Experiences in aligning WHO SMART guidelines to classification and terminology standards.

BMJ Health Care Inform

UNDP/UNFPA/UNICEF/World Bank Special Program of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Geneva, Switzerland.

Published: August 2023

AI Article Synopsis

  • The paper discusses the development of Digital Adaptation Kits (DAKs) that simplify WHO guidelines for digital use, specifically for antenatal care (ANC) and family planning.
  • It highlights the lessons learned from coding data elements to standardised classifications and terminologies (CATs) to ensure consistency and clarity in digital systems.
  • The conclusion emphasizes the importance of a multidisciplinary approach in translating guidelines into digital formats, while noting the need for further exploration of implementation in different countries.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439311PMC
http://dx.doi.org/10.1136/bmjhci-2022-100691DOI Listing

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