title: Preparing for ICD-10-CM/PCS implementation: impact on productivity and quality.
abstract: Coding productivity is expected to drop significantly during the lead-up to and in the initial stages of ICD-10-CM/PCS implementation, now expected to be delayed until October 1, 2015. This study examined the differences in coding productivity between ICD-9-CM and ICD-10-CM/PCS for hospital inpatient cases matched for complexity and severity. Additionally, interrater reliability was calculated to determine the quality of the coding. On average, coding of an inpatient record took 17.71 minutes (69 percent) longer with ICD-10-CM/PCS than with ICD-9-CM. A two-tailed T-test for statistical validity for independent samples was significant (p = .001). No coder characteristics such as years of experience or educational level were found to be a significant factor in coder productivity. Coders who had received more extensive training were faster than coders who had received only basic training. Though this difference was not statistically significant, it provides a strong indication of significant return on investment for staff training time. Coder interrater reliability was substantial for ICD-9-CM but only moderate for ICD-10-CM/PCS, though some ICD-10-CM/PCS cases had complete interrater (coder) agreement. Time spent coding a case was negatively correlated with interrater reliability (-0.425 for ICD-10-CM and -0.349 for ICD-10-PCS). This finding signals that increased time per case does not necessarily translate to higher quality. Adequate training for coders, as well as guidance regarding time invested per record, is important. Additionally, these findings indicate that previous estimates of initial coder productivity loss with ICD-10-CM/PCS may have been understated.
authors.affiliation: Mary H. Stanfill, MBI, RHIA, CCS, CCS-P, FAHIMA, is vice president of HIM consulting services at United Audit Systems, Inc., in Cincinnati, OH.
authors.forename: Mary H
authors.initials: MH
authors.lastname: Stanfill
authors.affiliation: Kang Lin Hsieh, MS, is a PhD student in the School of Biomedical Informatics at the University of Texas Health Science Center at Houston in Houston, TX.
authors.forename: Kang Lin
authors.initials: KL
authors.lastname: Hsieh
authors.affiliation: Kathleen Beal, MPA, CPHQ, RHIA, is division director of care management at the University Hospital of Cincinnati in Cincinnati, OH.
authors.forename: Kathleen
authors.initials: K
authors.lastname: Beal
authors.affiliation: Susan H. Fenton, PhD, RHIA, FAHIMA, is an assistant professor and assistant dean for academic affairs in the School of Biomedical Informatics at the University of Texas Health Science Center at Houston in Houston, TX.
authors.forename: Susan H
authors.initials: SH
authors.lastname: Fenton
mesh_terms: D059019:Clinical Coding / Q000706:statistics & numerical data*; D017598:Efficiency, Organizational / Q000706:statistics & numerical data*; D006801:Humans; D007318:Inservice Training / Q000379:methods / Q000706:statistics & numerical data*; D038801:International Classification of Diseases; D011787:Quality of Health Care / Q000706:statistics & numerical data*; D013996:Time and Motion Studies
keywords: ICD-10 implementation; coding quality; productivity