{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T11:01:13Z","timestamp":1790074873572,"version":"4.0.1"},"reference-count":26,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T00:00:00Z","timestamp":1694476800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Nephrology"],"published-print":{"date-parts":[[2023,12]]},"abstract":"Abstract<\/jats:title>\n \n Purpose<\/jats:title>\n Coronavirus disease pandemic makes high requirements in delivering remote and efficient communication, and patient education. Because of the increases of digital and social media applications in Taiwan, we aim to apply Artificial Intelligence of LINE Chatbot to improve the self\u2010care ability of patients undergoing peritoneal dialysis.<\/jats:p>\n <\/jats:sec>\n \n Materials and Methods<\/jats:title>\n We conducted the project since 1 May 2021 to 30 April 2022. We designed an automatically replied Chatbot system, and divided into six scopes of interaction interfaces, including peritoneal dialysis technique operation video, clinical reminder, home caring, hospital registration service, dietary guideline, and Automatic Peritoneal dialysis guidance. We surveyed patients' satisfaction with the LINE Chatbot 3 months later by the Likert 1\u20135 score\u2010based questionnaire and the higher score indicated higher satisfaction.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n There were 440 patients who joined the PD AI Chatbot study and use the Chatbot, but the satisfaction questionnaire recovery rate was only 297 patients. We found that 91.7% of participants agreed \u2018Overall satisfaction with patient intelligent Chatbot application\u2019. More than 4 points accounted for 86.6%. We traced every click in each section of the Chatbot and explored the potential scenario patients face. The Chatbot statistically significant reduced infection rate of exit site and tunnel infection before using (\n p<\/jats:italic>\n \u2009=\u2009.049 and .024). Furthermore, peritonitis rate decreased from 0.93 to 0.8\/100 patient month after using Artificial Intelligence technique. Peritoneal dialysis Artificial Intelligence Chatbot had similar effect with face\u2010to\u2010face education.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n \n The innovative Chatbot allowed delivering remote and digital information's to improve patients' self\u2010care ability. Peritoneal dialysis patients were highly recognized and satisfied with the tools. It deserves to further explore the long\u2010term impact of Artificial Intelligence Chatbot in peritoneal dialysis care.\n \n \n image<\/jats:alt-text>\n <\/jats:graphic>\n <\/jats:boxed-text>\n <\/jats:p>\n <\/jats:sec>","DOI":"10.1111\/nep.14239","type":"journal-article","created":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T07:20:19Z","timestamp":1694503219000},"page":"655-662","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Implementation of artificial intelligence\n C<\/scp>\n hatbot in peritoneal dialysis nursing care: Experience from a\n T<\/scp>\n aiwan medical center"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5833-982X","authenticated-orcid":false,"given":"Ching\u2010I","family":"Cheng","sequence":"first","affiliation":[{"name":"Department of Nursing National Taiwan University Hospital Taipei Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Woan\u2010Jean","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Nursing National Taiwan University Hospital Taipei Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui\u2010Ting","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Nursing National Taiwan University Hospital Taipei Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi\u2010Ting","family":"Chen","sequence":"additional","affiliation":[{"name":"Division of Nephrology, Department of Internal Medicine National Taiwan University Hospital Taipei Taiwan"},{"name":"Division of Blood Purification, Department of Integrated Diagnostics & Therapeutics National Taiwan University Hospital Taipei Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9021-4616","authenticated-orcid":false,"given":"Chih\u2010Kang","family":"Chiang","sequence":"additional","affiliation":[{"name":"Division of Nephrology, Department of Internal Medicine National Taiwan University Hospital Taipei Taiwan"},{"name":"Division of Blood Purification, Department of Integrated Diagnostics & Therapeutics National Taiwan University Hospital Taipei Taiwan"},{"name":"Graduate Institute of Toxicology, College of Medicine National Taiwan University Taipei Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kung\u2010Yu","family":"Hung","sequence":"additional","affiliation":[{"name":"Division of Nephrology, Department of Internal Medicine National Taiwan University Hospital Taipei Taiwan"},{"name":"Graduate Institute of Clinical Medicine, College of Medicine Taipei Medical University New Taipei City Taiwan"},{"name":"Division of Nephrology, Department of Internal Medicine, Shuang Ho Hospital Taipei Medical University New Taipei City Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,9,12]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1177\/089686080502500203"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11255-011-9995-9"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra2100152"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-019-0972-z"},{"issue":"1","key":"e_1_2_9_6_1","first-page":"15","article-title":"Chatbot\u2010facilitated nursing education: incorporating a knowledge\u2010based Chatbot system into a nursing training program","volume":"25","author":"Ching\u2010Yi C","year":"2022","journal-title":"J Educ Techno 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