Abstract: Learning Health Systems (LHS) can transform health systems via rapid, systematic, and cyclical sharing and learning from the available evidence to enable knowledge-informed decisions. However, without proper governance, it will be impossible to achieve a LHS. Merely digitizing the current workflows does not mean that the information in patient records is sufficient for safe and effective healthcare practice nor supportive of a LHS. Therefore, the adequate management and governance of health information is a necessary precursor to the effectiveness of LHS. In this work, we describe the first results of a community action research initiative on data governance at a research center offering clinical and health services to patients with diabetes. We describe how the LHS on data governance at DDI was formed and overview the actions taken throughout the lifecycle of LHS: data to knowledge (D2K), knowledge to performance (K2P), and performance to data (P2D).
Describe the new knowledge and additional skills the participant will gain after attending your presentation.: Our goal is to shed light on the lessons learned from forming a LHS on Data Governance and its benefits at a health research institute providing clinical services to patients.
Dari Alhuwail (Presenter)
Rania Milhem, Dasman Diabetes Institute