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Using Intrinsic and Extrinsic Metrics to Evaluate Accuracy and Facilitation in Computer-Assisted Coding

Author: Resnik, Philip; Niv, Michael; Nossal, Michael; Schnitzer, Gregory L.; Stoner, Jean; Kapit, Andrew; Toren, Richard

Source: AHIMA Computer-Assisted Coding Meeting

Publication Date: September 06, 2006

Computer-assisted coding (CAC) evaluation can be viewed from two related but distinct perspectives: accurately identifying codes, and more generally facilitating the process of human coding and information flow within and among healthcare organizations. The first perspective calls for intrinsic metrics, grounded in comparison with a gold standard. The second perspective calls for extrinsic techniques, grounded in the real-world task. We discuss this distinction and present an experimental evaluation of CAC using both intrinsic and extrinsic measures.

Assessing Coder Change Rates as an Evaluation Metric

Author: Stoner, Jean; Nossal, Michael; Resnik, Philip; Kapit, Andrew; Toren, Richard

Source: AHIMA Computer-Assisted Coding Meeting | Perspectives in Health Information Management

Publication Date: September 2006

In a typical model for computer-assisted coding, the system automatically identifies codes, which are then improved by a human review coder in order to more closely approach the codes that would be assigned to the note by an idealized "gold standard" coder. Assuming such a model, a natural method for evaluating system accuracy might be the coder change rate—specifically, the percentage of notes approved by a coder without modification in a day-to -day business setting. In this paper we look more carefully at change rates as a measure of coding accuracy.