Daniel Schwartz, MD
@drdschwartzmd
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Nephrology @UBC by day, magician by night. When Daniel performs, urine for a treat. Have CKD? He’ll work his magic.
Vancouver
Joined July 2013
Every healthcare company needs to read this if they want to succeed
I’ve been in Health Tech for 12+ years and I’ve realized 90% of success is rolling up your sleeves and doing the work 90% of vendors just won't do… which makes them differentiators if you do them. Here are 10 things Health Tech vendors can do to really stand out: 1. Actually
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In British Columbia, we value science and innovation. We’re inviting tech talent, innovators, and scientists to come to B.C. and be part of building the economic engine of Canada’s new economy! 🍁
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I have already tried at length to use support The various responses I received show a lack of basic language comprehension and are internally inconsistent and contradictory Like I mentioned, senior leadership needs to dogfood the product and see what it feels like to be an end
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Experience so far with @EvidenceOpen is phenomenal
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9️⃣ The goal is simple: Let clinicians focus on thinking and listening - not searching and formatting. AI scribes are a good start. Now, let’s take them to where they need to be. 🚀
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8️⃣ If we want AI scribes to truly transform clinical practice, we need: ✅ Seamless EMR integration ✅ Intelligent search ✅ Standardized data formats
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7️⃣ Instead, much of my “documentation time” is spent: - Hunting for scattered facts - Fixing punctuation & formatting - Copy-pasting between windows
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6️⃣ William Osler (1849–1919) famously said: “Listen to your patient - they are telling you the diagnosis.” That’s where I’d rather spend my time: 💬 Meaningful conversations 🧠 Strategic thinking 🤝 Empowering patients
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5️⃣ Without deep integration, AI scribes only automate the easiest part of documentation while leaving the real bottleneck untouched.
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4️⃣ Current AI scribes can’t fix this. Why? No EMR access. They can transcribe, but they can’t: Retrieve data Cross-check labs Pull historical trends Merge findings into the note
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3️⃣ Even experienced clinicians struggle to quickly locate: 📈 Medication lists from central databases ❤️ Proprietary formatted reports like echos (with text converted to images) 🧫 Pathology results 🧪 Less common tests buried deep in the provincial system
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2️⃣ The biggest time sink in documentation isn’t the act of typing. It’s the cognitive load of: 🔍 Finding scattered results 🗂 Collating from multiple systems ✏️ Reformatting for clarity, grammar & consistency
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1️⃣ At @Fraserhealth, we’re trialing AI scribes. I love the idea - freeing clinicians from typing so we can focus on patients. But the reality is more complicated… 🧵
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Won't be using this on Mocha deployment due to PIPEDA issues, but love the proof of concept.
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I did have to prompt it to debug itself and still definitely needs some tweeking. But before AI, this would have been an expensive 2 months project.
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