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The 130th Annual Meeting of APHA |
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The 130th Annual Meeting of APHA |
Daniel Lorence, PhD, Department of Health Policy and Administration, Pennsylvania State University, 116 Henderson Building, University Park, PA 16802 and Ibrahim Awad Ibrahim, MD, PhD, Department of Health Policy and Administration, Penn State University, 114 Henderson, University Park, State College, PA 16802, 814-865-1472, dpl10@psu.edu.
The emergence of evidence-based, data-driven medicine in the United States suggests that the representation of the medical patient, and ultimately the organization’s measured quality of care, is represented by data rather than by extensive face-to-face contact with the patient. This digitized data depends on reliable and functional coding and classification in order for information to serve as a tool in the overall delivery of care. Measurement of data accuracy and consistency as the primary outcome of information quality in day-to-day practice remains a key factor in continuing the provision of quality care, as greater adoption of, and increased reliance on, additional coding and classification systems in healthcare delivery settings emerges. A national survey of health information managers was undertaken to provide representative field benchmarks in the accuracy of coded medical data. The sample included respondents from a variety of practice settings and job titles, across a variety of healthcare markets. Findings suggested significant variation in the accuracy and consistency in coding practices and associated data quality across key geographic and demographic variables, suggesting the limited value of patient record and claims data in the current coding and classification environment.
Learning Objectives:
Keywords: Coding, Information Systems
Presenting author's disclosure statement:
I do not have any significant financial interest/arrangement or affiliation with any organization/institution whose products or services are being discussed in this session.