Abstract
ObjectivesThe 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.DesignA modified Delphi and consensus conference approach was adopted. Delphi rounds were used to generate priority topics and consensus statements for discussion.Setting and participantsAn 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 measuresA 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.ResultsFour 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.ConclusionPotential 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.
Reference41 articles.
1. Negreiro M . n.d. The rise of digital health technologies during the pandemic. 2021 Members’ Research Service, European Parliament. PE 690.548 – April 2021. Available: https://www.europarl.europa.eu/RegData/etudes/BRIE/2021/690548/EPRS_BRI(2021)690548_EN.pdf
2. Center for Devices and Radiological Health . n.d. What is digital health? U.S. Food and Drug Administration. Available: https://www.fda.gov/medical-devices/digital-health-center-excellence/what-digital-health
3. NICE . Evidence standards framework for digital health technologies (ECD7), 2022. Available: https://www.nice.org.uk/corporate/ecd7
4. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension;Liu;BMJ,2020
5. Current challenges and potential solutions to the use of digital health technologies in evidence generation: a narrative review;Mumtaz;Front Digit Health,2023