Trends in ICD-10-CM-Coded Administrative Datasets for Injury Surveillance and Research.

Objectives: Accurate injury surveillance depends on data quality in administrative datasets created for billing and reimbursement. Significant effort has been devoted to testing the ability of candidate injury case definitions to identify injury cases accurately in these datasets. We used interviews with experienced coders, informed by a review of the current literature, to identify three clinical coding trends that may affect the consistency of surveillance data: "clinical documentation improvement or clinical documentation integrity" (CDI), coding by treating clinicians, and certain electronic health record features.

Practitioners Assess Achievements and Challenges of Nonfatal Injury Surveillance.

Objective: Injury surveillance relies on data coded for administrative rather than epidemiological accuracy. The Centers for Disease Control and Prevention (CDC) established the 5-year Surveillance Quality Improvement (SQI) initiative to advance consensus and methodology for injury epidemiology reporting and analysis. Evaluation of the positive predictive value of the CDC's injury surveillance definitions based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding in designated injury categories comprised much of the SQI initiative's work.