In the evolving field of healthcare technology, the use of artificial intelligence (AI) chatbots has attracted attention. Medical practice administrators, owners, and IT managers in the United States can see benefits from these technologies, including increased efficiency and improved communication with patients. User satisfaction is key to the effectiveness and continued use of AI chatbots. This article looks at the relationship between user satisfaction, hedonic and utilitarian values, and the adoption of AI chatbots for health information.
AI chatbots, including those powered by technologies like CHATGPT, facilitate communication between patients and healthcare providers. They provide accurate health-related information in a user-friendly way. Chatbots can help with appointment scheduling, answer common questions, and offer resources tailored to individual needs. This automation eases the workload on administrative staff and allows healthcare providers to focus on more complex issues.
As chatbots become more integrated into healthcare systems, administrators should understand how user satisfaction affects their success. The insights discussed here come from research conducted with 231 respondents in the U.S., focusing on factors that drive user satisfaction.
User satisfaction with AI chatbots is influenced by two main dimensions: hedonic and utilitarian values.
Utilitarian values relate to the practical benefits of using chatbots. These include factors like:
Hedonic values are more subjective and focus on the emotional aspects of the interaction. These include:
Both utilitarian and hedonic values are important for creating a chatbot that users will consistently rely on for health information.
Research shows that user satisfaction acts as a mediator between perceived utility (hedonic and utilitarian values) and the intention to use AI chatbots. High functional value alone does not guarantee ongoing engagement; satisfaction with prior interactions is key.
For administrators, understanding this relationship is important. If user satisfaction is consistently met, users are more likely to return to the chatbot. If the experience is unsatisfactory, future usage diminishes.
Several factors are important for user satisfaction with AI chatbots in healthcare:
Adopting AI chatbots can reduce administrative burdens and streamline workflows in medical practices. Chatbots can help automate appointment scheduling, patient follow-ups, and pre-visit questionnaires. This allows staff to concentrate more on patient care, leading to higher patient satisfaction.
Chatbots improve communication between patients and providers. Patients can access reliable health information anytime, without needing a visit or call. This is especially useful for non-emergency situations when patients have questions about medications or symptoms.
Implementing feedback loops through AI chatbots helps collect patient satisfaction metrics in real-time. For instance, after interactions, patients can be prompted to rate their experience. This feedback can guide future improvements and identify strengths and weaknesses of the chatbot.
The research findings have practical implications for healthcare stakeholders:
The healthcare industry is increasingly adopting digital solutions, and AI chatbots offer an opportunity for better health information delivery. Recognizing the relationship between user satisfaction, hedonic and utilitarian values can influence the success of these initiatives. By focusing on the practical benefits of AI chatbots and providing engaging user experiences, medical practice administrators can improve patient communication and streamline workflows. Satisfied users contribute to the overall goals of healthcare efficiency and effectiveness.
AI chatbots, like CHATGPT, are used to provide health-related information online, enhancing patient-provider communication and transforming healthcare practices.
Hedonic and utilitarian values significantly influence user satisfaction; utilitarian aspects involve functional benefits, while hedonic aspects focus on emotional engagement.
Factors include ease of use, accuracy, relevance, emotional impact, and user engagement.
Higher user satisfaction drives the intention to reuse chatbots and adhere to health advice given by them.
Satisfaction acts as a mediator between perceived value and desired use behavior, elucidating user engagement mechanisms.
Improving chatbot design to align with user preferences can enhance continuous use and adoption of AI for health information.
The study employed a quantitative approach using structural equation modeling on survey data from 231 respondents.
The study provides insights into enhancing AI chatbot design to meet users’ functional and emotional needs, promoting effective healthcare communication.
Emotional impacts related to enjoyment and engagement significantly enhance user satisfaction, encouraging continued use of AI chatbots.
Timeliness contributes to utilitarian value by ensuring information provided by chatbots is relevant and actionable for users seeking health advice.