A research group led by Keita Fukuyama at the Division of Medical Information Technology and Administration Planning, Kyoto University Hospital, has published a new study in “Scientific Reports”.
The study presents a quantitative evaluation of an integrated real-time monitoring and localization system for ambulatory patients, utilizing off-the-shelf smartwatches and smartphones in a real hospital environment.
Article URL: https://www.nature.com/articles/s41598-026-43212-5
Background
Continuous monitoring of patients in hospitals traditionally requires them to remain in designated beds or wards, which restricts their mobility. Meanwhile, monitoring for ambulatory patients who can walk freely but still carry a risk of sudden medical emergencies remains a challenge. Although consumer-grade wearable devices have improved significantly, there has been a lack of quantitative data regarding their accuracy and reliability in detecting anomalies within the complex environment of an actual hospital.
Methods and findings
The research team developed a system combining smartwatches and smartphones to continuously monitor heart rates and indoor locations, automatically alerting medical staff when predefined thresholds were met. Tests conducted with 10 healthy volunteers at Kyoto University Hospital revealed the following performance metrics:
- Detection Delay: Compared to medical-grade electrocardiograms (ECG), the consumer smartwatch system showed a median delay of 3 minutes and 49 seconds in detecting and notifying staff of tachycardia.
- Localization Accuracy: Smartphone-based indoor positioning demonstrated a median horizontal error of 6.5 meters and a systematic altitude error of approximately 40 meters, indicating challenges in precise floor-level identification.
- Staff Response Time: The time required for medical staff to reach a patient after receiving an alert increased by 0.78 seconds per meter of distance.
Future outlook
This study is significant as it transparently quantifies the current limitations of consumer devices, such as processing delays and positioning errors, compared to medical-grade equipment. Despite these limitations, the results indicate the feasibility of building low-cost monitoring systems that do not restrict patient movement. The foundational data obtained—including exact detection delays, localization errors, and required sample sizes for future trials—will serve as crucial benchmarks for developing next-generation patient safety solutions and “smart hospital” initiatives.
publication Details
Title: Evaluation of Off-the-Shelf Wearable for Ambulatory Clinical Event Monitoring and Patient Localization in Hospital Settings
Authors: Keita Fukuyama, Ryo Sakamoto, Koji Fujimoto, Motoo Nomura, Koichiro Kamada, Yuji Nakamoto, and Tomohiko Kuroda
Journal: Scientific Reports
