Usability and Interoperability in Wireless Sensor Networks for Patient Telemonitoring in Chronic Disease Management

This paper addresses two key technological barriers to the wider adoption of patient telemonitoring systems for chronic disease management, namely, usability and sensor device interoperability. As a great percentage of chronic patients are elderly patients as well, usability of the system has to be adapted to their needs. This paper identifies (from previous research) a set of design criteria to address these challenges, and describes the resulting system based on a wireless sensor network, and including a node as a custom-made interface that follows usability design criteria stated. This system has been tested with 22 users (mean age 65) and evaluated with a validated usability questionnaire. Results are good and improve those of other systems based on TV or smartphone. Our results suggest that user interfaces alternative to TVs and smartphones could play an important role on the usability of sensor networks for patient monitoring. Regarding interoperability, only very recently a standard has been published (2010, the ISO IEEE 11073 Personal health devices) that can support the needs of limited computational power environments typical of patient monitoring sensor networks.

[1]  G. Paré,et al.  Clinical Effects of Home Telemonitoring in the Context of Diabetes, Asthma, Heart Failure and Hypertension: A Systematic Review , 2010, Journal of medical Internet research.

[2]  E H Wagner,et al.  Improving the quality of health care for chronic conditions , 2004, Quality and Safety in Health Care.

[3]  Enrique J. Gómez,et al.  The INCA System: A Further Step Towards a Telemedical Artificial Pancreas , 2008, IEEE Transactions on Information Technology in Biomedicine.

[4]  Dimitrios I. Fotiadis,et al.  CHRONIOUS: A wearable platform for monitoring and management of patients with chronic disease , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  Paolo Bonato,et al.  Wearable Sensors and Systems , 2010, IEEE Engineering in Medicine and Biology Magazine.

[6]  Ezhan Karasan,et al.  Bluetooth or 802.15.4 technologies to optimise lifetime of wireless sensor networks: Numerical comparison under a common framework , 2008, WiOpt 2008.

[7]  Steven Shea,et al.  The effects of redesigning the IDEATel architecture on glucose uploads. , 2009, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[8]  Alexander G Logan,et al.  Transforming hypertension management using mobile health technology for telemonitoring and self-care support. , 2013, The Canadian journal of cardiology.

[9]  Silvia Jiménez-Fernández,et al.  Telemedicine Experience for Chronic Care in COPD , 2006, IEEE Transactions on Information Technology in Biomedicine.

[10]  Chang-Gun Lee,et al.  PAS: A Wireless-Enabled, Sensor-Integrated Personal Assistance System for Independent and Assisted Living , 2007, 2007 Joint Workshop on High Confidence Medical Devices, Software, and Systems and Medical Device Plug-and-Play Interoperability (HCMDSS-MDPnP 2007).

[11]  Nigel H. Lovell,et al.  Patients' perceptions of a home telecare system , 2008, Int. J. Medical Informatics.

[12]  R. Maestri,et al.  Heart failure case disease management program: A pilot study of home telemonitoring versus usual care , 2004 .

[13]  Alun D. Preece,et al.  Bridging two translation gaps: A new informatics research agenda for telemonitoring of chronic disease , 2011, Int. J. Medical Informatics.

[14]  Jianchu Yao,et al.  A wearable point-of-care system for home use that incorporates plug-and-play and wireless standards , 2005, IEEE Transactions on Information Technology in Biomedicine.

[15]  Silvia Jiménez-Fernández,et al.  Interoperability of a Mobile Health Care Solution with Electronic Healthcare Record Systems , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[16]  Enrique J. Gómez,et al.  Telemedicine as a tool for intensive management of diabetes: the DIABTel experience , 2002, Comput. Methods Programs Biomed..

[17]  Aleksandar Milenkovic,et al.  Wireless sensor networks for personal health monitoring: Issues and an implementation , 2006, Comput. Commun..

[18]  Rong Zhu,et al.  A Wireless Portable System With Microsensors for Monitoring Respiratory Diseases , 2012, IEEE Transactions on Biomedical Engineering.

[19]  George Hripcsak,et al.  Application of Information Technology: Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: Technical Implementation , 2002, J. Am. Medical Informatics Assoc..

[20]  Ennio Gambi,et al.  Technological Approaches to Remote Monitoring of Elderly People in Cardiology: A Usability Perspective , 2012, International journal of telemedicine and applications.

[21]  Ignacio Martínez,et al.  Implementation of an end-to-end standard-based patient monitoring solution , 2008, IET Commun..

[22]  A. Anderson.  Predictors of Computer Anxiety and Performance in Information Systems , 1996 .

[23]  Guy Paré,et al.  Review Paper: Systematic Review of Home Telemonitoring for Chronic Diseases: The Evidence Base , 2007, J. Am. Medical Informatics Assoc..