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