It’s great working with AEHRC and Austin Health to integrate a #SMARTonFHIR app with workflow with the EMR. The use case is entering problems

“need for more comprehensive research including multicentre trials, diverse outcome measures, and improved reporting standards is crucial” thelancet.com/journals/landi…

Thought provoking and important for implementation of AI in real situations ⁦Dr Kara Burns 🔥⁩ ⁦Dr Mahima Kalla⁩ thelancet.com/journals/landi…

If we value diversity and inclusion, we need to go beyond identity categories and create environments that support a broad range of people. Latest blog post wix.to/NQW2XIV

Is this feasible in the Victorian hospital system? How do we motivate the need for research data warehouses to support application of AI and other algorithms to patient care? Shyam Visweswaran Centre for Digital Transformation of Health

So happy to be hearing from Shyam Visweswaran as the first speaker on our Clinical AI series. Why do we need AI-enhanced clinical decision support? Centre for Digital Transformation of Health

What goes into a patient’s EHR has permanence that follows them from provider to provider and potential for transmitting bias. No wonder patients are concerned. #EndGenderBias survey and implications for digital health in my post
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So happy to see development of a comprehensive schema and benchmark of oncology-specific information in oncology notes to evaluate the strengths and the limitations of LLMs: the past and future of NLP coming together!

What is the number one need of consumers? #interoperability , of course. That was one message at a consumer panel at the Council for Connected Care following the #sparked #FHIR -ing up interoperability event. See my blog post for more gems wix.to/necnHKo

Sitting in the hot tub and looked up to see a string of lights moving across the sky above #Melbourne in perfect alignment then disappear. Aliens? Turns out it was the starlink satellites!

Hero projects, a thousand flowers blooming - sound familiar? System-level innovation structures are needed to foster innovation and produce impact in healthcare systems wix.to/TdEKJnt

Embedded expertise is critical for effective collaboration on #LearningHealthSystems . In this post, I highlight several examples of embedding and share a few practices that foster innovation. There are many more examples of embedding -- What am I missing? wix.to/D2PkUjJ

We need to consider implementation and validation at the outset of technology design rather than treating it as an afterthought. I introduce several types of infrastructure to support digital health innovators, focusing especially on AI in healthcare. 
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The holy grail in our field may be creating fruitful partnerships between academics and healthcare delivery systems. I'm thinking a lot about what works and doesn't and introduce one model in this post: the academic Learning Health System Wake Forest University School of Medicine
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When there were known genetic and biological relationships between a disease and a patient's demographics, GPT-4 exaggerated these prevalence differences when generating clinical vignettes and tended to over-represent stereotypes of diseases thelancet.com/journals/landi…

Opponents, nailing to the wall, and email diplomas--what makes for a good academic completion ritual?
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Suggestions for breaking down performance of an #AI tool based on factors of potential bias. Love that it goes beyond simplistic surrogates for social and non-social factors. A factor I would add: religion. scholar.google.com/scholar_url?ur…

Leslie McIntosh: If your perspective is not reported, you are not in the story. GAI takes those historical texts and is building and projecting our future. So where women’s missing voices were once crevices, they have now become large gaps. ⁦karin verspoor (professor)⁩ apple.news/ABZI8b117RZaQp…

I always have mixed feelings about AMIA--are professional conferences really that much different than school playgrounds? I would love to hear your experiences with the inevitable social hierarchies.
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In today's blog, I highlight three efforts related to algorithms and equity: a recommended validation process, tools to help data scientists create fair algorithms, and disparity dashboards to support learning health systems. wix.to/1YVgRIo