Abstract
Healthcare decision-making for complex and chronic diseases, including cancer, is a systems engineering problem. Interventions used to treat these medical conditions frequently require the coordination of multiple specialty entities that define available action space. At the same time, considerations for the preferences of patients in a shared decision-making environment introduce alternatives that magnify computational complexity. In this research, we employ multidisciplinary design optimization (MDO) to address an emerging healthcare issue—human papillomavirus (HPV)-positive oropharyngeal cancer (OPC)—and evaluate the conformity of various interventions that may reduce treatment burden while pursuing patient longevity for this unique disease. An implementation of the proposed algorithm demonstrates behavior consistent with regret avoidance, while a more robust model will allow both patient-physician and healthcare system feedback in optimizing treatment policies.
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Abbreviations
- CES:
-
Complex engineered systems
- DA:
-
Decision aid
- DR:
-
Decision regret
- HNC:
-
Head and neck cancer
- HPV:
-
Human papillomavirus
- MDM:
-
Medical decision-making
- MDO:
-
Multidisciplinary design optimization
- OPC:
-
Oropharyngeal cancer
- QoL:
-
Quality of life
- SDM:
-
Shared decision-making
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Aarhus, R.T., Huang, E. (2019). A Proposed Application of Systems Engineering Principles to Healthcare Decision-Making: Evaluating Patient Decision Regret in the Treatment of Oropharyngeal Cancer. In: Adams, S., Beling, P., Lambert, J., Scherer, W., Fleming, C. (eds) Systems Engineering in Context. Springer, Cham. https://doi.org/10.1007/978-3-030-00114-8_17
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DOI: https://doi.org/10.1007/978-3-030-00114-8_17
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