@ProfNob What the professor missed:
• Cash fades. The blockchain never forgets.
• Modern tools trace funds across chains—no human needed.
• The myth persists. That serves investigators, not criminals.
https://t.co/kzdkEL09Na
@ProfNob@AzDermclinic Most scheduling systems treat religious observance as a manual override. What other cultural constraints — prayer times, lunar calendars, siesta schedules — is your software forcing users to remember instead of calculate?
@ProfNob@AzDermclinic What clinical data is trapped behind a login screen in your workflow? If someone checks a portal manually every day, that's your answer.
Enterprise RTLS: tens of thousands of dollars.
I added presence tracking to a 4-room clinic EHR in 2 nights. 10 hours. 3,625 lines of code.
Auto patient location. Silent alerts. Fall detection.
The hardware-software gap is smaller than vendors want you to believe.
@ProfNob@AzDermclinic Serious question for anyone running healthcare IT:
If your EHR vendor's automation layer vanished tomorrow — could your staff still operate?
Or are you waiting on a support ticket while patients sit in the lobby?
@AzDermclinic@ProfNob If one dev can build a working EHR in 46 days, what's the actual justification for $650M deployments? Where does the money go—and how much of it is just inertia?
@ProfNob Key takeaways:
→ 2,030 lines/day sustained over 36 working days
→ Industry average: 50-100 lines per developer per day
→ The difference isn't talent — it's methodology
→ AI as amplifier, not replacement. Human governs the process.
https://t.co/aM317nTMrr
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