Leveraging an existing data warehouse to annotate workflow models for operations research and optimization.

Tara Borlawsky; Jeanne LaFountain; Lynda Petty; Joel H. Saltz; Philip R.O. Payne

Leveraging an existing data warehouse to annotate workflow models for operations research and optimization.

Tara Borlawsky, Jeanne LaFountain, Lynda Petty, Joel H. Saltz, Philip R.O. Payne

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Number of pages	1
Journal	AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
State	Published - 2008

Cite this

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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.",

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AU - Saltz, Joel H.

AU - Payne, Philip R.O.

PY - 2008

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AB - 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.

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AN - SCOPUS:73949087579

SN - 1559-4076

JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

ER -

Leveraging an existing data warehouse to annotate workflow models for operations research and optimization.

Abstract

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