Implementing Data-Driven Tools in General Practice; an interactive and perspective workshop from the Global PBRN Initiative within WONCA Working Party on Research (WPR)
Hina VUIJK, Sander VAN DOORN, Luis VELEZ LAPÃO, Meredith MAKEHAM, Maarten HOMBURG, Anna DANIA and Geert-Jan GEERSING
Keywords: Data-driven healthcare innovation, AI, primary care Primary care is under increasing pressure due to rising workload in an ageing society, workforce shortages, and substitution of care from secondary to primary settings. Data-driven and AI tools offer strong potential to support general practitioners in administrative tasks, operational processes, and clinical decision making. However, successful implementation in daily practice remains challenging and fragmented. The Global PBRN Initiative promotes using AI in primary care data. In this workshop, we will explore the full learning healthcare systems cycle from identifying practical clinical questions, to suitable data, to validated tools and their integration back into primary care. We present and discuss five steps in a possible implementation pathway, illustrated with examples from ongoing initiatives and research experience, such as e.g. the identification of frail elderly patients in routine healthcare data. (1) Prioritize and formulate questions relevant for daily practice; (2) Collect and annotate data; (3) Develop insights and tools; (4) Iterate with end users; (5) Deliver tools via dashboards, EHR integration or software.1. Identify key steps for truly engaging with as well as implementing data-driven and AI tools in general practice. 2. Recognize organizational, technical, and clinical barriers and facilitators. Participants will discuss these topics and share learnings on practical frameworks for developing, validating, and integrating tools into their own country- and contextual specific workflows.We will organize an interactive workshop based on real life cases using expert inputs, consisting of presentations and discussions. Participants are invited to actively share experiences and implementation strategies. – 20 min Real-world case presentations – 30 min: Breakout discussions/polling/plenary debate across the implementation steps – 10 min: Plenary summary and key take-home messagesThrough the discussions and shared learning, participants will gain a clear understanding of the key requirements for successful implementation of data-driven and AI tools in primary care, as well as their own role within this process and practical do’s and don’ts for their own practice or region.Many data-driven and AI tools are rapidly emerging, but only with proper implementation, addressed in this workshop, can they provide the necessary support to daily general practice.
