Mark W Isken

Summary

Affiliation: Oakland University
Country: USA

Publications

  1. ncbi request reprint Hillmaker: an open source occupancy analysis tool
    Mark W Isken
    School of Business Administration, Department of Decision and Information Sciences, Oakland University, MI 48309, USA
    Clin Invest Med 28:342-3. 2005
  2. ncbi request reprint Simulation analysis of pneumatic tube systems
    Mark W Isken
    School of Business Administration, Oakland University, Rochester, Michigan, USA
    J Med Syst 26:9-19. 2002
  3. ncbi request reprint Data mining to support simulation modeling of patient flow in hospitals
    Mark W Isken
    Department of Decision and Information Sciences, School of Business Administration, Oakland University, Rochester, Michigan 48309, USA
    J Med Syst 26:179-97. 2002
  4. ncbi request reprint Collection and preparation of sensor network data to support modeling and analysis of outpatient clinics
    Mark W Isken
    Department of Decision and Information Sciences, School of Business Administration, Oakland University, Rochester, MI 48309, USA
    Health Care Manag Sci 8:87-99. 2005
  5. doi request reprint An open source software project for obstetrical procedure scheduling and occupancy analysis
    Mark W Isken
    School of Business Administration, Oakland University, Rochester, MI, USA
    Health Care Manag Sci 14:56-73. 2011
  6. ncbi request reprint Short term hospital occupancy prediction
    Steven J Littig
    Improvement Path Systems, Inc, Farmington Hills, MI, USA
    Health Care Manag Sci 10:47-66. 2007

Collaborators

Detail Information

Publications6

  1. ncbi request reprint Hillmaker: an open source occupancy analysis tool
    Mark W Isken
    School of Business Administration, Department of Decision and Information Sciences, Oakland University, MI 48309, USA
    Clin Invest Med 28:342-3. 2005
    ..We describe an occupancy analysis tool called Hillmaker which has been used in numerous healthcare operations studies. It is being released as a free and open source software project...
  2. ncbi request reprint Simulation analysis of pneumatic tube systems
    Mark W Isken
    School of Business Administration, Oakland University, Rochester, Michigan, USA
    J Med Syst 26:9-19. 2002
    ..Our general approach can be generalized to other computer controlled hospital operational systems such as elevators, track vehicles, automatic guided vehicles, workflow enabled processes, and laboratory automation systems...
  3. ncbi request reprint Data mining to support simulation modeling of patient flow in hospitals
    Mark W Isken
    Department of Decision and Information Sciences, School of Business Administration, Oakland University, Rochester, Michigan 48309, USA
    J Med Syst 26:179-97. 2002
    ..Using data from a hospital in the Midwest this study brings forth several important issues that researchers need to address when applying clustering techniques in general and specifically to hospital data...
  4. ncbi request reprint Collection and preparation of sensor network data to support modeling and analysis of outpatient clinics
    Mark W Isken
    Department of Decision and Information Sciences, School of Business Administration, Oakland University, Rochester, MI 48309, USA
    Health Care Manag Sci 8:87-99. 2005
    ..Several examples of the analysis of sensor network data are also presented. Our approach has been used in two large outpatient clinics in the United States...
  5. doi request reprint An open source software project for obstetrical procedure scheduling and occupancy analysis
    Mark W Isken
    School of Business Administration, Oakland University, Rochester, MI, USA
    Health Care Manag Sci 14:56-73. 2011
    ..In the development of these models, we made heavy use of open source software tools and have released the entire project as a free and open source model and software toolkit...
  6. ncbi request reprint Short term hospital occupancy prediction
    Steven J Littig
    Improvement Path Systems, Inc, Farmington Hills, MI, USA
    Health Care Manag Sci 10:47-66. 2007
    ..The results and accuracy of this new model is compared to a variety of other predictive methods based on tests using 2 years of actual hospital data...