Experiences in aligning WHO SMART guidelines to classification and terminology standards

Author:

Pretty Filippa,Tamrat TigestORCID,Ratanaprayul NatschjaORCID,Barreix MariaORCID,Kostanjsek Nenad Friedrich Ivan,Gaffield Mary-Lyn,Thompson JennyORCID,Rhodes Bryn,Jakob Robert,Mehl Garrett Livingston,Tunçalp Özge

Abstract

ObjectivesDigital 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).MethodsWe encoded data elements within the ANC and family planning DAKs to standardised CATs from the WHO CATs and other freely available CATs.ResultsThe coding process demonstrated approaches to refine the data dictionaries and enhance alignment between data elements and CATs.DiscussionApplying 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.ConclusionThe 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.

Funder

Bill and Melinda Gates Foundation

Fondation Sanofi Espoir

WHO Department of Sexual and Reproductive Health and Research through the Special Programme of Research, Development, and Research Training in Human Reproduction

Publisher

BMJ

Reference14 articles.

1. Use of standardized Terminologies in clinical practice: a scoping review;Fennelly;Int J Med Inform,2021

2. Interoperability techniques in crowdhealth project: the terminology service;Lete;Acta Inform Med,2019

3. World Health Organization . WHO-FIC Classifications and Terminology Mapping Principles and Best Practice. 2021. Available: https://www.who.int/publications/m/item/who-fic-classifications-andterminology-mapping [accessed 8 Jun 2023].

4. Kostanjsek N et al. . Use of ICD-11 and other WHO classifications and Terminologies in clinical and public health guideline development and implementation. In press.

5. World Health Organization . International statistical classification of diseases and related health problems (ICD). Geneva: World Health Organization, 2021. Available: https://www.who.int/standards/classifications/classification-of-diseases

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