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Experiences in aligning WHO SMART guidelines to classification and terminology standards
OBJECTIVES: Digital adaptation kits (DAKs) distill WHO guidelines for digital use by representing them as workflows, data dictionaries and decision support tables. This paper aims to highlight key lessons learnt in coding data elements of the antenatal care (ANC) and family planning DAKs to standard...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439311/ https://www.ncbi.nlm.nih.gov/pubmed/37562854 http://dx.doi.org/10.1136/bmjhci-2022-100691 |
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author | Pretty, Filippa Tamrat, Tigest Ratanaprayul, Natschja Barreix, Maria Kostanjsek, Nenad Friedrich Ivan Gaffield, Mary-Lyn Thompson, Jenny Rhodes, Bryn Jakob, Robert Mehl, Garrett Livingston Tunçalp, Özge |
author_facet | Pretty, Filippa Tamrat, Tigest Ratanaprayul, Natschja Barreix, Maria Kostanjsek, Nenad Friedrich Ivan Gaffield, Mary-Lyn Thompson, Jenny Rhodes, Bryn Jakob, Robert Mehl, Garrett Livingston Tunçalp, Özge |
author_sort | Pretty, Filippa |
collection | PubMed |
description | OBJECTIVES: Digital adaptation kits (DAKs) distill WHO guidelines for digital use by representing them as workflows, data dictionaries and decision support tables. This paper aims to highlight key lessons learnt in coding data elements of the antenatal care (ANC) and family planning DAKs to standardised classifications and terminologies (CATs). METHODS: We encoded data elements within the ANC and family planning DAKs to standardised CATs from the WHO CATs and other freely available CATs. RESULTS: The coding process demonstrated approaches to refine the data dictionaries and enhance alignment between data elements and CATs. DISCUSSION: Applying CATs to WHO clinical and public health guidelines can ensure that recommendations are operationalised in a digital system with appropriate consistency and clarity. This requires a multidisciplinary team and careful review to achieve conceptual equivalence between data elements and standardised terminologies. CONCLUSION: The systematic translation of guidelines into digital systems provides an opportunity for leveraging CATs; however, this approach needs further exploration into its implementation in country contexts and transition into machine-readable components. |
format | Online Article Text |
id | pubmed-10439311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-104393112023-08-20 Experiences in aligning WHO SMART guidelines to classification and terminology standards Pretty, Filippa Tamrat, Tigest Ratanaprayul, Natschja Barreix, Maria Kostanjsek, Nenad Friedrich Ivan Gaffield, Mary-Lyn Thompson, Jenny Rhodes, Bryn Jakob, Robert Mehl, Garrett Livingston Tunçalp, Özge BMJ Health Care Inform Implementer Report OBJECTIVES: Digital adaptation kits (DAKs) distill WHO guidelines for digital use by representing them as workflows, data dictionaries and decision support tables. This paper aims to highlight key lessons learnt in coding data elements of the antenatal care (ANC) and family planning DAKs to standardised classifications and terminologies (CATs). METHODS: We encoded data elements within the ANC and family planning DAKs to standardised CATs from the WHO CATs and other freely available CATs. RESULTS: The coding process demonstrated approaches to refine the data dictionaries and enhance alignment between data elements and CATs. DISCUSSION: Applying CATs to WHO clinical and public health guidelines can ensure that recommendations are operationalised in a digital system with appropriate consistency and clarity. This requires a multidisciplinary team and careful review to achieve conceptual equivalence between data elements and standardised terminologies. CONCLUSION: The systematic translation of guidelines into digital systems provides an opportunity for leveraging CATs; however, this approach needs further exploration into its implementation in country contexts and transition into machine-readable components. BMJ Publishing Group 2023-08-10 /pmc/articles/PMC10439311/ /pubmed/37562854 http://dx.doi.org/10.1136/bmjhci-2022-100691 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Implementer Report Pretty, Filippa Tamrat, Tigest Ratanaprayul, Natschja Barreix, Maria Kostanjsek, Nenad Friedrich Ivan Gaffield, Mary-Lyn Thompson, Jenny Rhodes, Bryn Jakob, Robert Mehl, Garrett Livingston Tunçalp, Özge Experiences in aligning WHO SMART guidelines to classification and terminology standards |
title | Experiences in aligning WHO SMART guidelines to classification and terminology standards |
title_full | Experiences in aligning WHO SMART guidelines to classification and terminology standards |
title_fullStr | Experiences in aligning WHO SMART guidelines to classification and terminology standards |
title_full_unstemmed | Experiences in aligning WHO SMART guidelines to classification and terminology standards |
title_short | Experiences in aligning WHO SMART guidelines to classification and terminology standards |
title_sort | experiences in aligning who smart guidelines to classification and terminology standards |
topic | Implementer Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439311/ https://www.ncbi.nlm.nih.gov/pubmed/37562854 http://dx.doi.org/10.1136/bmjhci-2022-100691 |
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