Date of Conferral
2023
Degree
Doctor of Business Administration (D.B.A.)
School
Business Administration
Advisor
Dina Samora
Abstract
Artificial intelligence (AI)-based medical device technologies can aid medical professionals in delivering faster and more accurate treatment, but health care leaders are concerned with eliminating challenges that impede implementation. Grounded in the technology-organization-environment and technology acceptance models, the purpose of this qualitative multi-case study was to explore strategies health care leaders in Nigeria use to obtain, adopt, and implement AI-based medical device technologies. The participants were 11 health care leaders in Nigeria who successfully implemented AI-based medical device technologies in their hospitals. Data were collected using semi-structured interviews and the review of organizational documents. Through thematic analysis, five themes were identified: (a) implementation strategies, (b) barriers to implementation, (c) factors influencing the adoption of the technologies, (d) improvement in the health care system, and (e) infrastructure and equipment. A key recommendation is for healthcare leaders to ensure financing is in place before any meaningful advanced medical device projects could be accomplished. The implications for positive social change include the potential to provide the communities with enhanced care using the monitoring and predictive features of AI-based medical devices and improving patient-centered health quality care.
Recommended Citation
Iheme, Oliver Chikaodinaka, "Artificial Intelligence-Based Medical Device Technologies Implementation Strategies in the Nigerian Health Care Industry" (2023). Walden Dissertations and Doctoral Studies. 11717.
https://scholarworks.waldenu.edu/dissertations/11717
