Great food for thought, just discovered this Substack and I love it!
A few thoughts:
Where I trained there were some efforts to use the EHR usage data as a tool to evaluate. There was lots of pushback though - to clinicians it felt a little big brothery. Nobody wants to feel like their clicks are being watched. This gets to the heart of a big problem in medicine - although everyone talks the talk about improving diagnostic error, quality, and cost, most physician groups will fight tooth and nail to prevent real data-based evaluations of their performance.
My other thought is about the long-term value proposition you’re proposing. If the emrs you’re imagining can become so good at teaching trainees how to care for complex and chronic disease, do we really need the humans to be so well trained in the first place?
I'm not sure if EMRs will be around forever so just trying to make the most of the tool we're stuck with. there have been lots of lessons around de-skilling from the aviation industry that we can learn from when it comes to overlying on technology. truth is probably somewhere in the middle. you might find this talk by nicholas carr interesting https://www.youtube.com/watch?v=Mt8ooCms4sE&ab_channel=TalksatGoogle
Intrigued by the idea of EMR simulation learning and see the value of case study application. Curious about assessment of competency measurement, how to utilize as a remediation tool, and what about the skill set of filtering through a bloated EMR to efficiently identify critical clinical information for assessment and plan for treatment. Perhaps AI could assist in progressive testing capability to individualize performance potential?
Like it! You should check out what Rippling is building, some of their performance stuff will get to healthcare at one point too. I also wonder what impact AI will have on the need for training, and how we will train clinicians in using technology that goes beyond the EHR.
Great read. Thanks for sharing. This could be interesting for CME and re-certification exams, too.
Great food for thought, just discovered this Substack and I love it!
A few thoughts:
Where I trained there were some efforts to use the EHR usage data as a tool to evaluate. There was lots of pushback though - to clinicians it felt a little big brothery. Nobody wants to feel like their clicks are being watched. This gets to the heart of a big problem in medicine - although everyone talks the talk about improving diagnostic error, quality, and cost, most physician groups will fight tooth and nail to prevent real data-based evaluations of their performance.
My other thought is about the long-term value proposition you’re proposing. If the emrs you’re imagining can become so good at teaching trainees how to care for complex and chronic disease, do we really need the humans to be so well trained in the first place?
I'm not sure if EMRs will be around forever so just trying to make the most of the tool we're stuck with. there have been lots of lessons around de-skilling from the aviation industry that we can learn from when it comes to overlying on technology. truth is probably somewhere in the middle. you might find this talk by nicholas carr interesting https://www.youtube.com/watch?v=Mt8ooCms4sE&ab_channel=TalksatGoogle
Intrigued by the idea of EMR simulation learning and see the value of case study application. Curious about assessment of competency measurement, how to utilize as a remediation tool, and what about the skill set of filtering through a bloated EMR to efficiently identify critical clinical information for assessment and plan for treatment. Perhaps AI could assist in progressive testing capability to individualize performance potential?
Brilliant - I learned something new!
love it- also love that you 'ask the audience' at the end. way to go.
Like it! You should check out what Rippling is building, some of their performance stuff will get to healthcare at one point too. I also wonder what impact AI will have on the need for training, and how we will train clinicians in using technology that goes beyond the EHR.
Combined with other (verified) data sources through a Federated framework could / should lead to a powerful tool with continuous cycles of maturity.
Really cool idea. Great post!