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CC BY 4.0 · The Arab Journal of Interventional Radiology 2023; 07(02): 055-057
DOI: 10.1055/s-0043-1776999
Editorial

The Seven Habits of a Highly Effective Interventional Radiology Clinician-Scientist: The Keys to Co-Navigate Your Career as a Research Scientist

Warren Clements 
1   Department of Radiology, Alfred Health, Melbourne, Australia
2   Department of Surgery, Monash University, Australia
3   National Trauma Research Institute, Melbourne, Australia
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The 1989 book “The 7 Habits of Highly Effective People” by Steven Covey is a well-known self-help guide to success.[1] Recently, Mohammad Arabi published a modern play on this book by highlighting seven habits of highly effective interventional radiologists (IRs).[2] However, being a clinician is only one aspect of IR, and as the specialty continues to grow, the role and importance of an IR-led evidence-base is becoming apparent.[3] Evidence-based medicine now forms the core of daily clinical decision-making, guidelines, recommendations of regulatory bodies, and government funding.[4]

Modern IR clinician-scientists are a small but growing breed, but in many centers IR research infrastructure is relatively immature compared with established research-oriented specialties such as oncology and surgery.[5] In addition, there is a global workforce shortage in IR and we face challenges to meet clinical demand, let alone foster science.[6]

In this commentary, I discuss what I believe are seven habits of a highly effective IR-scientist and suggest habits that will allow others to forge this exciting path toward positive data-driven change.

Ethical Approval Statement

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Formal Ethics Committee approval was not required for this manuscript.




Publication History

Article published online:
07 November 2023

© 2023. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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