Enhancing Kidney Transplant Care through the Integration of Chatbot
Kidney transplantation is a critical treatment option for end-stage kidney disease patients, offering improved quality of life and increased survival rates. However, the complexities of kidney transplant care necessitate continuous advancements in decision making, patient communication, and operatio...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Healthcare |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9032/11/18/2518 |
| _version_ | 1797579873406943232 |
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| author | Oscar A. Garcia Valencia Charat Thongprayoon Caroline C. Jadlowiec Shennen A. Mao Jing Miao Wisit Cheungpasitporn |
| author_facet | Oscar A. Garcia Valencia Charat Thongprayoon Caroline C. Jadlowiec Shennen A. Mao Jing Miao Wisit Cheungpasitporn |
| author_sort | Oscar A. Garcia Valencia |
| collection | DOAJ |
| description | Kidney transplantation is a critical treatment option for end-stage kidney disease patients, offering improved quality of life and increased survival rates. However, the complexities of kidney transplant care necessitate continuous advancements in decision making, patient communication, and operational efficiency. This article explores the potential integration of a sophisticated chatbot, an AI-powered conversational agent, to enhance kidney transplant practice and potentially improve patient outcomes. Chatbots and generative AI have shown promising applications in various domains, including healthcare, by simulating human-like interactions and generating contextually appropriate responses. Noteworthy AI models like ChatGPT by OpenAI, BingChat by Microsoft, and Bard AI by Google exhibit significant potential in supporting evidence-based research and healthcare decision making. The integration of chatbots in kidney transplant care may offer transformative possibilities. As a clinical decision support tool, it could provide healthcare professionals with real-time access to medical literature and guidelines, potentially enabling informed decision making and improved knowledge dissemination. Additionally, the chatbot has the potential to facilitate patient education by offering personalized and understandable information, addressing queries, and providing guidance on post-transplant care. Furthermore, under clinician or transplant pharmacist supervision, it has the potential to support post-transplant care and medication management by analyzing patient data, which may lead to tailored recommendations on dosages, monitoring schedules, and potential drug interactions. However, to fully ascertain its effectiveness and safety in these roles, further studies and validation are required. Its integration with existing clinical decision support systems may enhance risk stratification and treatment planning, contributing to more informed and efficient decision making in kidney transplant care. Given the importance of ethical considerations and bias mitigation in AI integration, future studies may evaluate long-term patient outcomes, cost-effectiveness, user experience, and the generalizability of chatbot recommendations. By addressing these factors and potentially leveraging AI capabilities, the integration of chatbots in kidney transplant care holds promise for potentially improving patient outcomes, enhancing decision making, and fostering the equitable and responsible use of AI in healthcare. |
| first_indexed | 2024-03-10T22:42:07Z |
| format | Article |
| id | doaj.art-3fb3a29cd24d471ead33a5602c984da5 |
| institution | Directory Open Access Journal |
| issn | 2227-9032 |
| language | English |
| last_indexed | 2024-03-10T22:42:07Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Healthcare |
| spelling | doaj.art-3fb3a29cd24d471ead33a5602c984da52023-11-19T10:56:04ZengMDPI AGHealthcare2227-90322023-09-011118251810.3390/healthcare11182518Enhancing Kidney Transplant Care through the Integration of ChatbotOscar A. Garcia Valencia0Charat Thongprayoon1Caroline C. Jadlowiec2Shennen A. Mao3Jing Miao4Wisit Cheungpasitporn5Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USADivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USADivision of Transplant Surgery, Department of Surgery, Mayo Clinic, Phoenix, AZ 85054, USADivision of Transplant Surgery, Department of Transplantation, Mayo Clinic, Jacksonville, FL 32224, USADivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USADivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USAKidney transplantation is a critical treatment option for end-stage kidney disease patients, offering improved quality of life and increased survival rates. However, the complexities of kidney transplant care necessitate continuous advancements in decision making, patient communication, and operational efficiency. This article explores the potential integration of a sophisticated chatbot, an AI-powered conversational agent, to enhance kidney transplant practice and potentially improve patient outcomes. Chatbots and generative AI have shown promising applications in various domains, including healthcare, by simulating human-like interactions and generating contextually appropriate responses. Noteworthy AI models like ChatGPT by OpenAI, BingChat by Microsoft, and Bard AI by Google exhibit significant potential in supporting evidence-based research and healthcare decision making. The integration of chatbots in kidney transplant care may offer transformative possibilities. As a clinical decision support tool, it could provide healthcare professionals with real-time access to medical literature and guidelines, potentially enabling informed decision making and improved knowledge dissemination. Additionally, the chatbot has the potential to facilitate patient education by offering personalized and understandable information, addressing queries, and providing guidance on post-transplant care. Furthermore, under clinician or transplant pharmacist supervision, it has the potential to support post-transplant care and medication management by analyzing patient data, which may lead to tailored recommendations on dosages, monitoring schedules, and potential drug interactions. However, to fully ascertain its effectiveness and safety in these roles, further studies and validation are required. Its integration with existing clinical decision support systems may enhance risk stratification and treatment planning, contributing to more informed and efficient decision making in kidney transplant care. Given the importance of ethical considerations and bias mitigation in AI integration, future studies may evaluate long-term patient outcomes, cost-effectiveness, user experience, and the generalizability of chatbot recommendations. By addressing these factors and potentially leveraging AI capabilities, the integration of chatbots in kidney transplant care holds promise for potentially improving patient outcomes, enhancing decision making, and fostering the equitable and responsible use of AI in healthcare.https://www.mdpi.com/2227-9032/11/18/2518kidney transplantationend-stage kidney diseasepatient outcomesAI-powered chatbotdecision makingpatient communication |
| spellingShingle | Oscar A. Garcia Valencia Charat Thongprayoon Caroline C. Jadlowiec Shennen A. Mao Jing Miao Wisit Cheungpasitporn Enhancing Kidney Transplant Care through the Integration of Chatbot Healthcare kidney transplantation end-stage kidney disease patient outcomes AI-powered chatbot decision making patient communication |
| title | Enhancing Kidney Transplant Care through the Integration of Chatbot |
| title_full | Enhancing Kidney Transplant Care through the Integration of Chatbot |
| title_fullStr | Enhancing Kidney Transplant Care through the Integration of Chatbot |
| title_full_unstemmed | Enhancing Kidney Transplant Care through the Integration of Chatbot |
| title_short | Enhancing Kidney Transplant Care through the Integration of Chatbot |
| title_sort | enhancing kidney transplant care through the integration of chatbot |
| topic | kidney transplantation end-stage kidney disease patient outcomes AI-powered chatbot decision making patient communication |
| url | https://www.mdpi.com/2227-9032/11/18/2518 |
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