Abstract: The Learning Health System (LHS) relies on routine extraction, aggregation and transformation of medical data from a variety of sources into actionable clinical knowledge. Diagnostic decision support systems (DSS) are tools that are suitable for taking a role in an LHS model, however, their acceptance is hampered by a lack of full integration with the existing Electronic Health Record (EHR) system that is already part of the clinicians’ workflow. We present an abstract architecture outlining the main components of a DSS system, and we outline the messages and data content required at each step of the diagnostic supported consultation that selects between differential diagnoses. We describe a prototype DSS fully integrated with an existing EHR, which was successful in improving differential diagnostic accuracy, and increasing coded information in the record. Moreover, we show that our suggested architecture can overcome most of the reported challenges of integrating DSS within clinical workflow.

Learning Objective 1: Understand the process of integrating a differential diagnostic system with an Electronic Heltah Record System in the UK


Samhar Mahmoud, King's College London
Derek Corrigan, Royal College of Surgeons in Ireland
Brendan Delaney, Imperial College London
Vasa Curcin (Presenter)
King's College London

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