Navigating pancreas transplant perceptions: assessing public sentiment and strategies using AI-driven analysis
BackgroundPancreas transplantation, a crucial treatment for diabetes, is underutilized due to its invasiveness, strict criteria, organ scarcity, and limited centers. This highlights the need for enhanced public education and awareness through digital health platforms.MethodsWe utilized Google's...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-11-01
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| Series: | Frontiers in Digital Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fdgth.2024.1453341/full |
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| author | Oscar A. Garcia Valencia Charat Thongprayoon Caroline C. Jadlowiec Shennen A. Mao Jing Miao Napat Leeaphorn Supawadee Suppadungsuk Supawadee Suppadungsuk Eva Csongradi Pooja Budhiraja Nadeen Khoury Pradeep Vaitla Wisit Cheungpasitporn |
| author_facet | Oscar A. Garcia Valencia Charat Thongprayoon Caroline C. Jadlowiec Shennen A. Mao Jing Miao Napat Leeaphorn Supawadee Suppadungsuk Supawadee Suppadungsuk Eva Csongradi Pooja Budhiraja Nadeen Khoury Pradeep Vaitla Wisit Cheungpasitporn |
| author_sort | Oscar A. Garcia Valencia |
| collection | DOAJ |
| description | BackgroundPancreas transplantation, a crucial treatment for diabetes, is underutilized due to its invasiveness, strict criteria, organ scarcity, and limited centers. This highlights the need for enhanced public education and awareness through digital health platforms.MethodsWe utilized Google's AI-driven, consensus-based model and Claude AI 3.0 Opus by Anthropic to analyze public perceptions of pancreas transplantation. The top 10 websites identified by Google as of April-May 2024 were reviewed, focusing on sentiment, consensus, content readability, and complexity to develop strategies for better public engagement and understanding using digital health technologies.ResultsThe top 10 websites, originating from the US and UK, showed a neutral and professional tone, targeting medical professionals and patients. Complex content was updated between 2021 and 2024, with a readability level suitable for high school to early college students. AI-driven analysis revealed strategies to increase public interest and understanding, including incorporating patient stories, simplifying medical jargon, utilizing visual aids, emphasizing quality of life improvements, showcasing research progress, facilitating patient outreach, promoting community engagement, partnering with influencers, and regularly updating content through digital health platforms.ConclusionTo increase interest in pancreas transplantation in the era of connected health, we recommend integrating real patient experiences, simplifying medical content, using visual explanations, emphasizing post-transplant quality-of-life improvements, highlighting recent research, providing outreach opportunities, encouraging community connections, partnering with influencers, and keeping information current through digital health technologies. These methods aim to make pancreas transplantation more accessible and motivating for a diverse audience, supporting informed decision-making. |
| format | Article |
| id | doaj-art-4a98c86df3b24bef9b2e662f2cf75a95 |
| institution | DOAJ |
| issn | 2673-253X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Digital Health |
| spelling | doaj-art-4a98c86df3b24bef9b2e662f2cf75a952025-08-20T02:49:05ZengFrontiers Media S.A.Frontiers in Digital Health2673-253X2024-11-01610.3389/fdgth.2024.14533411453341Navigating pancreas transplant perceptions: assessing public sentiment and strategies using AI-driven analysisOscar A. Garcia Valencia0Charat Thongprayoon1Caroline C. Jadlowiec2Shennen A. Mao3Jing Miao4Napat Leeaphorn5Supawadee Suppadungsuk6Supawadee Suppadungsuk7Eva Csongradi8Pooja Budhiraja9Nadeen Khoury10Pradeep Vaitla11Wisit Cheungpasitporn12Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, United StatesDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, United StatesDivision of Transplant Surgery, Department of Surgery, Mayo Clinic, Phoenix, AZ, United StatesDepartment of Transplant Surgery, Mayo Clinic, Jacksonville, FL, United StatesDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, United StatesDepartment of Transplant Surgery, Mayo Clinic, Jacksonville, FL, United StatesDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, United StatesFaculty of Medicine Ramathibodi Hospital, Chakri Naruebodindra Medical Institute, Mahidol University, Samut Prakan, ThailandFaculty of Medicine, University of Debrecen, Debrecen, HungaryDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Phoenix, AZ, United StatesDivision of Nephrology, Henry Ford Hospital, Detroit, MI, United StatesDivision of Nephrology, University of Mississippi Medical Center, Jackson, MS, United StatesDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, United StatesBackgroundPancreas transplantation, a crucial treatment for diabetes, is underutilized due to its invasiveness, strict criteria, organ scarcity, and limited centers. This highlights the need for enhanced public education and awareness through digital health platforms.MethodsWe utilized Google's AI-driven, consensus-based model and Claude AI 3.0 Opus by Anthropic to analyze public perceptions of pancreas transplantation. The top 10 websites identified by Google as of April-May 2024 were reviewed, focusing on sentiment, consensus, content readability, and complexity to develop strategies for better public engagement and understanding using digital health technologies.ResultsThe top 10 websites, originating from the US and UK, showed a neutral and professional tone, targeting medical professionals and patients. Complex content was updated between 2021 and 2024, with a readability level suitable for high school to early college students. AI-driven analysis revealed strategies to increase public interest and understanding, including incorporating patient stories, simplifying medical jargon, utilizing visual aids, emphasizing quality of life improvements, showcasing research progress, facilitating patient outreach, promoting community engagement, partnering with influencers, and regularly updating content through digital health platforms.ConclusionTo increase interest in pancreas transplantation in the era of connected health, we recommend integrating real patient experiences, simplifying medical content, using visual explanations, emphasizing post-transplant quality-of-life improvements, highlighting recent research, providing outreach opportunities, encouraging community connections, partnering with influencers, and keeping information current through digital health technologies. These methods aim to make pancreas transplantation more accessible and motivating for a diverse audience, supporting informed decision-making.https://www.frontiersin.org/articles/10.3389/fdgth.2024.1453341/fullpancreas transplantationpublic perceptiondigital health communicationsentiment analysisconnected healthAI-driven analysis |
| spellingShingle | Oscar A. Garcia Valencia Charat Thongprayoon Caroline C. Jadlowiec Shennen A. Mao Jing Miao Napat Leeaphorn Supawadee Suppadungsuk Supawadee Suppadungsuk Eva Csongradi Pooja Budhiraja Nadeen Khoury Pradeep Vaitla Wisit Cheungpasitporn Navigating pancreas transplant perceptions: assessing public sentiment and strategies using AI-driven analysis Frontiers in Digital Health pancreas transplantation public perception digital health communication sentiment analysis connected health AI-driven analysis |
| title | Navigating pancreas transplant perceptions: assessing public sentiment and strategies using AI-driven analysis |
| title_full | Navigating pancreas transplant perceptions: assessing public sentiment and strategies using AI-driven analysis |
| title_fullStr | Navigating pancreas transplant perceptions: assessing public sentiment and strategies using AI-driven analysis |
| title_full_unstemmed | Navigating pancreas transplant perceptions: assessing public sentiment and strategies using AI-driven analysis |
| title_short | Navigating pancreas transplant perceptions: assessing public sentiment and strategies using AI-driven analysis |
| title_sort | navigating pancreas transplant perceptions assessing public sentiment and strategies using ai driven analysis |
| topic | pancreas transplantation public perception digital health communication sentiment analysis connected health AI-driven analysis |
| url | https://www.frontiersin.org/articles/10.3389/fdgth.2024.1453341/full |
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