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

Biomedical Informatics

Ohio State University

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

2 Scopus citations

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
Pages (from-to)	885
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 - Borlawsky, Tara

AU - LaFountain, Jeanne

AU - Petty, Lynda

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.

UR - https://www.scopus.com/pages/publications/73949087579

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AN - SCOPUS:73949087579

SN - 1942-597X

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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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