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Mobility Patterns of Doctors Using Electronic Health Records on iPads

Authors:

Meng-Hsiu Chang,

Lih-ching Chou,

Jackey WangAuthors Info & Claims

BCB'13: Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics

Pages 933 - 939

https://doi.org/10.1145/2506583.2512366

Published: 22 September 2013 Publication History

Abstract

Before Electronic Health Records (EHRs) were available on touch-panel tablets, doctors were confined to accessing the records on their hospital's computer stations, in their offices or at nurse stations. We deployed Dr. Pad, a mobile EHR application on the iPad, to resident doctors at the Taipei Veterans General Hospital in Taipei, Taiwan. We are able to extract direct usage and motion data from a large-scale in-the-wild use of a mobile EHR by 179 resident doctors over 4 weeks. Using machine-learning techniques, we can predict the doctors' mobile behaviors while using Dr. Pad, which were previously unobserved and mainly self-reported. Our data revealed trends in the doctors' use of the mobile EHR, which supported claims by doctors on their usage habits, our observations of their work routines, and even showed that the doctors used Dr. Pad more frequently than we had expected.

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Cited By

Ehrler FLovis CBlondon K(2019)A Mobile Phone App for Bedside Nursing Care: Design and Development Using an Adapted Software Development Life Cycle ModelJMIR mHealth and uHealth10.2196/125517:4(e12551)Online publication date: 11-Apr-2019
https://doi.org/10.2196/12551
Müller HGove JWebb JCheang A(2015)Understanding and Comparing Smartphone and Tablet UseProceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction10.1145/2838739.2838748(427-436)Online publication date: 7-Dec-2015
https://dl.acm.org/doi/10.1145/2838739.2838748

Index Terms

Mobility Patterns of Doctors Using Electronic Health Records on iPads
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems

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cover image ACM Conferences

BCB'13: Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics

September 2013

987 pages

ISBN:9781450324342

DOI:10.1145/2506583

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGBio: ACM Special Interest Group on Bioinformatics

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 September 2013

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BCB'13: ACM-BCB2013

September 22 - 25, 2013

Wshington DC, USA

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BCB'13 Paper Acceptance Rate 43 of 148 submissions, 29%;

Overall Acceptance Rate 254 of 885 submissions, 29%

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Cited By

Ehrler FLovis CBlondon K(2019)A Mobile Phone App for Bedside Nursing Care: Design and Development Using an Adapted Software Development Life Cycle ModelJMIR mHealth and uHealth10.2196/125517:4(e12551)Online publication date: 11-Apr-2019
https://doi.org/10.2196/12551
Müller HGove JWebb JCheang A(2015)Understanding and Comparing Smartphone and Tablet UseProceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction10.1145/2838739.2838748(427-436)Online publication date: 7-Dec-2015
https://dl.acm.org/doi/10.1145/2838739.2838748

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