Open Collections

UBC Research Data

Digital adaptation kit for Smart Discharges: operational requirements for implementing Smart Discharge recommendations in digital systems Institute for Global Health

Description

<br /><strong>Background:</strong> 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. 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. <br /> <br /><strong>Objectives:</strong> This DAK provides operational requirements for implementing Smart Discharges recommendations in digital systems. With a focus on discharge care, this DAK aims to provide a common language across various audiences – discharge 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. The key objectives of this DAK are:<ul style=“list-style-type:square”> <li>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;</li> <li>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</li> <li>to provide a starting point of the core data elements and decision-support logic that should be included within DTDS systems for Smart Discharges.</li></ul> <br /><strong>Acknowledgements:</strong> The Institute for Global Health (IGH) is grateful for the contributions of its collaborators. This digital adaptation kit was coordinated by Peter Lewis, Charly Huxford, Jessica Trawin, Dustin Dunsmuir, Matthew Wiens, and Mark Ansermino of IGH; and Clare Komugisha of the World Alliance for Lung and Intensive Care Medicine in Uganda (WALIMU). <br />; <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at <a href = mailto:sepsiscolab@bccchr.ca>sepsiscolab@bcchr.ca</a> or visit our <a href = "https://wfpiccs.org/pediatric-sepsis-colab/">website</a>.

Item Metadata

Title
Digital adaptation kit for Smart Discharges: operational requirements for implementing Smart Discharge recommendations in digital systems
Creator
Institute for Global Health
Contributor
Trawin, Jessica
Date Issued
2023-08-10
Description
<br /><strong>Background:</strong> 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. 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. <br /> <br /><strong>Objectives:</strong> This DAK provides operational requirements for implementing Smart Discharges recommendations in digital systems. With a focus on discharge care, this DAK aims to provide a common language across various audiences – discharge 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. The key objectives of this DAK are:<ul style=“list-style-type:square”> <li>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;</li> <li>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</li> <li>to provide a starting point of the core data elements and decision-support logic that should be included within DTDS systems for Smart Discharges.</li></ul> <br /><strong>Acknowledgements:</strong> The Institute for Global Health (IGH) is grateful for the contributions of its collaborators. This digital adaptation kit was coordinated by Peter Lewis, Charly Huxford, Jessica Trawin, Dustin Dunsmuir, Matthew Wiens, and Mark Ansermino of IGH; and Clare Komugisha of the World Alliance for Lung and Intensive Care Medicine in Uganda (WALIMU). <br />; <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at <a href = mailto:sepsiscolab@bccchr.ca>sepsiscolab@bcchr.ca</a> or visit our <a href = "https://wfpiccs.org/pediatric-sepsis-colab/">website</a>.
Subject
Medicine, Health and Life Sciences; Common data elements; Patient discharge; Electronic Health Records; Quality improvement; Data science; Infection; Pediatric; Infant; Data curation; Data management; Big data; Sepsis; Child; Medical informatics; Algorithms; Data aggregation; Digitial health
Type
Dataset
Language
English
Date Available
2023-06-07
Provider
University of British Columbia Library
License
CC BY-NC-SA 4.0
DOI
10.14288/1.0435119
URI
https://doi.org/10.5683/SP3/4AD1JE
Publisher DOI
https://doi.org/10.5683/SP3/4AD1JE
Rights URI
http://creativecommons.org/licenses/by-nc-sa/4.0
Aggregated Source Repository
Dataverse

Item Media

Item Citations and Data

Licence

CC BY-NC-SA 4.0