Artificial Intelligence Chatbot to Improve Hospital Care Process

Dylan Valdivia-Matta, Michael Cabanillas-Carbonell

Research output: Contribution to journalArticlepeer-review

Abstract

Hospital care affects numerous people globally every day. It is a process that not all people can easily receive, especially in rural areas, and it critically impacts their health. This study aimed to develop a chatbot prototype with Artificial Intelligence (AI) to improve the hospital care process. The methodology applied was the agile Scrum methodology. This methodology focuses on staged development to improve software procedures. It provides speed in adaptation, flexibility, quality, and continuous improvement. This methodology focuses on step-by-step development to improve software procedures. It provides rapid adaptation, flexibility, quality, and continuous improvement. As a result, a chatbot prototype with Artificial Intelligence was obtained, whose quality was evaluated by experts who assessed the criteria of usability, design, functionality, efficiency, and security, assigning ratings of 4.87, 4.88, 4.77, 4.76, and 4.68, respectively; and obtaining an average of 4.80 on a Likert scale; these values indicate that the prototype meets high-quality standards. In conclusion, this study succeeded in developing an effective prototype to improve hospital care by incorporating features such as chat consultations to facilitate immediate interaction between doctors and patients, access to hospital services for patients from any location, as well as visualization of clinical history to improve the user experience.

Original languageEnglish
Pages (from-to)61-69
Number of pages9
JournalInternational Journal of Engineering Trends and Technology
Volume72
Issue number11
DOIs
StatePublished - Nov 2024

Keywords

  • Artificial Intelligence
  • Chatbot
  • Hospital care
  • Mobile application
  • Scrum

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