Title:Towards structured consulation for biomedical data query formulation
With current widening adoption of electronic health records (EHR), the accrual of vast amounts of structured health data has become a valuable resource for clinical researchers. However, clinical researchers, who usually do not understand the underlying data representations and models, face significant barriers to interrogating these data and rely on the assistance of a query analyst using a mediated query process, which is costly, and time-consuming.
However, little is known about the query mediation process to inform informatics interventions for improve query quality and efficiency. Furthermore, existing biomedical query tools provide limited aid to biomedical researchers for query formulation. On the other hand, many information search and retrieval models have been developed in related fields such as information science. We hypothesize that these models can be applied to facilitate structured consultation for biomedical data querying in the same way as librarians using structured reference interviews to assessing user needs.
In this presentation, I will provide a systematic synthesis of the literature for models that characterize the query formulation processes and their inherent task complexities and existing approaches to facilitating query formulation.