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 (O...

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Veröffentlicht in:	AMIA ... Annual Symposium proceedings 2008-11, p.885-885
Hauptverfasser:	Borlawsky, Tara, LaFountain, Jeanne, Petty, Lynda, Saltz, Joel H, Payne, Philip R O
Format:	Artikel
Sprache:	eng
Schlagworte:	Databases, Factual Documentation - methods Hospital Information Systems - organization & administration Information Storage and Retrieval - methods Models, Organizational Natural Language Processing Operations Research Perioperative Care - organization & administration Systems Integration United States Workflow
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Zusammenfassung:	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.
ISSN:	1559-4076