Unmet Need
Global healthcare is in a very crucial transitional phase going from a provider-driven model to a consumer-driven model. There is increased pressure to reduce costs, improve quality of care, and satisfy customers. Healthcare analytics is a growing force in global healthcare information technology (IT) and a major sector driving the healthcare IT industry. There are two major types of application for healthcare analytics: clinical and financial. Clinical analytics encompasses the capture and use of discrete clinical data to identify and measure quality, patient safety and service line efficiencies and improvements. The major reason for the limited use of clinical analytics by providers is the lack of an expert-reviewed interface between clinical physicians and complex patient-specific data (e.g. actionable genomic data). There is a need in the healthcare analytics landscape for a comprehensive and user-friendly approach accessible to all medical professionals for clinical decision support.
Technology Overview
Johns Hopkins researchers have developed a software titled “Evidence-based Decision support Implementation over Time” or “EDIT.” The software supports four main functions: prioritizing, reviewing, approving, and publishing clinical decision support. EDIT allows for new or rapidly evolving clinical guidelines to be evaluated internally by oversight committee experts and then to be effectively communicated to physicians within an institutional healthcare IT interface. The EDIT software can be employed within an existing clinical decision support system to prioritize new and revise existing clinical decision support.
Stage of Development
Prototype and software are available, extending to CDS Web service and Epic Best Practice Alert.
Publications
N/A
