{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T13:58:10Z","timestamp":1785592690591,"version":"3.56.0"},"reference-count":91,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T00:00:00Z","timestamp":1778803200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T00:00:00Z","timestamp":1778803200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Evaluation Clinical Practice"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Generally, gastroenterology and digestive endoscopy units commonly face constraints. It may be due to a lack of equipment, poor scheduling and inadequate inventory management. These issues not only affect patient throughput but also increase the workload for medical staff. Thus considering the current advancements in artificial intelligence we can work towards new opportunities to enhance clinical pathway and resource optimization to overcome the problems.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The purpose of this systematic review is (i) to study the work done by the researchers in the field of gastroenterology and endoscopy services and LLM\u2010powered chatbots and (ii) to check the possibilities of combining LLM\u2010powered chatbots with traditional and dynamic healthcare inventory models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Common platforms like Google Scholar, PubMed, Scopus, CrossRef and Web of Science were explored for relevant recent literature. The search was conducted using keywords \u201cendoscopy,\u201d \u201cchatbots,\u201d \u201clarge language models,\u201d \u201cinventory models,\u201d and \u201cgastroenterology.\u201d 222 records were collected in total, among which 91 met the required criteria and were subjected to a transparent review process following PRISMA guidelines.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Technical, clinical and organizational issues of LLM implementation in healthcare were addressed in the eligible studies. Slightly less than half of the received papers described predictive scheduling and workflow optimization systems, others addressed research on data management, documentation or interaction with patients. Few of these discussed about moral or legal considerations. The analysis focuses of ability of LLM chatbots to support product forecasting, equipment utilisation, waste reduction and real\u2010time decision support in endoscopy units when integrated with predictive inventory models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The amalgamation of LLM chatbots with inventory management is an effective way to achieve intelligent and sustainable activities in gastroenterology. Even though some problems will arise with this amalgamation, especially when it comes to data interoperability, ethics and validation. These two fields can be combined to work towards more effective, flexible and patient\u2010centric environment.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jep.70478","type":"journal-article","created":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T13:21:12Z","timestamp":1778851272000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["LLM Chatbot Integration With Inventory Systems for Gastroenterology and Endoscopy Services: A Systematic Review"],"prefix":"10.1111","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0424-6572","authenticated-orcid":false,"given":"Vinita","family":"Khatri","sequence":"first","affiliation":[{"name":"Department of Basic Science &amp; Humanities Mukesh Patel School of Technology Management and Engineering, SVKM's Narsee Monjee Institute of Management Studies (NMIMS) Deemed\u2010to\u2010be\u2010University Mumbai India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3873-0589","authenticated-orcid":false,"given":"Niketa","family":"Trivedi","sequence":"additional","affiliation":[{"name":"Department of Basic Science &amp; Humanities Mukesh Patel School of Technology Management and Engineering, SVKM's Narsee Monjee Institute of Management Studies (NMIMS) Deemed\u2010to\u2010be\u2010University Mumbai India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,15]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1097\/SGA.0000000000000635"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2020.02.068"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000000759"},{"key":"e_1_2_12_5_1","volume-title":"Gastrointestinal Endoscopy","author":"Chuks N. 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