Learning from Dorothy Vaughan: artificial intelligence and the health professions

Abstract

Brian Hodges explores what the health professions have to learn about workforce planning from the recently popularized history of “human computers” at NASA.

Artificial Intelligence in Surgical Education: Considerations for Interdisciplinary Collaborations

“…Elif Bilgic, PhD 1 , Andrew Gorgy, MD, MSc 1 , Meredith Young, PhD 2 , Samira Abbasgholizadeh-Rahimi, Eng, PhD 3,4,5,6 , and Jason M. Harley, PhD 1,2,7,8,9  Artificial intelligence (AI) based devices are currently being used in the delivery of surgical care in a variety of settings. 1,2 However, AI-enabled systems can trigger a variety of opinions and emotions, which reveals the different lenses that shape views on AI.…”

Artificial Intelligence and the Medical Radiation Profession: How Our Advocacy Must Inform Future Practice

“…Medical radiation professionals have hands-on experience from all stages of the patient journey, from emergency diagnosis to complex cancer treatment. We must make our voice heard during vendor demonstrations and conferences and ultimately in our research [49]. Rather than whisper in the corridors of our respective workplaces, we must find the courage to share information with confidence.…”

Artificial intelligence in clinical practice: Implications for physiotherapy education

“…In other words, we face a situation in which current physiotherapists may find themselves unable to practice effectively as they struggle to communicate and collaborate with AI-based systems. Neglecting professional development may have been less serious in times of incremental change but in an era of profound transformation that requires the retraining of many thousands of clinicians, it will be problematic (Hodges, 2018). It is therefore essential that we develop improved systems for continuing professional development that not only aim to provide current practitioners with the knowledge and skills necessary for clinical practice in an intelligence age but to cultivate a mindset of flexibility that enables them to adapt to a rapidly changing workplace (Susskind & Susskind, 2015).…”

“…It may be necessary for professional programmes to integrate data science, deep learning, and behavioral science into their undergraduate curricula in order that health professionals are able to develop, evaluate, and apply algorithms in clinical practice (Obermeyer & Lee, 2017;Hodges, 2018). Without this integration we may find that we have generations of health professionals and educators who are unable to speak the language of 21st century healthcare.…”