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Methods Inf Med 2007; 46(02): 130-134
DOI: 10.1055/s-0038-1625391
Original Article
Schattauer GmbH

“Mobile Nurse” Platform for Ubiquitous Medicine

Z. R. Struzik
1   Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo, Japan
,
K. Yoshiuchi
2   Department of Psychosomatic Medicine, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
,
M. Sone
3   Corporate Research and Development Group, Sharp Corporation, Nara, Japan
,
T. Ishikawa
3   Corporate Research and Development Group, Sharp Corporation, Nara, Japan
,
H. Kikuchi
2   Department of Psychosomatic Medicine, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
,
H. Kumano
2   Department of Psychosomatic Medicine, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
,
T. Watsuji
3   Corporate Research and Development Group, Sharp Corporation, Nara, Japan
,
B. H. Natelson
4   Department of Neurosciences, UMDNJ-New Jersey Medical School, East Orange, NJ, USA
,
Y. Yamamoto
1   Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo, Japan
› Author Affiliations
Further Information

Publication History

Publication Date:
11 January 2018 (online)

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Summary

Objectives : We introduce “Mobile Nurse" (MN) - an emerging platform for the practice of ubiquitous medicine.

Methods : By implementing in a dynamic setting of daily life the patient care traditionally provided by the clinical nurses on duty, MN aims at integral data collection and shortening the response time to the patient. MN is also capable of intelligent interaction with the patient and is able to learn from the patient's behavior and disease sign evaluation for improved personalized treatment.

Results : In this paper, we outline the most essential concepts around the hardware, software and methodological designs of MN. We provide an example of the implementation, and elaborate on the possible future impact on medical practice and biomedical science research.

Conclusions : The main innovation of MN, setting it apart from current tele-medicine systems, is the ability to integrate the patient's signs and symptoms on site, providing medical professionals with powerfultools to elucidate disease mechanisms, to make proper diagnoses and to prescribe treatment.

Keywords

Ubiquitous computing - ecological momentary assessment (EMA) - real-time analysis - wearable sensors - wireless technologies
 

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