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Design of a phone-based clinical decision support system for resource-limited settings

Published: 12 March 2012 Publication History

Abstract

While previous work has shown that clinical decision support systems (CDSS) improve patient care in resource-limited settings, there is little access to such systems at the point of care. Moreover, even when CDSS are available, compliance with care suggestions remain low. In this paper, we use a multi-method approach to document four failure modes that can affect CDSS implementations. Building from six iteratively derived design principles, we describe a phone-based system designed to address these failure modes. Through a formal usability evaluation, we discover six core findings that are important for implementers of mobile systems for health care providers in resource-limited settings.

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Cited By

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  • (2023)Using mHealth technologies for case finding in Tuberculosis and other infectious diseases in Africa: A systematic review (Preprint)JMIR mHealth and uHealth10.2196/53211Online publication date: 3-Oct-2023
  • (2023)Patient Information Summarization in Clinical Settings: Scoping ReviewJMIR Medical Informatics10.2196/4463911(e44639)Online publication date: 28-Nov-2023
  • (2022)The Promise of Clinical Decision Support Systems Targetting Low-Resource SettingsIEEE Reviews in Biomedical Engineering10.1109/RBME.2020.301786815(354-371)Online publication date: 2022
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      cover image ACM Other conferences
      ICTD '12: Proceedings of the Fifth International Conference on Information and Communication Technologies and Development
      March 2012
      374 pages
      ISBN:9781450310451
      DOI:10.1145/2160673
      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 ACM 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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      Published: 12 March 2012

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      Author Tags

      1. clinical decision support
      2. electronic medical health record
      3. mHealth
      4. mobile phones
      5. reminders
      6. summaries

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      • (2023)Patient Information Summarization in Clinical Settings: Scoping ReviewJMIR Medical Informatics10.2196/4463911(e44639)Online publication date: 28-Nov-2023
      • (2022)The Promise of Clinical Decision Support Systems Targetting Low-Resource SettingsIEEE Reviews in Biomedical Engineering10.1109/RBME.2020.301786815(354-371)Online publication date: 2022
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