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Data · dataset · 2024

Digital adaptation kit for Smart Triage: operational requirements for implementing Smart Triage recommendations in digital systems

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Objective(s): To ensure countries can effectively benefit from digital health investments, digital adaptation kits (DAKs) are designed to facilitate the accurate reflection of clinical, public health and data use guidelines within the digital systems countries are adopting.

Description

DAKs are operational, software-neutral, standardized documentation that distill clinical, public health and data use guidance into a format that can be transparently incorporated into digital systems.

Objective(s): This DAK provides operational requirements for implementing Smart Triage recommendations in digital systems. With a focus on triage care, this DAK aims to provide a common language across various audiences – triage and other programme managers, software developers, and implementers of digital systems – to ensure a common understanding of the appropriate health information content within a defined health programme area, as a mechanism to catalyse the effective use of these digital systems.

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The key objectives of this DAK are: to ensure adherence to clinical, public health and data use guidelines, and facilitate consistency of the health content that is used to inform the development of a patient-centred digital tracking and decision-support (DTDS) system; to enable both health programme leads and digital health teams (including software developers) to have a joint understanding of the health content within the digital system, with a transparent mechanism to review the validity and accuracy of the health content; and to provide a starting point of the core data elements and decision-support logic that should be included within DTDS systems for Smart Triage.

Acknowledgements: The Institute for Global Health (IGH) is grateful for the contributions of its collaborators. This digital adaptation kit was coordinated by Dustin Dunsmuir, Charly Huxford, Yashodani Pillay, Justine Behan, and Mark Ansermino of IGH; and Fredson Tusingwire and Aine Ivan Aye Ashebukara of the World Alliance for Lung and Intensive Care Medicine in Uganda (WALIMU). NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days.

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Inferred from text
Digital health 76%
Provenance · 1 source records, 11 field assertions
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