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Introducing and Validating a Minimum Data Set and Core Functionalities for Remote Poststroke Home Monitoring: "A
Mahbubeh Rezazadeh1, Azita Yazdani2,3, Amir Ali Ghahremani4
1Student Research Committee, Department of Health Information Management, School of Health Management and Information Sciences Shiraz University of Medical Sciences Shiraz Iran.
Health Science Reports
|January 8, 2026
Summary
This study identified 61 essential data elements for remote patient monitoring systems after stroke. These findings guide the development of effective remote care applications for poststroke patients.
Area of Science:
- Medical Informatics
- Neurology
- Digital Health
Background:
- Stroke is a major global health issue requiring effective post-stroke care.
- Remote patient monitoring (RPM) systems are crucial for managing post-stroke recovery.
- Identifying key data elements is vital for successful RPM system design.
Purpose of the Study:
- To identify and validate essential data elements for RPM systems tailored to post-stroke patients.
- To establish requirements for effective remote monitoring in stroke rehabilitation.
- To support the development of targeted RPM applications for stroke survivors.
Main Methods:
- A three-step approach: literature review, expert panel discussions, and Delphi technique.
- Systematic literature search across major databases (2000-2023) using relevant keywords.
- Validation by 20 neurologists using expert panels and the Delphi method.
Main Results:
- 61 essential data elements were identified and validated.
- Data elements are categorized into demographic information, clinical information, and system functionality.
- Content validity confirmed with CVR 0.89 and CVI 0.97.
Conclusions:
- The study provides a validated set of data elements for RPM in post-stroke care.
- Findings offer guidance for researchers developing RPM applications for stroke patients.
- Essential data elements facilitate the design of effective remote monitoring solutions for stroke survivors.
