Literature DB >> 27185506

A personalized mobile patient guide system for a patient-centered smart hospital: Lessons learned from a usability test and satisfaction survey in a tertiary university hospital.

Sooyoung Yoo1, Se Young Jung2, Seok Kim1, Eunhye Kim1, Kee-Hyuck Lee3, Eunja Chung4, Hee Hwang5.   

Abstract

OBJECTIVE: The present study focused on the design, implementation, and evaluation of a personalized mobile patient guide system that utilizes smart phones, indoor navigation technology and a hospital information system (HIS) to address the difficulties that outpatients face in finding hospital facilities, recognizing their daily treatment schedule, and accessing personalized medical and administrative information.
MATERIALS AND METHODS: The present study was conducted in a fully digitized tertiary university hospital in South Korea. We developed a real-time location-based outpatient guide system that consists of Bluetooth access points (APs) for indoor navigation, an Android-based guide application, a guide server, and interfaces with the HIS. A total of 33 subjects and 43 outpatients participated in the usability test (UT) and the satisfaction survey, respectively.
RESULTS: We confirmed that the indoor navigation feature can be applied to outpatient departments with precision using a position error test. The participants in the UT completed each scenario with an average success rate of 67.4%. According to the results, we addressed the problems and made improvements to the user interface by providing users with context-based guidance information. The satisfaction rating of the system was high, with an average score of 4.0 out of 5.0, showing its utility as a patient-centered hospital service.
CONCLUSION: The innovative mobile patient guide system for outpatients is feasible and can be successfully implemented to provide personalized information with high satisfaction. Additionally, the issues identified and lessons learned from our experiences regarding task scheduling, indoor navigation, and usability should be considered when developing the system.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Evaluation; Indoor navigation; Patient satisfaction; Personalized patient guide; Usability test

Mesh:

Year:  2016        PMID: 27185506     DOI: 10.1016/j.ijmedinf.2016.04.003

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  6 in total

1.  Why aren't they happy? An analysis of end-user satisfaction with Electronic health records.

Authors:  Prasad Unni; Catherine Staes; Howard Weeks; Heidi Kramer; Damion Borbolla; Stacey Slager; Teresa Taft; Valliammai Chidambaram; Charlene Weir
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

2.  The Association between mHealth App Use and Healthcare Satisfaction among Clients at Outpatient Clinics: A Cross-Sectional Study in Inner Mongolia, China.

Authors:  Li Cao; Virasakdi Chongsuvivatwong; Edward B McNeil
Journal:  Int J Environ Res Public Health       Date:  2022-06-05       Impact factor: 4.614

3.  Perspectives of Patients, Health Care Professionals, and Developers Toward Blockchain-Based Health Information Exchange: Qualitative Study.

Authors:  Keehyuck Lee; Kahyun Lim; Se Young Jung; Hyerim Ji; Kyungpyo Hong; Hee Hwang; Ho-Young Lee
Journal:  J Med Internet Res       Date:  2020-11-13       Impact factor: 5.428

4.  Usability Testing of a Patient-Centered Mobile Health App for Supporting and Guiding the Pediatric Emergency Department Patient Journey: Mixed Methods Study.

Authors:  Jessica Rochat; Frédéric Ehrler; Johan N Siebert; Arnaud Ricci; Victor Garretas Ruiz; Christian Lovis
Journal:  JMIR Pediatr Parent       Date:  2022-03-15

5.  Design and Evaluation of a Smartphone Medical Guidance App for Outpatients of Large-Scale Medical Institutions: Retrospective Observational Study.

Authors:  Kei Teramoto; Shigeki Kuwata
Journal:  JMIR Form Res       Date:  2022-04-21

6.  Real-time location system-based asset tracking in the healthcare field: lessons learned from a feasibility study.

Authors:  Sooyoung Yoo; Seok Kim; Eunhye Kim; Eunja Jung; Kee-Hyuck Lee; Hee Hwang
Journal:  BMC Med Inform Decis Mak       Date:  2018-09-10       Impact factor: 2.796

  6 in total

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