Botha, AdeleHerselman, Martha EBotha, AdeleHerselman, Martha ERousseau, P2025-07-212025-07-212024-11978-0-7988-5670-60-7988-5670-Xhttp://hdl.handle.net/10204/14296Purpose: The study aims to identify and prioritise National Interoperability Use Cases aligned with national health objectives to guide the development of a robust National Health Information System (NHIS). The primary objective is to produce a list of National Interoperability Use Cases, categorised by their importance and feasibility, to inform the development of a shared NHIS. The study aims to align these use cases with national health priorities, ensuring they are practical, interoperable, and adaptable to evolving technological environments. Study Design: A modified Delphi methodology was employed, engaging stakeholders across various health sectors through iterative rounds of engagement and feedback. The study employed clustering methodologies, specifically K-means clustering, to categorise the use cases by priority. Additionally, the Kemeny-Young Method was used for ranking, and consensus among stakeholders was measured using Kendall's W for validation. Findings: The study generated a prioritised list of use cases divided into four clusters based on their "Must have," "Should have," and "Could have" attributes. The clustering provided clarity on foundational and optional use cases, allowing for the strategic planning of the NHIS. The findings suggest a strong consensus on the importance of use cases related to Electronic Health Records, alignment between health information systems, and emergency responses. Value: The findings contribute to the ongoing efforts to develop an interoperable NHIS. While the research emphasises a systematic approach to use case prioritisation, it acknowledges the need for adaptability to emerging health technologies and continual reassessment. The framework presented aims to facilitate stakeholder collaboration and informed decision-making in developing the NHIS.FulltextenNational Health Information SystemInteroperability Use CasesDelphi MethodologyK-means ClusteringHealth Information TechnologySystem IntegrationHealth PolicyElectronic Health RecordsStakeholder EngagementBook Chaptern/a