title: Database construction for improving patient safety by examining pathology errors.
abstract: A critical component of improving patient safety is reducing medical errors. "Improving Patient Safety by Examining Pathology Errors" is a project designed to collect data about and analyze diagnostic errors voluntarily reported by 4 academic anatomic pathology laboratories and to develop and implement interventions to reduce errors and improve patient outcomes. The study database is Web-mediated and Oracle-based, and it houses de-identified error data detected by cytologic-histologic correlation and interdepartmental conference review. We describe the basic design of the database with a focus on challenges faced as a consequence of the absence of standardized and detailed laboratory workload and quality assurance data sets in widely used laboratory information systems and the lack of efficient and comprehensive electronic de-identification of unlinked institutional laboratory information systems and clinical data. Development of these electronic data abstraction capabilities is critical for efforts to improve patient safety through the examination of pathology diagnostic errors.
authors.affiliation: Department of Pathology, University of Pittsburgh, School of Medicine, Pittsburgh, PA 15232, USA.
authors.forename: Dana Marie
authors.initials: DM
authors.lastname: Grzybicki
authors.forename: Brian
authors.initials: B
authors.lastname: Turcsanyi
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Becich
authors.forename: Dilip
authors.initials: D
authors.lastname: Gupta
authors.forename: John R
authors.initials: JR
authors.lastname: Gilbertson
authors.forename: Stephen S
authors.initials: SS
authors.lastname: Raab
mesh_terms: D016208:Databases, Factual; D003951:Diagnostic Errors / Q000145:classification / Q000517:prevention & control*; D006801:Humans; D016347:Medical Records Systems, Computerized; D010340:Pathology, Surgical / Q000592:standards*; D010361:Patients; D011634:Public Health; D011785:Quality Assurance, Health Care / Q000379:methods*; D011786:Quality Control; D017751:Safety Management / Q000379:methods*