Leveraging an existing data warehouse to annotate workflow models for operations research and optimization.
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.
Borlawsky
Tara
T
Ohio State University Medical Center, Information Warehouse, Columbus, OH, USA.
LaFountain
Jeanne
J
Petty
Lynda
L
Saltz
Joel H
JH
Payne
Philip R O
PR
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