Opinion Paper: Smartwatches in Healthcare: Revolutionizing Health or Creating Data Confusion?

Smartwatches have gained significant attention for their role in advancing digital health interventions and enhancing wellbeing. These modern technologies have the potential to revolutionize patient care by making healthcare more accessible and personalized. By promoting preventive care, shifting services from hospitals to communities, and transitioning from analog to digital healthcare systems, smartwatches can help individuals stay healthier and reduce hospital visits. A key aspect of this transformation is the integration of smartwatch data into a unified patient record, ensuring comprehensive access to health information. However, with over 20 smartwatch manufacturers, offering multiple models with diverse health-monitoring capabilities, critical questions arise: What data is collected? How is it stored? Should any of it be integrated into medical records? Beyond the risks of data misuse for financial purposes, persistent challenges include ensuring accuracy, reliability, and standardization. A recent IFCC best practice publication on incorporating patient-generated health data into Electronic Health Records (EHRs) [1] highlights essential questions that must be addressed before smartwatch data can contribute meaningfully to healthcare. This paper explores these issues, weighing the potential benefits of smartwatches against the complexities of data integration and management.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2026-02-01
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Opinion Paper: Smartwatches in Healthcare: Revolutionizing Health or Creating Data Confusion?

Jani Rytkönen, Alistair Gammie, Anirban Ganguly, Ram Vinod Mahato et al.
PubMed
Mobile Health and mHealth Applications
article

Opinion Paper: Smartwatches in Healthcare: Revolutionizing Health or Creating Data Confusion?

Jani Rytkönen, Alistair Gammie, Anirban Ganguly, Ram Vinod Mahato, James H. Nichols, Evgenija Homšak, Ebru Saatçi, Pradeep Kumar Dabla, Zihni Onur Uygun, Irena Korita, K Kotani, Ola Egaddar, Royronald O Ogong'a, Bernard Gouget, Juergen Becker, Sanja Stankovic, Laila AbdelWareth
article en

Abstract

Smartwatches have gained significant attention for their role in advancing digital health interventions and enhancing wellbeing. These modern technologies have the potential to revolutionize patient care by making healthcare more accessible and personalized. By promoting preventive care, shifting services from hospitals to communities, and transitioning from analog to digital healthcare systems, smartwatches can help individuals stay healthier and reduce hospital visits. A key aspect of this transformation is the integration of smartwatch data into a unified patient record, ensuring comprehensive access to health information. However, with over 20 smartwatch manufacturers, offering multiple models with diverse health-monitoring capabilities, critical questions arise: What data is collected? How is it stored? Should any of it be integrated into medical records? Beyond the risks of data misuse for financial purposes, persistent challenges include ensuring accuracy, reliability, and standardization. A recent IFCC best practice publication on incorporating patient-generated health data into Electronic Health Records (EHRs) [1] highlights essential questions that must be addressed before smartwatch data can contribute meaningfully to healthcare. This paper explores these issues, weighing the potential benefits of smartwatches against the complexities of data integration and management.

PubMedVol. 37(1)
University of Medicine Tirana (AL), Kafkas University (TR), University of Kragujevac (RS), Jichi Medical University (JP), Tribhuvan University (NP), Maseno University (KE), Center for Health, Exercise and Sport Sciences (RS), Ministère des Solidarités et de la Santé (FR), Laboratoire National de Référence (MA), NordLab (FI), University Clinical Centre Maribor (SI), Quidel Corporation (United States) (US), Govind Ballabh Pant Hospital (IN), All India Institute of Medical Sciences, Deoghar (IN), Alexandria University (EG), Erciyes University (TR), Vanderbilt University Medical Center (US)
Openalex Percentile: Top 65%
Mobile Health and mHealth Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.