eprintid: 10188747 rev_number: 12 eprint_status: archive userid: 699 dir: disk0/10/18/87/47 datestamp: 2024-03-11 12:07:56 lastmod: 2025-01-20 07:10:08 status_changed: 2024-03-11 12:07:56 type: article metadata_visibility: show sword_depositor: 699 creators_name: Marcus, Hani J creators_name: Ramirez, Pedro T creators_name: Khan, Danyal Z creators_name: Layard Horsfall, Hugo creators_name: Hanrahan, John G creators_name: Williams, Simon C creators_name: Beard, David J creators_name: Bhat, Rani creators_name: Catchpole, Ken creators_name: Cook, Andrew creators_name: Hutchison, Katrina creators_name: Martin, Janet creators_name: Melvin, Tom creators_name: Stoyanov, Danail creators_name: Rovers, Maroeska creators_name: Raison, Nicholas creators_name: Dasgupta, Prokar creators_name: Noonan, David creators_name: Stocken, Deborah creators_name: Sturt, Georgia creators_name: Vanhoestenberghe, Anne creators_name: Vasey, Baptiste creators_name: McCulloch, Peter creators_name: IDEAL Robotics Colloquium, title: The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring ispublished: pub subjects: UCH divisions: UCL divisions: B02 divisions: B04 divisions: C07 divisions: C05 divisions: D07 divisions: F82 divisions: F48 divisions: F42 divisions: F85 keywords: Science & Technology, Life Sciences & Biomedicine, Biochemistry & Molecular Biology, Cell Biology, Medicine, Research & Experimental, Research & Experimental Medicine, HEALTH TECHNOLOGY-ASSESSMENT, LEARNING-CURVES, SURGERY, INNOVATION, CANCER, VALIDATION, SAFETY, TOOL note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: The next generation of surgical robotics is poised to disrupt healthcare systems worldwide, requiring new frameworks for evaluation. However, evaluation during a surgical robot's development is challenging due to their complex evolving nature, potential for wider system disruption and integration with complementary technologies like artificial intelligence. Comparative clinical studies require attention to intervention context, learning curves and standardized outcomes. Long-term monitoring needs to transition toward collaborative, transparent and inclusive consortiums for real-world data collection. Here, the Idea, Development, Exploration, Assessment and Long-term monitoring (IDEAL) Robotics Colloquium proposes recommendations for evaluation during development, comparative study and clinical monitoring of surgical robots-providing practical recommendations for developers, clinicians, patients and healthcare systems. Multiple perspectives are considered, including economics, surgical training, human factors, ethics, patient perspectives and sustainability. Further work is needed on standardized metrics, health economic assessment models and global applicability of recommendations. date: 2024-01-19 date_type: published publisher: Nature Publishing Group official_url: http://dx.doi.org/10.1038/s41591-023-02732-7 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 2140961 doi: 10.1038/s41591-023-02732-7 medium: Print-Electronic pii: 10.1038/s41591-023-02732-7 lyricists_name: Khan, Danyal Z lyricists_name: Vanhoestenberghe, Anne lyricists_name: Stoyanov, Danail lyricists_name: Marcus, Hani lyricists_name: Layard Horsfall, Hugo lyricists_id: DKHAN91 lyricists_id: AVANH36 lyricists_id: DSTOY26 lyricists_id: HJMAR16 lyricists_id: HLHOR64 actors_name: Stoyanov, Danail actors_name: Woolley, Clare actors_id: DSTOY26 actors_id: CWOOL20 actors_role: owner actors_role: impersonator funding_acknowledgements: 203145Z/16/Z [Wellcome Trust (Wellcome)]; NS/A000050/1 [RCUK | Engineering and Physical Sciences Research Council (EPSRC)]; R01 HS26491-01 [U.S. Department of Health & Human Services | Agency for Healthcare Research and Quality (AHRQ)]; DP200100883 [Department of Education and Training | Australian Research Council (ARC)]; DE200101301 [Department of Education and Training | Australian Research Council (ARC)] full_text_status: public publication: Nature Medicine volume: 30 pagerange: 61-75 pages: 15 event_location: United States issn: 1078-8956 citation: Marcus, Hani J; Ramirez, Pedro T; Khan, Danyal Z; Layard Horsfall, Hugo; Hanrahan, John G; Williams, Simon C; Beard, David J; ... IDEAL Robotics Colloquium; + view all <#> Marcus, Hani J; Ramirez, Pedro T; Khan, Danyal Z; Layard Horsfall, Hugo; Hanrahan, John G; Williams, Simon C; Beard, David J; Bhat, Rani; Catchpole, Ken; Cook, Andrew; Hutchison, Katrina; Martin, Janet; Melvin, Tom; Stoyanov, Danail; Rovers, Maroeska; Raison, Nicholas; Dasgupta, Prokar; Noonan, David; Stocken, Deborah; Sturt, Georgia; Vanhoestenberghe, Anne; Vasey, Baptiste; McCulloch, Peter; IDEAL Robotics Colloquium; - view fewer <#> (2024) The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring. Nature Medicine , 30 pp. 61-75. 10.1038/s41591-023-02732-7 <https://doi.org/10.1038/s41591-023-02732-7>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10188747/1/Stoyanov_IDEAL%20Robotics%20Framework%20Manuscript%20Submitted%20Version%20-%20Accepted%20with%20minor%20proofing%20changes.pdf