For research purposes such as cohort identification, Phenotyping, Pharmacovigilance, and public health surveillance, electronic health records are an essential data source. Enabling effective and independent EHR data interrogation by end users, such as biomedical researchers, is essential to achieving the promise of EHR data for advancing clinical research. This essay examines contemporary strategies and significant methodological issues for achieving this goal. With the goal of making it easier for end users to query EHR data, we modified a previously published conceptual framework for interactive information retrieval, which identifies three entities: user, channel, and source. We demonstrate that the current development in biomedical informatics is predominantly driven by support for query execution and information modelling, mostly as a result of emphasis on the creation of data infrastructure. Access through self-service query tools, but has overlooked the necessity for user help during laborious and erroneous repetitive query formulation processes. On the other hand, complex theories and techniques for user modelling and question formulation support have been provided in the information science literature.
Published Date: 2022-08-29; Received Date: 2022-07-01
