So excited to be under contract with @CRCPress to write a book on "The Metaverse for Psychotherapy: A Practitioner's Guide to Effective Mental Health Treatment" let me know if you're a clinician practicing in the metaverse!
I missed my flight despite arriving early. Here’s what it taught me about my own mind.
Yesterday, I finished a 36-hour shift, got to the airport with time to spare, and still missed my flight home.
Here’s what happened — and the cognitive biases behind it.
The setup: My flight was delayed to 8:30 PM. I sat at gate B3, relaxed. Then the gate agent announced a gate change. Nobody around me moved. I didn’t either. Classic social proof — if the crowd isn’t moving, why should I?
I moved to B5 eventually. Got another text: delayed again to 9:20. I put on music to drown out the overhead announcements. Why listen when I have real-time texts?
8:40 — gate agent says boarding in 20 minutes. Matches the text.
9:00 — boarding starts. I get in line. Screen flashes red.
NOT ON FLIGHT. “Where are you going? Detroit? That left a long time ago.” What on earth.
When I finally pieced it together, the gate agent’s original announcement wasn’t “we’re moving to B5.” It was “LaGuardia is moving to B5. Detroit is staying here.”
I heard what I expected to hear.
I had used my text alerts as a reason to stop paying attention — right when I needed to most.
Three biases compounded on each other:
1. Confirmation bias — I selectively heard the part of the announcement that confirmed my preconception (we’re all moving).
2. Automation bias — I outsourced my situational awareness to text notifications, trusting the system over my own direct observation.
3. Social proof — Nobody else moved, so I didn’t either. The crowd validated my mistake in real time.
I think about this in medicine constantly.
How often do we hear what we expect in a patient history? How often does a normal lab result make us stop listening? How often does a patient who stops complaining feel like a patient who’s improving?
But nonetheless, the most embarrassing moments are usually the best teachers!
#Psychiatry #CognitiveBias #MentalModels #MedicalEducation #Leadership #Mindfulness
Remember when days without phones meant embracing true boredom, where time stretched out like an untouched canvas? Back then, waiting for the mailman wasn’t a chore—it was a ritual that broke the silence of an unplugged afternoon. Without a screen to chase our attention, we surrendered to daydreams, letting imaginations roam free. That analog boredom sparked creativity: doodles on paper, forts built from couch cushions, the purest kind of play. The steady tick-tock of a clock became our soundtrack, teaching us that patience is woven into life’s rhythm. Conversations ran deeper, face-to-face, uninterrupted by pings and notifications. Books were our escape hatches, each page a doorway to worlds richer than any app. In those phone-free moments, we discovered a rare contentment in stillness—an inner peace that often eludes us today. Think of it as a CSV import of your most vivid, tactile memories into your modern mind: a seamless way to reconnect with joy, creativity, and calm. Dare to disconnect, if only for a moment, and rediscover the beauty of being simply present. #MentalHealth #DigitalDetox #Nostalgia #Mindfulness #AnalogFun #BePresent #BoredomBenefits #SelfCare
We made it into the google / android app store. Really proud of the product we put together. It helps people organize their medical records.
https://t.co/2kMm5xvcCX
Navigating the maze of uncertainty in medical records is like solving a complex puzzle where every piece is crucial for the bigger picture. Ever found yourself tangled in the web of conflicting information? You're not alone.
Determining the accuracy of each piece of data is no small feat. Some strategies that can help include:
- Cross-referencing data from multiple sources.
- Utilizing advanced data analytics tools to spot inconsistencies.
- Engaging in interdisciplinary discussions to gain varied perspectives.
Conflicts in medical records are like two songs playing at once—chaotic and confusing. Yet, with a structured approach, they can be harmonized:
- Prioritizing the most recent and reliable sources of information.
- Clearly annotating discrepancies to maintain transparency.
- Creating protocols for regular data review and updates.
Let's turn this challenge into an opportunity for growth. How do you tackle these hurdles in your daily practice? Share your insights and strategies!
#Uncertainty #MedicalRecords #HealthcareProfessionals #ConflictingInformation #Accuracy #HealthcareInnovation #MedTech #DataManagement
We may not be able to give you a 100% perfect AI summary yet.
But we can help you find the errors, understand the uncertainty, and fix your record.
Because the most powerful healthcare tool isn’t AI.
It’s an accurate record in the hands of an empowered patient.
What’s the wildest error you’ve found in your own chart? Reply below. I read them all.
— Bruce Bassi, MD MS Founder, My Medical Records .ai
Is your medical data accurate?
Probably not.
Yet we all expect an AI-generated summary of it to be flawless.
We’re building exactly that at My Medical Records—and the pushback we got from the App Store was revealing. 🧵🧵🧵
That’s why provenance (the data’s passport) matters. It tells us the source, the timestamp, the author.
We built decision rules:
• High-tier objective data (labs) can override others
• Most recent data carries heavy weight
• A provenance score flags how trustworthy the source is.
Then we hand the final say to you—the patient.
(8/9)
We are starting testing of the mobile app in Test Flight. Let me know if you are interested in testing- it would require downloading the Test Flight app in the apple app store and also having a My Medical Records account (free).
If you’re a podcaster, consider making use of @descript new AI feature to save you time and headache, Underlord. I’ve used this in my podcast #futureofpsychiatry and it was incredibly helpful https://t.co/HnKwF7AocX #ad#affiliate#marketing