Purpose: This study aimed to develop a question-answering chatbot that provides accurate and consistent answers to questions that may arise during the recovery process of patients with coronary artery disease after percutaneous coronary intervention, and to evaluate the chatbot. Methods: The chatbot was developed through the stages of analysis, design, implementation, and evaluation. It was evaluated by five experts, and the user experience was evaluated by 27 patients who underwent percutaneous coronary intervention. Furthermore, chatbot utilization was analyzed based on user experience logs. Results: The chatbot was constructed as a question-answering database that included three categories: coronary artery disease, percutaneous coronary intervention, and post-intervention management. The question-answering chatbot, referred to as the “Cardiovascular Strong” channel, has been launched and implemented. An expert evaluation of the chatbot revealed no usability issues or necessary modifications. The overall result of the user experience evaluation was 4.26 points. Based on the user experience log, the question-answer accuracy was 84.6%, and medications during post-intervention management were the most frequently searched topic, accounting for 110 cases (20.8%) out of a total of 528. Conclusion The chatbot that was developed to provide information via real-time answers to questions after the intervention can be easily accessed in clinical settings with no time or space constraints. It also will contribute to providing accurate disease-related information via the familiar KakaoTalk platform.

Purpose: This study aimed to develop a question-answering chatbot that provides accurate and consistent answers to questions that may arise during the recovery process of patients with coronary artery disease after percutaneous coronary intervention, and to evaluate the chatbot. Methods: The chatbot was developed through the stages of analysis, design, implementation, and evaluation. It was evaluated by five experts, and the user experience was evaluated by 27 patients who underwent percutaneous coronary intervention. Furthermore, chatbot utilization was analyzed based on user experience logs. Results: The chatbot was constructed as a question-answering database that included three categories: coronary artery disease, percutaneous coronary intervention, and post-intervention management. The question-answering chatbot, referred to as the “Cardiovascular Strong” channel, has been launched and implemented. An expert evaluation of the chatbot revealed no usability issues or necessary modifications. The overall result of the user experience evaluation was 4.26 points. Based on the user experience log, the question-answer accuracy was 84.6%, and medications during post-intervention management were the most frequently searched topic, accounting for 110 cases (20.8%) out of a total of 528. Conclusion The chatbot that was developed to provide information via real-time answers to questions after the intervention can be easily accessed in clinical settings with no time or space constraints. It also will contribute to providing accurate disease-related information via the familiar KakaoTalk platform.

Purpose: This study aimed to develop a question-answering chatbot that provides accurate and consistent answers to questions that may arise during the recovery process of patients with coronary artery disease after percutaneous coronary intervention, and to evaluate the chatbot. Methods: The chatbot was developed through the stages of analysis, design, implementation, and evaluation. It was evaluated by five experts, and the user experience was evaluated by 27 patients who underwent percutaneous coronary intervention. Furthermore, chatbot utilization was analyzed based on user experience logs. Results: The chatbot was constructed as a question-answering database that included three categories: coronary artery disease, percutaneous coronary intervention, and post-intervention management. The question-answering chatbot, referred to as the “Cardiovascular Strong” channel, has been launched and implemented. An expert evaluation of the chatbot revealed no usability issues or necessary modifications. The overall result of the user experience evaluation was 4.26 points. Based on the user experience log, the question-answer accuracy was 84.6%, and medications during post-intervention management were the most frequently searched topic, accounting for 110 cases (20.8%) out of a total of 528. Conclusion The chatbot that was developed to provide information via real-time answers to questions after the intervention can be easily accessed in clinical settings with no time or space constraints. It also will contribute to providing accurate disease-related information via the familiar KakaoTalk platform.

Purpose: This study aimed to develop a question-answering chatbot that provides accurate and consistent answers to questions that may arise during the recovery process of patients with coronary artery disease after percutaneous coronary intervention, and to evaluate the chatbot. Methods: The chatbot was developed through the stages of analysis, design, implementation, and evaluation. It was evaluated by five experts, and the user experience was evaluated by 27 patients who underwent percutaneous coronary intervention. Furthermore, chatbot utilization was analyzed based on user experience logs. Results: The chatbot was constructed as a question-answering database that included three categories: coronary artery disease, percutaneous coronary intervention, and post-intervention management. The question-answering chatbot, referred to as the “Cardiovascular Strong” channel, has been launched and implemented. An expert evaluation of the chatbot revealed no usability issues or necessary modifications. The overall result of the user experience evaluation was 4.26 points. Based on the user experience log, the question-answer accuracy was 84.6%, and medications during post-intervention management were the most frequently searched topic, accounting for 110 cases (20.8%) out of a total of 528. Conclusion The chatbot that was developed to provide information via real-time answers to questions after the intervention can be easily accessed in clinical settings with no time or space constraints. It also will contribute to providing accurate disease-related information via the familiar KakaoTalk platform.