Category: Clinical
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Using Claude to rapidly build an evidence-based CPD activity
How I used Claude to rapidly develop the pedagogical framework and outline of an evidence-based CPD activity or assessment task.
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In Beta podcast: The challenges of early autonomy for students on clinical placement
In this episode we talk about the realities and demands faced by physiotherapy students during clinical placements in resource-limited environments. The focus of the conversation is the relatively limited contact time that supervisors have with students in South Africa, and how this means that students manage their own caseloads with minimal supervision.
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Using Claude to create patient personas for health professions education
Health professions education aims to provide students with practical clinical experience and skills in person-centred care before graduating, and simulated patient interactions are a potential teaching method. However, these interactions can be resource-intensive and expensive, especially if actors are included. AI assistants like Claude provide a scalable alternative for role-playing dialogue. This post describes the…
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ChatGPT is – and isn’t – a good psychotherapist
First, a caveat. I know that ‘psychotherapy’ and ‘doctors treating depression’ aren’t the same thing, so this isn’t a direct comparison. However, it’s worth noting that few people are going to make the distinction. They’re going to see conflicting articles about ChatGPT being good – and bad – for ‘mental health related stuff’, and find…
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Rejected AMEE abstract (Point of view) | Human replacement by artificial intelligence: An heretical point of view
See this brief post on my reasons for sharing rejections. I should note that my intention with this submission was to take an extreme position on a topic, to test our collective assumptions. I’m not convinced that the claim (i.e. health professions workers will be replaced by AI) is true. But I’m also not convinced…
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Rejected AMEE abstract (oral presentation) | Is ‘being human’ enough? Preparing for clinical practice in the age of artificial intelligence
See this brief post on my reasons for sharing rejections. Introduction Identity is central to our understanding of the health professions, and much of professionaleducation revolves around this core value. The introduction of artificially intelligent tools (AI-based systems) into clinical practice has led to resistance in the face of perceived threats to clinician autonomy (Jussupow…
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Having a conversation with an article through natural language processing
Thanks to Ben Gordon for pointing me towards explainpaper. In How to read a book (1972), Mortimer Adler says that “Reading…should be a conversation between you and the author.” Which is why I don’t read without a figurative pen in my hand; As I’m reading I want to mark up the text with questions and…
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Suggestions for clinicians wanting to work in health AI
If you’re a clinician interested in working in health AI: Learn about AI concepts and related domains (e.g. NLP, expert systems, robotics, etc) before spending any time learning to code. Focus on the many nuances of clinical practice that come with years of experience at the bedside. Study human decision-making and the influence of biases…
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I was on the Man & Machine podcast last week
Last week I had a conversation with Ean Bett of the Man & Machine podcast, which we recorded and published. I had a great time talking to Ean about some of the progress we see taking place in clinical AI.
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Physiotherapy clinicians’ perceptions of AI in clinical practice – SAAHE conference
In 2019 I conducted a survey of international physiotherapy clinicians, asking what they thought of the introduction of AI and machine learning into clinical practice. I didn’t do much data analysis in 2020 (because, Covid) but have now completed an initial round of thematic analysis on the responses. In this presentation at the SAAHE 2021…
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On the poor performance of AI models during the pandemic
Heaven, W.D. (2021). Hundreds of AI tools have been built to catch covid. None of them helped. MIT Technology Review. In the end, many hundreds of predictive tools were developed. None of them made a real difference, and some were potentially harmful. That’s the damning conclusion of multiple studies published in the last few months.…
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AI is already an important part of clinical practice. Just not in the way that you think.
We’re all using AI all the time. We just don’t always recognise it. There’s a lot of discussion around the introduction of AI-based systems into clinical practice and healthcare systems. But these discussions tend to focus on the systems that are being designed, developed, and deployed as part of formal processes centred on ‘big ideas’…
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How to replace a physiotherapist (or any professional, really)
Rowe, M., Nicholls, D. A., & Shaw, J. (2021). How to replace a physiotherapist: Artificial intelligence and the redistribution of expertise. Physiotherapy Theory and Practice. I’m really excited to finally share this article that I’ve been working on for a couple of years with David Nicholls and Jay Shaw. I say a couple of years…
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Seeing beyond our own paradigms
Yesterday I saw this tweet from Enrico Coiera: So I downloaded the editorial and noted these sections: Through the Internet, the public has access to a growing supply of information on health and disease, often of variable quality and relevance. As a result, providing information on health will no longer be the exclusive remit of…
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Start with kindness
There are lots of reasons why patients may not want to do the things you ask them to. For one thing, they’re usually in a hospital, which is a pretty good indicator that they’re not well. I know what I want to do when I’m not well and it doesn’t involve going to the gym.…
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Podcast: Clinicians’ ‘Number-One Wish’ for Artificial Intelligence
…we installed cheap depth sensors that can collect human behavior data on patients and clinicians without infringing on their privacy, because these are not photo grabs of people’s faces and identities. With that information, we can observe longitudinally, 24/7, whether proper care is being given to our patients and provide feedback in the health delivery…
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Resource: Towards a curated library for AI in healthcare
I’ve started working on what will eventually become a curated library of resources that I’m using for my research on the impact of artificial intelligence and machine learning on clinical practice. At the moment it’s just a public repository of the articles, podcasts, blog posts that I’ve read or listened to and then saved in…
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Article: Recommendations For Implementing a Longitudinal Study Using Wearable and Environmental Sensors in a Health Care Organization
This study gives examples for implementing technology-facilitated approaches and provides the following recommendations for conducting such longitudinal, sensor-based research, with both environmental and wearable sensors in a health care setting: pilot test sensors and software early and often; build trust with key stakeholders and with potential participants who may be wary of sensor-based data collection…
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Article: Resistance to Medical Artificial Intelligence
Across a variety of medical decisions ranging from prevention to diagnosis to treatment, we document a robust reluctance to use medical care delivered by AI providers rather than comparable human providers. Whereas much is known about medical AI’s accuracy, cost-efficiency, and scalability, little is known about patients’ receptivity to medical AI. Yet patients are the…