Literature DB >> 15648564

Using models and data to support optimization of the Military Health System: a case study in an intensive care unit.

Brian J Masterson1, Thomas G Mihara, George Miller, Stephen C Randolph, M Emma Forkner, Andrew L Crouter.   

Abstract

Optimizing healthcare delivery--improving processes to reduce impediments to care--is an important goal of the Military Health System. Models and data can be effective tools to assist managers in achieving this goal. This paper illustrates this utility with a case study of the intensive care unit (ICU) at the US Air Force's Wilford Hall Medical Center. A discrete-event simulation demonstrates how the integration of corporate data and ICU data through a model can help identify changes intended to improve ICU performance. Results of the analysis describe impacts of ICU size and bed mix, operating policies, and the deployment of ICU staff on measures of occupancy, congestion, and physician training needs.

Mesh:

Year:  2004        PMID: 15648564     DOI: 10.1023/b:hcms.0000039384.92373.c4

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  3 in total

1.  An application of simulation modeling to surgical intensive care bed need analysis in a university hospital.

Authors:  F Zilm; R B Hollis
Journal:  Hosp Health Serv Adm       Date:  1983 Sep-Oct

2.  Modeling intensive care unit census.

Authors:  J M Lamiell
Journal:  Mil Med       Date:  1995-05       Impact factor: 1.437

3.  How many intensive care beds are enough?

Authors:  S V Williams
Journal:  Crit Care Med       Date:  1983-06       Impact factor: 7.598

  3 in total
  2 in total

Review 1.  Operations research in intensive care unit management: a literature review.

Authors:  Jie Bai; Andreas Fügener; Jan Schoenfelder; Jens O Brunner
Journal:  Health Care Manag Sci       Date:  2016-08-12

Review 2.  Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review.

Authors:  Jesús Isaac Vázquez-Serrano; Rodrigo E Peimbert-García; Leopoldo Eduardo Cárdenas-Barrón
Journal:  Int J Environ Res Public Health       Date:  2021-11-22       Impact factor: 3.390

  2 in total

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