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Award Abstract #1258323

CAREER: Optimization of Screening and Treatment Delivery Systems for Chronic Diseases

NSF Org: CMMI
Div Of Civil, Mechanical, & Manufact Inn
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Initial Amendment Date: September 18, 2012
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Latest Amendment Date: September 18, 2012
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Award Number: 1258323
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Award Instrument: Standard Grant
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Program Manager: Massimo Ruzzene
CMMI Div Of Civil, Mechanical, & Manufact Inn
ENG Directorate For Engineering
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Start Date: June 30, 2012
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End Date: December 31, 2014 (Estimated)
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Awarded Amount to Date: $314,474.00
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Investigator(s): Brian Denton btdenton@umich.edu (Principal Investigator)
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Sponsor: University of Michigan Ann Arbor
3003 South State St. Room 1062
Ann Arbor, MI 48109-1274 (734)763-6438
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NSF Program(s): SERVICE ENTERPRISE SYSTEMS
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Program Reference Code(s): 076E, 078E, 1045, 116E, 1187, 8023, 9147, 9178, 9231, 9251, MANU
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Program Element Code(s): 1787

ABSTRACT

The research objective of this Faculty Early Career Development (CAREER) project is to develop new operations research (OR) models and methods to advance the science of health care delivery for life-threatening chronic diseases such as cancer, diabetes, and cardiovascular disease. Recent advances in medical treatment have resulted in a longer lifespan for many Americans. At the same time the patient population is growing more complex, with multiple chronic diseases, competing risks of health complications, and medication conflicts. As a result, medical decisions are becoming harder because what helps one patient or condition may harm another. Chronic disease screening and medical treatment decisions combine large state spaces that define patient health characteristics, such as clinical risk factors and medication histories, with uncertainty in future health outcomes due to differences among patients in genetic, environmental, and other factors. Decisions about treatment and screening take place over long periods (sometimes decades) under constraints due to medication conflicts. As a result, the stochastic and sequential decision making process gives rise to computational optimization problems that are often unsolvable with state-of-the-art algorithms and computing resources. However, these problems have promising structural properties that can be exploited to achieve meaningful theoretical insights and computationally tractable stochastic optimization methods.

Advancing the understanding of chronic care delivery has the potential to improve the quality of life for a large and growing proportion of the US population. The translation of discoveries based on this research has the potential to improve the efficiency and effectiveness of national screening and treatment policies. Results of this research will be disseminated to the medical community, the engineering research community, and incorporated into educational materials ranging from high school to doctoral studies.


PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Berg, B., Denton, B.T., Nelson, H., Balasubramanian, H., Rahman, A., Bailey, A., Lindor, K.. "A Computer Simulation Model to Evaluate Operational Performance of a Colonoscopy," Medical Decision Making, v.30, 2010. 

Kurt, M., Denotn, B.T., Schaefer, A., Shah, N., Smith, S.. "The Structure of Optimal Statin Initiation Policies for Patients with Type 2 Diabetes," IIE Transaction on Healthcare Engineering, v.1, 2011. 

Shah, N.D., Mason, J., Kurt, M., Denton, B.T., Huschka, T.R., Smith, S.A. "Comparative Effectiveness of Guidelines for the Management of Hyperlipidemia and Hypertension for Type 2 Diabetes Patients," Plos ONE, v.6, 2011. 

Mason, J., England, D., Denton, B.T., Smith, S. Kurt, M, Shah, N.. "Optimal Statin Treatment Decisions for Dibaetes Patients in the Presence of Uncertain Future Adherence," Medical Decision Making, v.31, 2011. 

Zhang, J., Denton, B.T., Balasubramanian, H., Inman, B., Shah, N.. "Optimization of PSA Screening Policies: A Comparison of the Patient and Societal Perspectives," Medical Decision Making, 2011. 

Erdogan, S.A., Denton, B.T.. "Dynamic Appointment Scheduling with Uncertain Demand," INFORMS Journal on Computing, 2012. 

Denton. B.T., Oguzhan, A., Holder, A., Lee, E.. "Open Challenges in Medical Decision Making," IIE Transactions on Healthcare Engineering, v.1, 2011. 

Zhang, J., Denton, B.T., Balasubramanian, H., Inman, B., Shah, N.. "Optimization of Prostate Biopsy Decisions," Manufacturing and Service Operations Management, 2012. 

Underwood, D., Zhang, J., Denton, B.T., Shah, N., Inman, B.. "Simulation Optimization of PSA-Threshold Based Prostate Cancer Screening Policies," Health Care Management Science, 2012. 

Erdogan, S.A., Denton, B.T.. "Dynamic Appointment Scheduling with Uncertain Demand," INFORMS Journal on Computing, v.25, 2013, p. 116.


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BOOKS/ONE TIME PROCEEDING

Berg, B, Denton, B.T.. "Appointment Scheduling in Outpatient Procedure Centers", 01/01/2012-12/31/2012, , Randolph Hall"Springer
Handbook of Healthcare System Scheduling
"
,  2011, "Book Chapter in Springer Book Titled: Healthcare System Scheduling: Delivering Care When and Where It is Needed".

Zhang, J., Mason, J., Denton, B.T., Pierskalla, W.. "Applications of Operations Research to the Prevention,
Detection, and Treatment of Disease
", 01/01/2012-12/31/2012, , Saul Gass and Michael Fu"Encyclopedia of Operations Research and Management Science, 3rd Edition",  2011, "Book chapter published in Srpinger book titled: Encyclopedia of Operations Research and Management Science, 3rd Edition".

 

Please report errors in award information by writing to: awardsearch@nsf.gov.

 

 

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