Electronic Health Record (EHR) systems hold potential to aid clinical diagnosis, operations and research. However, their data is often unstructured, and the systems are time-consuming and difficult to work with. These problems contribute to clinical errors and physician burnout.
This team is developing MedKnowts, a system combining machine learning and human-computer interaction to reduce the effort needed both to synthesize knowledge for medical decisions and to create quality structured records. MedKnowts provides a seamless interface that reimagines documentation as part of clinical reasoning rather than a compliance requirement. The result will be faster documentation, a lower search burden, and higher quality notes for billing, compliance and communication.