The cancer multidisciplinary team meeting: in need of change? History, challenges and future perspectives

Two decades since their inception, multidisciplinary teams (MDTs) are widely regarded as the ‘gold standard’ of cancer care delivery. Benefits of MDT working include improved patient outcomes, adherence to guidelines, and even economic benefits. Benefits to MDT members have also been demonstrated. A...

Full description

Saved in:
Bibliographic Details
Published in:BJU international 2021-09, Vol.128 (3), p.271-279
Main Authors: Winters, David A., Soukup, Tayana, Sevdalis, Nick, Green, James S.A., Lamb, Benjamin W.
Format: Article
Language:English
Subjects:
Artificial intelligence
assessment
Cancer
complexity
decision‐making
multidisciplinary teams
observation
optimisation
Quality control
quality improvement
streamlining
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Two decades since their inception, multidisciplinary teams (MDTs) are widely regarded as the ‘gold standard’ of cancer care delivery. Benefits of MDT working include improved patient outcomes, adherence to guidelines, and even economic benefits. Benefits to MDT members have also been demonstrated. An increasing body of evidence supports the use of MDTs and provides guidance on best practise. The system of MDTs in cancer care has come under increasing pressure of late, due to the increasing incidence of cancer, the popularity of MDT working, and financial pressures. This pressure has resulted in recommendations by national bodies to implement streamlining to reduce workload and improve efficiency. In the present review we examine the historical evidence for MDT working, and the scientific developments that dictate best practise. We also explore how streamlining can be safely and effectively undertaken. Finally, we discuss the future of MDT working including the integration of artificial intelligence and decision support systems and propose a new model for improving patient centredness.
ISSN:1464-4096
1464-410X
DOI:10.1111/bju.15495