Exploring The Landscape Of Remote Patient Monitoring Systems In India
This study investigates the adoption and perceptions of Remote Patient Monitoring (RPM) systems within the Indian healthcare landscape, focusing on the perspectives of both pa- tients and healthcare professionals. With a sample comprising 101 patients from diverse age groups and over 70 healthcare professionals, including doctors, nurses, and medical students, the research explores the awareness, usage, and feasibility of RPM systems in India. Data were collected through surveys and interviews, with quantitative analysis employed to sum- marize responses and qualitative analysis to extract recurring themes. The findings highlight the transformative potential of RPM systems in enhancing patient care and improving clinical outcomes, while also identifying significant challenges related to sample size, demographic disparities, and regional variations. Despite these limitations, the study offers valuable insights into the current state of RPM adoption in India, emphasizing the need for cautious interpretation and further research to fully understand the complexities of integrating RPM systems across diverse healthcare settings. This research contributes to the ongoing discourse on the role of RPM in advancing healthcare delivery in India, providing a foundation for future advancements in this critical area. Index Terms—Remote Patient Monitoring (RPM), Healthcare technology in India, Telemedicine adoption, Patient care improve- ment, Clinical outcomes, Healthcare professionals’ perspectives, Healthcare delivery systems, Indian healthcare landscape, RPM system adoption challenges, Demographic disparities in health- care, Qualitative and quantitative analysis in healthcare, Sample size limitations in healthcare research, Cultural and regulatory factors in healthcare, Healthcare infrastructure in India, RPM systems in diverse contexts.
Authors
- Karl J. Friston
Publication Details
- Journal
- IOSR Journal of Dental and Medical Sciences
- Published
- 2024-12-01
- DOI
- https://doi.org/10.9790/0853-2312071215
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00