The Effectiveness of Near-Field Communication Integrated with a Mobile Electronic Medical Record System: Emergency Department Simulation Study

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Abstract

Background

Improved medical practice efficiency has been demonstrated by physicians using mobile device (mobile phones, tablets) electronic medical record (EMR) systems. However, the quantitative effects of these systems have not been adequately measured.

Objective

This study aimed to determine the effectiveness of near-field communication (NFC) integrated with a mobile EMR system regarding physician turnaround time in a hospital emergency department (ED).

Methods

A simulation study was performed in a hospital ED. Twenty-five physicians working in the ED participated in 2 scenarios, using either a mobile device or personal computer (PC). Scenario A involved randomly locating designated patients in the ED. Scenario B consisted of accessing laboratory results of an ED patient at the bedside. After completing the scenarios, participants responded to 10 questions that were scored using a system usability scale (SUS). The primary metric was the turnaround time for each scenario. The secondary metric was the usability of the system, graded by the study participants.

Results

Locating patients from the ED entrance took a mean of 93.0 seconds (SD 34.4) using the mobile scenario. In contrast, it only required a mean of 57.3 seconds (SD 10.5) using the PC scenario ( P<.001). Searching for laboratory results of the patients at the bedside required a mean of only 25.2 seconds (SD 5.3) with the mobile scenario, and a mean of 61.5 seconds (SD 11.6) using the PC scenario ( P<.001). Sensitivity analysis comparing only the time for login and accessing the relevant information also determined mobile devices to be significantly faster. The mean SUS score of NFC-mobile EMR was 71.90 points.

Conclusions

NFC integrated with mobile EMR provided for a more efficient physician practice with good usability.

Related collections

Most cited references 24

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The effectiveness of M-health technologies for improving health and health services: a systematic review protocol

Caroline Free, Gemma Phillips, Lambert Felix … (2010)

Background The application of mobile computing and communication technology is rapidly expanding in the fields of health care and public health. This systematic review will summarise the evidence for the effectiveness of mobile technology interventions for improving health and health service outcomes (M-health) around the world. Findings To be included in the review interventions must aim to improve or promote health or health service use and quality, employing any mobile computing and communication technology. This includes: (1) interventions designed to improve diagnosis, investigation, treatment, monitoring and management of disease; (2) interventions to deliver treatment or disease management programmes to patients, health promotion interventions, and interventions designed to improve treatment compliance; and (3) interventions to improve health care processes e.g. appointment attendance, result notification, vaccination reminders. A comprehensive, electronic search strategy will be used to identify controlled studies, published since 1990, and indexed in MEDLINE, EMBASE, PsycINFO, Global Health, Web of Science, the Cochrane Library, or the UK NHS Health Technology Assessment database. The search strategy will include terms (and synonyms) for the following mobile electronic devices (MEDs) and a range of compatible media: mobile phone; personal digital assistant (PDA); handheld computer (e.g. tablet PC); PDA phone (e.g. BlackBerry, Palm Pilot); Smartphone; enterprise digital assistant; portable media player (i.e. MP3 or MP4 player); handheld video game console. No terms for health or health service outcomes will be included, to ensure that all applications of mobile technology in public health and health services are identified. Bibliographies of primary studies and review articles meeting the inclusion criteria will be searched manually to identify further eligible studies. Data on objective and self-reported outcomes and study quality will be independently extracted by two review authors. Where there are sufficient numbers of similar interventions, we will calculate and report pooled risk ratios or standardised mean differences using meta-analysis. Discussion This systematic review will provide recommendations on the use of mobile computing and communication technology in health care and public health and will guide future work on intervention development and primary research in this field.

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Usability Evaluation In Industry

Patrick W. Jordan (2014)

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Doctors' experience with handheld computers in clinical practice: qualitative study.

Mitchell Medow, Sharon Schweikhart, Ann Scheck McAlearney (2004)

To examine doctors' perspectives about their experiences with handheld computers in clinical practice. Qualitative study of eight focus groups consisting of doctors with diverse training and practice patterns. Six practice settings across the United States and two additional focus group sessions held at a national meeting of general internists. 54 doctors who did or did not use handheld computers. Doctors who used handheld computers in clinical practice seemed generally satisfied with them and reported diverse patterns of use. Users perceived that the devices helped them increase productivity and improve patient care. Barriers to use concerned the device itself and personal and perceptual constraints, with perceptual factors such as comfort with technology, preference for paper, and the impression that the devices are not easy to use somewhat difficult to overcome. Participants suggested that organisations can help promote handheld computers by providing advice on purchase, usage, training, and user support. Participants expressed concern about reliability and security of the device but were particularly concerned about dependency on the device and over-reliance as a substitute for clinical thinking. Doctors expect handheld computers to become more useful, and most seem interested in leveraging (getting the most value from) their use. Key opportunities with handheld computers included their use as a stepping stone to build doctors' comfort with other information technology and ehealth initiatives and providing point of care support that helps improve patient care.

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Author and article information

Contributors

Won Chul Cha:

Department of Emergency MedicineSamsung Medical CenterSungkyunkwan University School of Medicine81, Irwon-roGangnam-guSeoul, 06351Republic Of Korea82 105386659782 221487899docchaster@gmail.com

ORCID: http://orcid.org/0000-0002-2778-2992

Journal

Journal ID (nlm-ta): JMIR Mhealth Uhealth

Journal ID (iso-abbrev): JMIR Mhealth Uhealth

Journal ID (publisher-id): JMU

Title: JMIR mHealth and uHealth

Publisher: JMIR Publications (Toronto, Canada )

ISSN (Electronic): 2291-5222

Publication date Collection: September 2018

Publication date (Electronic): 21 September 2018

Volume: 6

Issue: 9

Electronic Location Identifier: e11187

Affiliations

[1 ] Department of Emergency Medicine Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic Of Korea

[2 ] Department of Computer Engineering Seoul Digital University Seoul Republic Of Korea

[3 ] Department of Information Strategy Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic Of Korea

[4 ] Department of Digital Health Samsung Advanced Institute for Health Sciences & Technology Sungkyunkwan University Seoul Republic Of Korea

Author notes

Corresponding Author: Won Chul Cha docchaster@ 123456gmail.com

Author information

Kwang Yul Jung http://orcid.org/0000-0001-5688-2581

Taerim Kim http://orcid.org/0000-0002-8149-1205

Jaegon Jung http://orcid.org/0000-0003-2514-6498

JeanHyoung Lee http://orcid.org/0000-0002-1011-5368

Jong Soo Choi http://orcid.org/0000-0003-3108-406X

Kang Mira http://orcid.org/0000-0002-7842-0035

Dong Kyung Chang http://orcid.org/0000-0001-8925-4629

Won Chul Cha http://orcid.org/0000-0002-2778-2992

Article

Publisher ID: v6i9e11187

DOI: 10.2196/11187

PMC ID: 6231820

PubMed ID: 30249577

SO-VID: ff1eb6d6-3cd7-4f98-9d13-01e3574629f3

Copyright © ©Kwang Yul Jung, Taerim Kim, Jaegon Jung, JeanHyoung Lee, Jong Soo Choi, Kang Mira, Dong Kyung Chang, Won Chul Cha. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 21.09.2018.

License:

This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/.as well as this copyright and license information must be included.

History

Date received : 31 May 2018

Date revision requested : 9 July 2018

Date revision received : 31 July 2018

Date accepted : 31 August 2018

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