integration and equity domains were recognised as ideal aspirations of all RPM programs. Technology and touch domains were considered to exist on a spectrum from low-to-high- neither inherently superior to the other. 16 distinct RPM typologies were expressed through a 4x4 matrix (i.e., high or low on each of the four domains). Using this tool can inform insights on program maturity, implementation, and continued investments in RPM. We anticipate this typology will help new initiatives have greater potential to be robustly evaluated and sustained to scale. Future directions include further validity testing and exploring feasibility to systematically categorise real-world RPM programs with this tool.Author summary: Remote patient monitoring programs allow care teams to manage patients from a distance. But understanding how their features and outcomes compare to each other is a challenge because there many different types of such programs. We designed a tool based on 87 research articles and feedback from different people to define 12 core elements of remote monitoring programs divided into 4 categories. Our tool can be used to map different programs, track their implementation features as they evolve, and compare programs like-for-like. This allows us to learn from what works best even when the programs are designed to support different illnesses. Our goal is for this tool to help decision makers better evaluate these programs so they can be more smartly designed to support patients most effectively. It can also help researchers and funding agencies that design or evaluate remote monitoring programs in determining areas that may require additional investments. Date: 2026 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:plo:pdig00:0001595 DOI: 10.1371/journal.pdig.0001595 Access Statistics for this article More articles in PLOS Digital Health from Public Library of Science |
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