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

Hina Inam, Fatima Amjad, Abdul UAhad Sohail, Qalab Abbas

Research output: Contribution to journalArticlepeer-review

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. Clear framework of implantation and pre-designed studies to determine the clinical usage and effectiveness are important for wide-spread use of such tools.

Original languageEnglish
Pages (from-to)S57-S64
JournalJPMA. The Journal of the Pakistan Medical Association
Volume74
Issue number4 4
DOIs
Publication statusPublished - 1 Apr 2024

Keywords

  • PICU, Artificial Intelligence, algorithm, risk analytics, data visualization

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