When individual patient data are linked with other data (prescription and laboratory data) it is possible to explore a wide range of clinical issues, research questions as well as quality performance evaluations. This diagnosis is coded according to the International Classification of Diseases (ICD) which is a standardized diagnostic tool planned to map health conditions. In addition to maintaining a rigorous anonymity of patient’s demographic, the most relevant data that makes these healthcare databases interesting for research purposes is the diagnosis provided to the patient at hospital discharge. The continuous collection of demographic data together with diagnosis, therapeutic interventions as well as prescription information makes these databases attractive for comprehensive assessment of the burden of diseases in terms of major outcomes, such as mortality, hospital readmissions, and use of healthcare resources. These databases are organized and maintained at different administrative levels including hospitals, local health units, and at regional level. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have declared that no competing interests exist.Īdministrative databases are considerable data repositories that are increasingly being used within healthcare systems. No 1798 of ) supported by funding from the Regional Health Authority of Umbria. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: All relevant data are within the paper and its Supporting Information files.įunding: This study was developed within the Data-Value Project (“Progetto Data-Value: valorizzazione del dato sanitario regionale per la Ricerca dei Servizi Sanitari (Health Services Research)” – D.G.R. Received: JanuAccepted: JPublished: July 8, 2019Ĭopyright: © 2019 Cozzolino et al. PLoS ONE 14(7):Įditor: Gianni Virgili, Universita degli Studi di Firenze, ITALY (2019) A diagnostic accuracy study validating cardiovascular ICD-9-CM codes in healthcare administrative databases. Citation: Cozzolino F, Montedori A, Abraha I, Eusebi P, Grisci C, Heymann AJ, et al.

Diagnosis code for atrial fibrillation