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An international consensus panel on the potential value of Digital Surgery.
Erskine, Jamie; Abrishami, Payam; Bernhard, Jean-Christophe; Charter, Richard; Culbertson, Richard; Hiatt, Jo Carol; Igarashi, Ataru; Purcell Jackson, Gretchen; Lien, Matthew; Maddern, Guy; Soon Yau Ng, Joseph; Patel, Anita; Rha, Koon Ho; Sooriakumaran, Prasanna; Tackett, Scott; Turchetti, Giuseppe; Chalkidou, Anastasia.
Affiliation
  • Erskine J; Market Access, Alira Health, Boston, Massachusetts, USA jamie.erskine@alirahealth.com.
  • Abrishami P; Erasmus School of Health Policy and Management, National Health Care Institute, Rotterdam, The Netherlands.
  • Bernhard JC; University Hospital Centre Bordeaux, Bordeaux, France.
  • Charter R; Health Technology Assessment International, Edmonton, Alberta, Canada.
  • Culbertson R; CHLOE Healthcare Advisory Group, London, UK.
  • Hiatt JC; Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
  • Igarashi A; Health Technology Assessment International, Edmonton, Alberta, Canada.
  • Purcell Jackson G; The University of Tokyo, Tokyo, Japan.
  • Lien M; Intuitive Surgical Inc, Sunnyvale, California, USA.
  • Maddern G; American Medical Informatics Association, Bethesda, Maryland, USA.
  • Soon Yau Ng J; Intuitive Surgical Inc, Sunnyvale, California, USA.
  • Patel A; Surgery, The Queen Elizabeth Hospital, University of Adelaide, Woodville, Adelaide, Australia.
  • Rha KH; National University Cancer Institute, Singapore.
  • Sooriakumaran P; Anita Patel Health Economics Consulting Ltd, London, UK.
  • Tackett S; Wolfson Institute of Population Health, Queen Mary University of London, London, UK.
  • Turchetti G; Yonsei University Medical Center, Seodaemun-gu, Seoul, Republic of Korea.
  • Chalkidou A; University College London, London, UK.
BMJ Open ; 14(9): e082875, 2024 Sep 05.
Article in En | MEDLINE | ID: mdl-39242163
ABSTRACT

OBJECTIVES:

The use of digital technology in surgery is increasing rapidly, with a wide array of new applications from presurgical planning to postsurgical performance assessment. Understanding the clinical and economic value of these technologies is vital for making appropriate health policy and purchasing decisions. We explore the potential value of digital technologies in surgery and produce expert consensus on how to assess this value.

DESIGN:

A modified Delphi and consensus conference approach was adopted. Delphi rounds were used to generate priority topics and consensus statements for discussion. SETTING AND

PARTICIPANTS:

An international panel of 14 experts was assembled, representing relevant stakeholder groups clinicians, health economists, health technology assessment experts, policy-makers and industry. PRIMARY AND SECONDARY OUTCOME

MEASURES:

A scoping questionnaire was used to generate research questions to be answered. A second questionnaire was used to rate the importance of these research questions. A final questionnaire was used to generate statements for discussion during three consensus conferences. After discussion, the panel voted on their level of agreement from 1 to 9; where 1=strongly disagree and 9=strongly agree. Consensus was defined as a mean level of agreement of >7.

RESULTS:

Four priority topics were identified (1) how data are used in digital surgery, (2) the existing evidence base for digital surgical technologies, (3) how digital technologies may assist surgical training and education and (4) methods for the assessment of these technologies. Seven consensus statements were generated and refined, with the final level of consensus ranging from 7.1 to 8.6.

CONCLUSION:

Potential benefits of digital technologies in surgery include reducing unwarranted variation in surgical practice, increasing access to surgery and reducing health inequalities. Assessments to consider the value of the entire surgical ecosystem holistically are critical, especially as many digital technologies are likely to interact simultaneously in the operating theatre.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Delphi Technique / Consensus Limits: Humans Language: En Journal: BMJ Open Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Delphi Technique / Consensus Limits: Humans Language: En Journal: BMJ Open Year: 2024 Document type: Article Affiliation country: Country of publication: