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What is Health Information Privacy

Chapter 8
Revolutionizing the Service Industry With OpenAI Models
Involves safeguarding individuals' personal and health-related data (Hodge, 2003 AU97: The in-text citation "Hodge, 2003" is not in the reference list. Please correct the citation, add the reference to the list, or delete the citation. ; Zhang et al., 2018 ). In the context of using ChatGPT in health services, maintaining privacy is crucial to ensure the confidentiality and security of sensitive health information shared during conversations.
Published in Chapter:
Examining the Task - Technology Fit of ChatGPT for Healthcare Services
Eli Fianu (Ghana Technology University College, Ghana), Fred Amankwah-Sarfo (Ghana Communication Technology University, Ghana), and Margaret Ofori (University of Health and Allied Sciences, Ghana)
Copyright: © 2024 |Pages: 27
DOI: 10.4018/979-8-3693-1239-1.ch008
Abstract
The study sought to examine the task-technology fit of ChatGPT for healthcare services. The research model was based on an integration of the task-technology fit (TTF) model and the technology acceptance model 2 (TAM2). The study used a quantitative research design. Data were collected from 265 health workers who have used ChatGPT in the performance of their work. Data analysis was done using structural equation modelling. Six of the seven hypotheses were accepted. The results show significant positive relationships between task characteristics and task-technology fit, task-technology fit and ChatGPT usage, ChatGPT usage and performance impacts, social influence and perceived usefulness, perceived usefulness and usage intention, as well as usage intention and ChatGPT usage. There was an insignificant positive relationship between task-technology fit and performance impacts.
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