Novel data visualization and risk analytic algorithm in a low-middle income country

Authors

  • Hina Inam Department of Surgery, Aga Khan University Hospital
  • Fatima Amjad Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan
  • Abdul Ahad Sohail Department of Surgery, Aga Khan University Hospital
  • Qalab Abbas Department of Surgery, Aga Khan University Hospital

DOI:

https://doi.org/10.47391/JPMA.AKU-9S-09

Abstract

To discuss the use of T3™, a data aggregation, visualization, and risk analytic platform in a single centre and its framework for implementation of such a tool in clinical care. We share experience of a tool implemented in a tertiary care Intensive Care Unit (ICU) with limited resources. Superusers were identified and trained. Implementation involved monitoring, evaluation, and user engagement data for continuous emphasis on the use of this tool. Persistent display of T3 data enhanced nursing operational efficiency. Its use was expanded to use in nurses rounds and handover, mortality and morbidity meetings, clinical team teaching through selected teaching cases and analysis of stored data with different research questions. However, lack of infrastructure and technological comprehension, paucity of multidisciplinary teams makes it a challenge in its implementation.

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Published

2024-05-03

How to Cite

Hina Inam, Fatima Amjad, Abdul Ahad Sohail, & Qalab Abbas. (2024). Novel data visualization and risk analytic algorithm in a low-middle income country. Journal of the Pakistan Medical Association, 74(4), S–57. https://doi.org/10.47391/JPMA.AKU-9S-09

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