DOI

https://doi.org/10.25772/RNR8-0931

Defense Date

2023

Document Type

Dissertation

Degree Name

Doctor of Philosophy

Department

Business

First Advisor

Victoria Yoon

Second Advisor

Yeongin Kim

Third Advisor

Seong Byun

Fourth Advisor

Geng Sun

Abstract

Artificial Intelligence (AI) is a technology that has provided innovative solutions to many business problems that were conventionally too complex to resolve efficiently. However, although proven valid, the healthcare industry has avoided using AI-based technology despite being an early innovator. Despite mixed views toward AI within the healthcare community, care providers now seriously consider adopting AI since current user trends showcasean increased interest in patient self-care and patient-generated health data often powered by AI services. Physicians also adopt AI in their clinical practice, such as in Anesthesia, Radiology, and Psychiatry. The introduction of AI in healthcare causes undesirable behavioral shifts in care delivery due to concerns about lack of empathy, fear of losing control and autonomy, AI distrust, privacy matters, accountability, and medical fraud. Therefore, this study focuses primarily on examining the different aspects of Artificial Intelligence (AI) in healthcare using various research methodologies, including design science, quantitative modeling, qualitative theory building, and analytical modeling, to conduct this research. To this end, this dissertation consists of three essays. First, we develop and analyze the behavioral impact of AI capable of simulating empathy and analyzing its user behavioral impact. Second, we further build theory to understand latent physician perceptions that drive their intentional behavior toward AI. The third essay will model physician decision choices after adopting AI-generated health data during care delivery. This research will provide insights to aid in the better integration and overall improvement of AI-related healthcare delivery.

Rights

© Abraham Sen

Is Part Of

VCU University Archives

Is Part Of

VCU Theses and Dissertations

Date of Submission

7-31-2023

Available for download on Saturday, July 29, 2028

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