On Bayesian Logic, Shared Decision-Making, and Decisional Tools
Electronic Theses and Dissertations
Item Files
Item Details
- title
- On Bayesian Logic, Shared Decision-Making, and Decisional Tools
- author
- Hrabovsky, Ryan Matthew
- abstract
- In this thesis, I propose a new tool for clinicians and patients to use during the shared decision-making process to assist both parties in choosing the patient's medical intervention. I begin by exploring the shared decision-making process, covering its history, and essential elements. Following that, I offer an analysis of decisional logic systems, focusing specifically on Bayesian logic. I demonstrate how Bayesian logic can be used to determine how well one’s preferences and values align with a probability of outcome overall. From this, I provide an examination of patient decision aids, which are tools that have been proposed to supplement the clinical encounter, and I reveal why these tools pose a great risk of obstructing the shared decision-making process. I then propose a new tool to use in the clinical encounter and defend it against potential critiques. I conclude that the tools I offer are likely to be beneficial to the shared decision-making process.
- subject
- Autonomy
- Bioethics
- Consent
- Decision-making
- Ethics
- Logic
- contributor
- King, Nancy M.P. (advisor)
- Iltis, Ana S. (committee member)
- Colgrove, Nicholas (committee member)
- date
- 2023-07-25T17:48:28Z (accessioned)
- 2023-07-25T17:48:28Z (available)
- 2023 (issued)
- degree
- Bioethics (discipline)
- identifier
- http://hdl.handle.net/10339/102222 (uri)
- language
- en (iso)
- publisher
- Wake Forest University
- type
- Thesis