In-depth expansion of Internet hospital services and multi-dimensional exploration of AI-empowered medical services

In-depth expansion of Internet hospital services and multi-dimensional exploration of AI-empowered medical services | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article In-depth expansion of Internet hospital services and multi-dimensional exploration of AI-empowered medical services Hanlu Gao, Xiaoning Chi, Linyi Tang, Lin Zhuo, Yahui Wang, Jinqing Fan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8771994/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background: Traditional offline medical services face many challenges such as time and space constraints, inadequate post-diagnosis management and disjointed population interventions. There is an urgent need for service models that effectively utilize AI-driven tools, as these tools are becoming increasingly integrated into medical and health services. Objective: This study seeks to examine the developmental trajectory, core components, and practical effectiveness of the distinctive health service model implemented by an Internet hospital. Methods: We focus on Internet Hospital of First Affiliated Hospital of Ningbo University, with six parallel novel services such as AI assisted clinical decision making, refined management of specific diseases, weight management, embryo freezing, screening and intervention for cognitive function in elderly and infant hydrotherapy. Data collected from October 2024 to December 2025, including number of recipients, income and medical record citations. Results: The acceptance rate for AI-based services was very high. AI pre-consultation feature was used 43077 times (citation rate 56.2%) and AI generated medical records were used 293 times (citation rate 44.4%). Due to AI generated medical records structure, doctors spent 23.7% less time entering medical records during consultations ( P = 0.0179), improving doctor-patient communication. A total of 1,699 patients utilized these services, resulting in a service revenue of 3.64 million Chinese Yuan (RMB). Notably, weight management was the main growth driver, with 3.49 million Chinese Yuan (RMB) from 1337 services, which made 95.9% of total health service income. Furthermore, improved treatment of specific diseases supported ongoing medical services after diagnosis. In addition, embryo freezing and infant hydrotherapy service relieved patients of offline travel burdens. Conclusion: AI-enabled internet hospitals, along with their distinctive health service models, can transcend the limitations of traditional offline healthcare. They improve healthcare accessibility, enhance service quality and optimize medical process efficiency. This approach provides valuable insights for the future of internet healthcare and health management. Internet hospital Characteristic health service AI pre-consultation Generative medical records Medical services optimization Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8771994","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":598555865,"identity":"ddf66144-ec1b-4dc5-95d6-5a4c87cf9857","order_by":0,"name":"Hanlu Gao","email":"","orcid":"","institution":"The First Affiliated Hospital of Ningbo University","correspondingAuthor":false,"prefix":"","firstName":"Hanlu","middleName":"","lastName":"Gao","suffix":""},{"id":598555866,"identity":"d0325987-7c05-4b6a-b771-d71beb626497","order_by":1,"name":"Xiaoning Chi","email":"","orcid":"","institution":"Ningbo Cloud 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services\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Internet hospital, Characteristic health service, AI pre-consultation, Generative medical records, Medical services optimization","lastPublishedDoi":"10.21203/rs.3.rs-8771994/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8771994/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground:\u003c/h2\u003e \u003cp\u003eTraditional offline medical services face many challenges such as time and space constraints, inadequate post-diagnosis management and disjointed population interventions. There is an urgent need for service models that effectively utilize AI-driven tools, as these tools are becoming increasingly integrated into medical and health services.\u003c/p\u003e\u003ch2\u003eObjective:\u003c/h2\u003e \u003cp\u003eThis study seeks to examine the developmental trajectory, core components, and practical effectiveness of the distinctive health service model implemented by an Internet hospital.\u003c/p\u003e\u003ch2\u003eMethods:\u003c/h2\u003e \u003cp\u003eWe focus on Internet Hospital of First Affiliated Hospital of Ningbo University, with six parallel novel services such as AI assisted clinical decision making, refined management of specific diseases, weight management, embryo freezing, screening and intervention for cognitive function in elderly and infant hydrotherapy. Data collected from October 2024 to December 2025, including number of recipients, income and medical record citations.\u003c/p\u003e\u003ch2\u003eResults:\u003c/h2\u003e \u003cp\u003eThe acceptance rate for AI-based services was very high. AI pre-consultation feature was used 43077 times (citation rate 56.2%) and AI generated medical records were used 293 times (citation rate 44.4%). Due to AI generated medical records structure, doctors spent 23.7% less time entering medical records during consultations (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.0179), improving doctor-patient communication. A total of 1,699 patients utilized these services, resulting in a service revenue of 3.64\u0026nbsp;million Chinese Yuan (RMB). Notably, weight management was the main growth driver, with 3.49\u0026nbsp;million Chinese Yuan (RMB) from 1337 services, which made 95.9% of total health service income. Furthermore, improved treatment of specific diseases supported ongoing medical services after diagnosis. In addition, embryo freezing and infant hydrotherapy service relieved patients of offline travel burdens.\u003c/p\u003e\u003ch2\u003eConclusion:\u003c/h2\u003e \u003cp\u003eAI-enabled internet hospitals, along with their distinctive health service models, can transcend the limitations of traditional offline healthcare. They improve healthcare accessibility, enhance service quality and optimize medical process efficiency. 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