Informatics Research Seminar: Fixing the “Garbage In” Dilemma Through Transformation of Clinical Workflows (aka Structured Reporting)

October 5 @ 4:00 – 5:00 pm

 

Speaker: James Tcheng, MD
Presented from Duke University

Broadcast Link: Seminar

 

 

Abstract

There is a longstanding tradition in medicine that values verbose, prosaic documentation of clinical encounters, which is more often than not imprecise and incomplete, particularly from the perspective of computation. This hampers the ability to use the information in performance assessment, clinical decision support, metrics reporting, and other data-requiring analyses. Cardiology procedures are particularly data intensive. The potential for data in key cardiology procedures in addition to the standard documentation parameters requires tens of thousands of data elements. From an analytics perspective, the many sources of data are key for understanding both individual and population health outcomes while improving institutional and operational efficiency.

A formatted report generated via a structured reporting process accomplishes the goal of capturing clinical information as data, but structured reporting is only slowly being adopted despite prior recommendations and endorsements. This presentation will describe the structured reporting paradigm and identify the stakeholders (and their respective roles) that must contribute to successfully adapt structured reporting in health care.

Speaker Bio

James E. Tcheng, MD, is a Professor of Medicine and a Professor of Community and Family Medicine (in Informatics) at Duke University. He is a practicing interventional cardiologist and is faculty in the Duke Center for Health Informatics, the Duke Clinical Research Institute, and the FDA-sponsored Medical Device Epidemiology Network (MDEpiNet) Coordinating Center. He serves as Director of the Duke Cardiovascular Databank, is Chair of the Informatics and Health IT Task Force of the American College of Cardiology (ACC), and is a member of the ACC/AHA Task Force on Clinical Data Standards. His current work focuses on harmonizing the informatics of clinical and operational definitions for cardiovascular concepts across academia, FDA, the life sciences industry, professional societies, and standards organizations, to improve the capture, communication, interoperability, and analysis of healthcare information.