title: Neurosurgery clinical registry data collection utilizing Informatics for Integrating Biology and the Bedside and electronic health records at the University of Rochester.
abstract: In a population health-driven health care system, data collection through the use of clinical registries is becoming imperative to continue to drive effective and efficient patient care. Clinical registries rely on a department's ability to collect high-quality and accurate data. Currently, however, data are collected manually with a high risk for error. The University of Rochester's Department of Neurosurgery in conjunction with the university's Clinical and Translational Science Institute has implemented the integrated use of the Informatics for Integrating Biology and the Bedside (i2b2) informatics framework with the Research Electronic Data Capture (REDCap) databases.
authors.affiliation: Department of Neurosurgery, University of Rochester, New York.
authors.forename: Christine A
authors.initials: CA
authors.lastname: Pittman
authors.affiliation: Department of Neurosurgery, University of Rochester, New York.
authors.forename: Amrendra S
authors.initials: AS
authors.lastname: Miranpuri
mesh_terms: D000047:Academies and Institutes; D000328:Adult; D000368:Aged; D003625:Data Collection; D016208:Databases, Factual / Q000706:statistics & numerical data; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D019635:Neurosurgical Procedures / Q000379:methods*; D012042:Registries; D013118:Spinal Cord Diseases / Q000601:surgery*; D055815:Young Adult
keywords: API = application programming interface; DOB = date of birth; EHR = electronic health record; FTE = full-time employee; MRN = medical record number; N2QOD = National Neurosurgery Quality and Outcomes Database; PRO = patient-reported outcome; REDCap = Research Electronic Data Capture; clinical outcomes; database design; i2b2; i2b2 = Informatics for Integrating Biology and the Bedside