WADA List
0.1.0 - CI Build

WADA List, published by . This guide is not an authorized publication; it is the continuous build for version 0.1.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/adamzkover/wada-list-fhir/ and changes regularly. See the Directory of published versions

Index

Official URL: https://folk.ntnu.no/adamzk/it6103/ImplementationGuide/no.ntnu.folk.adamzk.it6103.wada-list Version: 0.1.0
Draft as of 2024-11-03 Computable Name: WadaList

Background

WADA, the World Anti Doping Agency publishes guidelines on the use of medicines: “The List of Prohibited Substances and Methods (List) indicates what substances and methods are prohibited in sport and when.” The guidelines are published as human-readable text on the websites of WADA and its affiliated national organizations.

This content implementation guide is a proof of concept implementation of the WADA List of Prohibited Substances and Methods as computable knowledge representation, upgrading the guidelines, using the terminology from “A multilayered framework for representing clinical decisions”, from Unstructured to Executable content.

The implementation uses the HL7 standards Clinical Quality Language (CQL) and Fast Health Interoperability Resources (FHIR) Release 4 (R4), following the resource layout of the Content IG Walkthrough.

An example of such a computable guideline representation is the WHO Antenatal Care Guideline Implementation Guide.

Benefits of a computable guideline representation include the ability to evaluate new products automatically, and the possibility to build clinical decision support services on the knowledge base represented by the gudeline’s resources.

See the Implementation page for technical details of the implementation.

Disclaimer

This content is developed as an exam submission for the course IT, Organization and Cooperation in Healthcare (IT6103) at the Norwegian University of Science and Technology (NTNU). Its sole purpose is to demonstrate the feasibility of the technological solution and should not be used to inform any real-life decisions.