Unmet Need
Electronic medical record (EMR) systems are often used in hospital to store patient history, diagnoses, medications, treatment plans, radiology images, laboratory test results and other medical information. It allows physicians access to a multitude of tools for making patient care decisions, automating, and streamlining the clinical workflow. However, current systems lack the ability to view cross-sectional data, research data or analytical models without exiting the EMR database. Thus, there is a need for an electronic medical record platform that allows for viewing cross-sectional data for streamlining comprehensive diagnoses.
Technology Overview
Johns Hopkins researchers developed a patient longitudinal viewer that provides physicians with a comprehensive view of a patient’s medical history and allows them to discover trends and correlations relevant to the patient's condition. It is composed of a data pipeline that aggregates heterogenous patient data from different sources into a common model, a configurable template driven visualization engine for visualizing longitudinal patient history across clinical domains, and a context manager that manages user authorization and patient visualizations. This longitudinal viewer has been integrated with Epic, a cloud based EMR system, to allow for a seamless transition in the clinical workflow.
Stage of Development
Proof of Concept.
Patent
N/A
Publication
Scott JW, et al. ACTRIMS. 2019.
