title: The accuracy of clinical information systems.
abstract: The clinical information system (CIS) is becoming more common in intensive care units. These systems have the ability to record, store, and retrieve large amounts of clinical patient data with great ease. This should greatly facilitate outcomes research and quality assurance. Unfortunately, there is not much information available about the accuracy of the data coming from these systems. True accuracy of a patient record requires both completeness of data and correctness of data as well as legibility. Automated systems are clearly superior to human entered data in terms of completeness and legibility but the correctness of entered data remains unclear. There are aspects of automated data entry that facilitate erroneous data entry. This article reviews the existing literature on accuracy of CISs with special attention to the qualities of automated data entry that can lead to false data. Additionally, data are presented from a newly published study by the author evaluating the validity of data from a commercially available CIS.
authors.affiliation: Brown Medical School, Rhode Island Hospital, 593 Eddy St. APC 707, Providence, RI 02903, USA. Nicholas_Ward@brown.edu
authors.forename: Nicholas S
authors.initials: NS
authors.lastname: Ward
mesh_terms: D003201:Computers / Q000592:standards*; D011307:Drug Prescriptions / Q000592:standards; D006751:Hospital Information Systems / Q000592:standards*; D006801:Humans; D007362:Intensive Care Units / Q000592:standards; D038801:International Classification of Diseases / Q000706:statistics & numerical data; D007902:Length of Stay; D008991:Monitoring, Physiologic / Q000592:standards; D011786:Quality Control; D018401:Sample Size