Рет қаралды 4
Topic: "Toward Designing Context-Aware Electronic Health Records with a Patient-Specific Knowledge Base"
The US health system has recently achieved nationwide electronic health record (EHR) adoption, with large-scale adoption of commercial systems.
These systems were adopted without a much-needed redesign to address critical limitations, such as suboptimal interfaces, overzealous alerts, and bloated notes; as a result, unintended consequences have emerged at different levels of the US health system.
Recently proposed solutions to address EHRs’ limitations, such as improvements to EHR design and to clinical decision support (CDS) logic, may not be sufficient because the EHR would still miss relevant information that is buried in clinical notes or in the clinicians’ minds.
We believe that if patients’ care context data were routinely captured in computable form (modeled, structured, and coded), they could be used to inform better navigation, CDS, and data entry. In this presentation, we will describe the development of an ontology to formally represent patients’ care context data and its application to improve EHR navigation and CDS.