| Literature DB >> 18999220 |
Tara Borlawsky1, Jeanne LaFountain, Lynda Petty, Joel H Saltz, Philip R O Payne.
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.Mesh：
Year: 2008 PMID： 18999220
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN： 1559-4076