I wrote a Career Column in Science about my experience with burnout while conducting research on clinician burnout. In the piece, I reflect on the importance of maintaining well-being, particularly for PhD students navigating the demands of graduate school.
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I wrote a Correspondence in Nature about the risks of using AI tools in peer review without adequate oversight. Drawing on my own experience, I argue that unchecked use of AI in peer review could undermine scientific integrity and call for clearer policies and safeguards.
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I wrote a policy-focused Commentary in Health Affairs Scholar arguing that the well-being of healthcare professionals should be treated as critical infrastructure. Drawing on my research experience, I discuss what this perspective means for the long-term sustainability and resilience of healthcare systems.
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I wrote a Commentary in Learning Health Systems advocating for stronger systems engineering leadership in hospitals. In the piece, I make the case for establishing a Chief Systems Engineer role to help healthcare organizations address complex, system-level challenges.
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Our research on using digital twin systems to better understand and manage clinician burnout was featured in Virginia Tech News. The article highlights our work on integrating real-time healthcare data to support clinician well-being and more sustainable care delivery.
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I wrote an opinion piece in AI & Society on the need to design AI decision-support tools around the clinicians who use them. In the piece, I argue for clinician-centered AI that supports decision-making without adding to clinicians’ workload or burden.
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I wrote a Letter to the Editor in the Journal of Medical Systems on the growing use of generative AI as an informal source of medical advice in low- and middle-income countries. In the piece, I call for stronger global governance and policy frameworks to address the risks associated with this emerging practice.
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I wrote a Letter to the Editor in the Journal of Medical Internet Research on how limited access to data can hinder the implementation of digital twins in healthcare. I argue for stronger approaches to data governance, ownership, access, and sharing to help address this barrier.
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