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C4G BLIS: Health Care Delivery via Iterative Collaborative Design in Resource-constrained Settings

Published: 03 June 2016 Publication History

Abstract

Health care delivery in resource-constrained settings presents many challenges, including highly diverse workflows, lack of standardization in data collection and reporting, and scarcity along many dimensions such as infrastructure, income and education. Many attempts to introduce state-of-the-art standardized systems for electronic record keeping have met with limited success in these settings. We present the design, implementation and evaluation of C4G BLIS, a system that tracks patients, laboratory samples, test results, and generates customized reports and trends for patients, physicians and health officials. The system was designed and deployed based on two major principles: (1) an Iterative Cooperative Design (ICD) methodology (2) immediate and continuous benefits for day-to-day users of the system. C4G BLIS is currently in use in many large hospital laboratories in Africa, and we report on the experience and results from these deployments, including improved turn-around times, reduced error rates and user satisfaction.

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  • (2021)Exploring the Equity Impact of Current Digital Health Design Practices: A Scoping Review Protocol (Preprint)JMIR Research Protocols10.2196/34013Online publication date: 6-Oct-2021
  • (2021)Laboratory informatics capacity for effective antimicrobial resistance surveillance in resource-limited settingsThe Lancet Infectious Diseases10.1016/S1473-3099(20)30835-521:6(e170-e174)Online publication date: Jun-2021
  • (2020)On Being Iterated: The Affective Demands of Design ParticipationProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376545(1-11)Online publication date: 21-Apr-2020
  • Show More Cited By

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cover image ACM Other conferences
ICTD '16: Proceedings of the Eighth International Conference on Information and Communication Technologies and Development
June 2016
427 pages
ISBN:9781450343060
DOI:10.1145/2909609
© 2016 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the United States Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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  • Google Inc.
  • Microsoft: Microsoft
  • University of Michigan: University of Michigan

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New York, NY, United States

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Published: 03 June 2016

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Author Tags

  1. Customizable
  2. Developing nations
  3. Health Care
  4. Hospital Laboratory
  5. ICTD
  6. Zero-training

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  • Refereed limited

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ICTD '16

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Cited By

View all
  • (2021)Exploring the Equity Impact of Current Digital Health Design Practices: A Scoping Review Protocol (Preprint)JMIR Research Protocols10.2196/34013Online publication date: 6-Oct-2021
  • (2021)Laboratory informatics capacity for effective antimicrobial resistance surveillance in resource-limited settingsThe Lancet Infectious Diseases10.1016/S1473-3099(20)30835-521:6(e170-e174)Online publication date: Jun-2021
  • (2020)On Being Iterated: The Affective Demands of Design ParticipationProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376545(1-11)Online publication date: 21-Apr-2020
  • (2019)Redesigning a Basic Laboratory Information System for the Global South2019 ITU Kaleidoscope: ICT for Health: Networks, Standards and Innovation (ITU K)10.23919/ITUK48006.2019.8995907(1-8)Online publication date: Dec-2019

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