Technology
asynchronous-capable, and patient-inclusive is the most direct route to that goal.
CSJ
References 1. Williams GJ, Thompson JF. Management changes and survival outcomes for cancer patients after multidisciplinary team discussion; a systematic review and meta- analysis. Cancer Treat Rev. 2025 Sep;139:102997. doi: 10.1016/j.ctrv.2025.102997. Epub 2025 Jul 23. PMID: 40714369,
https://pubmed.ncbi.nlm.nih. gov/40714369/
2. Soukup T, Murtagh G, Lamb BW, Green JSA, Sevdalis N. Degrees of Multidisciplinarity Underpinning Care Planning for Patients with Cancer in Weekly Multidisciplinary Team Meetings: Conversation Analysis. J Multidiscip Healthc. 2021 Feb 18;14:411-424. doi: 10.2147/ JMDH.S270394. PMID: 33633452; PMCID: PMC7902806.
https://pmc.ncbi.nlm.nih.gov/ articles/PMC7902806/
3. Soukup T, Gandamihardja TAK, McInerney S, Green JSA, Sevdalis N. Do multidisciplinary cancer care teams suffer decision-making fatigue: an observational, longitudinal team improvement study. BMJ Open. 2019 May 27;9(5):e027303. doi: 10.1136/ bmjopen-2018-027303. PMID: 31138582; PMCID: PMC6549703.
https://pubmed.ncbi.nlm.nih. gov/31138582/
4. Soukup T, Murtagh G, Lamb BW, Green JSA, Sevdalis N. Degrees of Multidisciplinarity Underpinning Care Planning for Patients with Cancer in Weekly Multidisciplinary Team Meetings: Conversation Analysis. J Multidiscip Healthc. 2021 Feb 18;14:411-424. doi: 10.2147/ JMDH.S270394. PMID: 33633452; PMCID: PMC7902806.
https://pmc.ncbi.nlm.nih.gov/ articles/PMC7902806/
5. Department of Health and Social Care. The National Cancer Plan for England: delivering world class cancer care. London: DHSC; February 2026. Available at:
gov.uk/ government/publications/national-cancer- plan-for-england
6. The King’s Fund. Delivering the National Cancer Plan: what will it take to build innovation-ready cancer services? London: The King’s Fund; April 2026. Available at:
https://www.kingsfund.
org.uk/insight-and-analysis/long-reads/ delivering-national-cancer-plan-innovation- ready-services
7. MSD Engage. Improving cancer patient outcomes through collaboration: a qualitative study of digital MDT tools. London: MSD; 2025. Available at:
https://www.msdengage.co.uk/ wp-content/uploads/sites/378/2025/04/MSD- Multidisciplinary-Team-White-Paper-2025-_ FINAL-Digital-Report_.pdf
8. Zasada M, Harris J, Groothuizen J, Aroyewun 56
www.clinicalservicesjournal.com I October 2026
E, Mendis J, Taylor C, Hewish M. Investigating the efficiency of lung multi-disciplinary team meetings-A mixed methods study of eight lung multi-disciplinary teams. Cancer Med. 2023 Apr;12(8):9999-10007. doi: 10.1002/cam4.5730. Epub 2023 Mar 19. PMID: 36934449; PMCID: PMC10166965.
https://pubmed.ncbi.nlm.nih. gov/36934449/
9. Al-Hammouri T, Almeida-Magana R, Soukup T and Lamb B (2024) Implementation of streamlining measures in selecting and prioritising complex cases for the cancer multidisciplinary team meeting: a mini review of the recent developments. Front. Health Serv. 4:1340320. doi: 10.3389/frhs.2024.1340320
https://www.frontiersin.org/journals/health- services/articles/10.3389/frhs.2024.1340320/ full
10. Zhang Y, Li J, Liao M, Yang Y, He G, Zhou Z, Feng G, Gao F, Liu L, Xue X, Liu Z, Wang X, Shi Q, Du X. Cloud platform to improve efficiency and coverage of asynchronous multidisciplinary team meetings for patients with digestive tract cancer. Front Oncol. 2024 Jan 15;13:1301781. doi:10.3389/fonc.2023.1301781. PMID: 38288106; PMCID: PMC10824572.
https://pubmed.ncbi.nlm.
nih.gov/38288106/
11. Naeem A, Jacob W. Evaluating the Benefits and Challenges of Using Patient Preferences as a Tool for Clinical Decision Making in Oncology Multidisciplinary Team Meetings within the National Health Service: A Qualitative Study. Oncol Res Treat. 2025;48(5):305-311. doi: 10.1159/000543741. Epub 2025 Jan 25. PMID: 39864414; PMCID: PMC12054986. https://
pubmed.ncbi.nlm.nih.gov/39864414/
12. Josfeld L, Keinki C, Pammer C, Zomorodbakhsch B, Hübner J. Cancer patients’ perspective on shared decision-making and decision aids in oncology. J Cancer Res Clin Oncol. 2021 Jun;147(6):1725-1732. doi: 10.1007/s00432-021- 03579-6. Epub 2021 Mar 7. PMID: 33682014; PMCID: PMC8076112.
https://pubmed.ncbi.nlm.
nih.gov/33682014/
13. Wishart, Gordon & Azzato, Elizabeth & Greenberg, David & Rashbass, Jem & Kearins, Olive & Lawrence, Gill & Caldas, Carlos & Pharoah, Paul. (2010). PREDICT: A new UK prognostic model that predicts survival following surgery for invasive breast cancer. Breast cancer research : BCR. 12. R1. 10.1186/ bcr2464.
https://www.researchgate.net/ publication/40869229_PREDICT_A_new_UK_ prognostic_model_that_predicts_survival_ following_surgery_for_invasive_breast_cancer
About the author
A Professor of Medicine at UCL, an experienced clinician working in the Royal Free London as a hepatologist, acute physician and a clinical pharmacologist, Professor Kevin Moore is also an author of the Oxford Handbook of Acute Medicine with ~ 200,000 sold copies. As a clinician, he has experienced the many frustrations of manual workflows, which lead to patients becoming lost in the system, either in referral or long-term follow-up. During COVID, the problems faced by the many patients under long-term surveillance became acutely manifest, leading him to tackle the technological challenges impacting patient safety head-on by co-founding Salutare.
Halfpoint -
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