More than a decade has passed since the Institute of Medicine released the Crossing the Quality Chasm report, highlighting the challenges in health care–quality improvements.1 The proposals outlined by this report have extensive data needs. Given the ubiquitous nature of administrative databases that are already being generated from hospital billings, these databases have formed the backbone of many current health care policies such as the transparency initiatives by the Centers for Medicare and Medicaid Services through the Hospital Compare website, the development of Patient Safety Indicators by the Agency for Healthcare Research and Quality,2 and the pay-for-performance policy related to hospital readmissions.3 In addition to patient demographic data, these databases capture diagnosis and procedure codes associated with patient care and some basic outcome information on discharge.
David C. Chang, Christopher Evans, Joseph Parker. Conceptualizing Administrative Databases as Screening Tools for Health System QualityRethinking the Issue of Data Accuracy. JAMA Surg. 2015;150(1):5–6. doi:10.1001/jamasurg.2014.1352