title: Leveraging an existing data warehouse to annotate workflow models for operations research and optimization.
abstract: Workflow analysis is frequently performed in the context of operations research and process optimization. In order to develop a data-driven workflow model that can be employed to assess opportunities to improve the efficiency of perioperative care teams at The Ohio State University Medical Center (OSUMC), we have developed a method for integrating standard workflow modeling formalisms, such as UML activity diagrams with data-centric annotations derived from our existing data warehouse.
authors.affiliation: Ohio State University Medical Center, Information Warehouse, Columbus, OH, USA.
authors.forename: Tara
authors.initials: T
authors.lastname: Borlawsky
authors.forename: Jeanne
authors.initials: J
authors.lastname: LaFountain
authors.forename: Lynda
authors.initials: L
authors.lastname: Petty
authors.forename: Joel H
authors.initials: JH
authors.lastname: Saltz
authors.forename: Philip R O
authors.initials: PR
authors.lastname: Payne
mesh_terms: D016208:Databases, Factual; D004282:Documentation / Q000379:methods*; D006751:Hospital Information Systems / Q000458:organization & administration*; D016247:Information Storage and Retrieval / Q000379:methods; D017146:Models, Organizational; D009323:Natural Language Processing; D009874:Operations Research; D019990:Perioperative Care / Q000458:organization & administration*; D018511:Systems Integration; D014481:United States; D057188:Workflow