Perceived Usefulness and Ease of Use of Wearable Sensor-Based Systems in Emergency Departments

OCCUPATIONAL APPLICATIONS Patients and nurses had positive reactions with respect to perceived usefulness and ease of use of a wireless wearable sensor-based system in two emergency departments. Results showed that patients' perceptions on the ease of use of the technology were more favorable and less variable than nurses' perception. The results are encouraging for the implementation of such technology in emergency department settings as they seem to promote the use of the technology for continuous monitoring of vital signs. TECHNICAL ABSTRACT Background: The use of wearable sensor-based systems in healthcare settings has been proposed and implemented in previous studies. While their application seems promising, the perceived usefulness and ease of use of such systems have not been assessed in detail in emergency departments. User feedback is critical as it can determine the attitude toward using the technology and ultimately predict its success. Purpose: This article presents an empirical pilot study in which the perceived usefulness and ease of use of a wireless wearable sensor-based system was assessed from the perspective of patients and nurses in emergency departments. The wireless wearable sensors were used to monitor patients' heart rate, respiration rate, temperature, oxygen level, and blood pressure. Methods: The study was conducted in two clinical settings; a total of 40 patients and 20 nurses participated in the study. After a 30-minute use and testing period, patients provided feedback through a survey. Similarly, nurses were asked to provide their feedback after their experience with four patients. Results: Participants reported that the wearable sensor-based technology was very useful and easy to use. Results also showed that mean scores for perceived usefulness and ease of use were higher for patients. Conclusions: Overall, patients and nurses had positive reactions with respect to perceived usefulness and ease of use, which is encouraging for the implementation of such technology in emergency department settings. Although it is not possible to directly predict or infer the degree of acceptability, the results of this study provide a sense of how the prospective users would feel about the usefulness of continuous monitoring as well as the ease of use of the monitoring devices.

[1]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[2]  R. Wears,et al.  Emergency department patient-tracking system evaluation , 2011 .

[3]  Douglas A. Palmer,et al.  An 802.11 Wireless Blood Pulse-Oximetry System for Medical Response to Disasters , 2005, AMIA.

[4]  Kwasi Amoako-Gyampah,et al.  Perceived usefulness, user involvement and behavioral intention: an empirical study of ERP implementation , 2007, Comput. Hum. Behav..

[5]  S. Miodownik,et al.  Application of RFID in an Integrated Healthcare Environment , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  Enrique Bonsón,et al.  Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents , 2015 .

[7]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[8]  H. Nazeran,et al.  A Web-based vital sign telemonitor and recorder for telemedicine applications , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  Douglas A. Palmer,et al.  An Intelligent 802.11 Triage Tag For Medical Response to Disasters , 2005, AMIA.

[10]  M. Welsh,et al.  Vital Signs Monitoring and Patient Tracking Over a Wireless Network , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[11]  V. C. Padaki,et al.  Smart Vest: wearable multi-parameter remote physiological monitoring system. , 2008, Medical engineering & physics.

[12]  William J. Tharion,et al.  Acceptability and Usability of an Ambulatory Health Monitoring System for Use by Military Personnel , 2013 .

[13]  W. Michalowski,et al.  Expanding usability analysis with intrinsic motivation concepts to learn about CDSS adoption: a case study , 2014 .

[14]  Y. Sankai,et al.  Development of a Portable Vital Sensing System for Home Telemedicine , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  H. Raghav Rao,et al.  A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents , 2008, Decis. Support Syst..

[16]  Prodromos D. Chatzoglou,et al.  Using a modified technology acceptance model in hospitals , 2009, Int. J. Medical Informatics.

[17]  Ronald C Merrell,et al.  Integration of information technology, wireless networks, and personal digital assistants for triage and casualty. , 2006, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[18]  Wenxi Chen,et al.  A mobile phone-based wearable vital signs monitoring system , 2005, The Fifth International Conference on Computer and Information Technology (CIT'05).

[19]  Pi-Jung Hsieh,et al.  Physicians' acceptance of electronic medical records exchange: An extension of the decomposed TPB model with institutional trust and perceived risk , 2015, Int. J. Medical Informatics.

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

[21]  Tino Fenech,et al.  Using Perceived Ease of Use and Perceived Usefulness to Predict Acceptance of the World Wide Web , 1998, Comput. Networks.

[22]  K. Preston White,et al.  Using RFID Technologies to Capture Simulation Data in a Hospital Emergency Department , 2006, Proceedings of the 2006 Winter Simulation Conference.

[23]  A. Mcgregor,et al.  Body-Worn Sensor Design: What Do Patients and Clinicians Want? , 2011, Annals of Biomedical Engineering.

[24]  William G. Griswold,et al.  A Wireless First Responder Handheld Device for Rapid Triage, Patient Assessment and Documentation during Mass Casualty Incidents , 2006, AMIA.

[25]  Andrew Georgiou,et al.  Perceptions of the effect of information and communication technology on the quality of care delivered in emergency departments: a cross-site qualitative study. , 2013, Annals of emergency medicine.

[26]  Warren J. Winkelman,et al.  Research Paper: Patient-Perceived Usefulness of Online Electronic Medical Records: Employing Grounded Theory in the Development of Information and Communication Technologies for Use by Patients Living with Chronic Illness , 2005, J. Am. Medical Informatics Assoc..

[27]  Andris Freivalds,et al.  A dynamic multi-attribute utility theory–based decision support system for patient prioritization in the emergency department , 2014 .

[28]  Fred D. Davis.  User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[29]  Darren George,et al.  SPSS for Windows Step by Step: A Simple Guide and Reference , 1998 .

[30]  J. Gliem,et al.  Calculating, Interpreting, And Reporting Cronbach’s Alpha Reliability Coefficient For Likert-Type Scales , 2003 .

[31]  Suzanne Wendelken,et al.  ARTEMIS : A Vision for Remote Triage and Emergency Management Information Integration , 2003 .

[32]  Nikolaos G. Bourbakis,et al.  A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[33]  Robert A. Greenes,et al.  SMART--an integrated wireless system for monitoring unattended patients. , 2008, Journal of the American Medical Informatics Association : JAMIA.