title: Easily configured real-time CPOE Pick Off Tool supporting focused clinical research and quality improvement.
abstract: Real-time alerting systems typically warn providers about abnormal laboratory results or medication interactions. For more complex tasks, institutions create site-wide 'data warehouses' to support quality audits and longitudinal research. Sophisticated systems like i2b2 or Stanford's STRIDE utilize data warehouses to identify cohorts for research and quality monitoring. However, substantial resources are required to install and maintain such systems. For more modest goals, an organization desiring merely to identify patients with 'isolation' orders, or to determine patients' eligibility for clinical trials, may adopt a simpler, limited approach based on processing the output of one clinical system, and not a data warehouse. We describe a limited, order-entry-based, real-time 'pick off' tool, utilizing public domain software (PHP, MySQL). Through a web interface the tool assists users in constructing complex order-related queries and auto-generates corresponding database queries that can be executed at recurring intervals. We describe successful application of the tool for research and quality monitoring.
authors.affiliation: Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
authors.forename: Benjamin P
authors.initials: BP
authors.lastname: Rosenbaum
authors.forename: Nikolay
authors.initials: N
authors.lastname: Silkin
authors.forename: Randolph A
authors.initials: RA
authors.lastname: Miller
mesh_terms: D035843:Biomedical Research; D057208:Health Level Seven; D006801:Humans; D020407:Internet; D050316:Medical Order Entry Systems / Q000592:standards; D058996:Quality Improvement; D012984:Software; D014584:User-Computer Interface
keywords: Data Repository; Data Warehouse; EMR; Pick Off Tool; Pickoff