Joseph C Nichols1, Feroz A Osmani2, Yousuf Sayeed2. 1. Health Data Consulting LLC, Seattle, Washington. 2. Department of Orthopaedic Surgery, NYU Langone Medical Center, Hospital for Joint Disease, New York, New York.
Abstract
BACKGROUND: Health care payment models are changing rapidly, and the measurement of outcomes and costs is increasing. METHODS: With the implementation of International Classification of Diseases 10th revision (ICD-10) codes, providers now have the ability to introduce a precise array of diagnoses for their patients. RESULTS: More specific diagnostic codes do not eliminate the potential for vague application, as was seen with the utility of ICD-9. Complete, accurate, and consistent data that reflect the risk, severity, and complexity of care are becoming critically important in this new environment. Orthopedic specialty organizations must be actively involved in influencing the definition of value and risk in the patient population. CONCLUSION: Now is the time to use the ICD-10 diagnostic codes to improve the management of patient conditions in data.
BACKGROUND: Health care payment models are changing rapidly, and the measurement of outcomes and costs is increasing. METHODS: With the implementation of International Classification of Diseases 10th revision (ICD-10) codes, providers now have the ability to introduce a precise array of diagnoses for their patients. RESULTS: More specific diagnostic codes do not eliminate the potential for vague application, as was seen with the utility of ICD-9. Complete, accurate, and consistent data that reflect the risk, severity, and complexity of care are becoming critically important in this new environment. Orthopedic specialty organizations must be actively involved in influencing the definition of value and risk in the patient population. CONCLUSION: Now is the time to use the ICD-10 diagnostic codes to improve the management of patient conditions in data.
Authors: Kevin Lawrence; Christopher Joos; Aubrey E Jones; Stacy A Johnson; Daniel M Witt Journal: J Thromb Thrombolysis Date: 2019-08 Impact factor: 2.300