Tendril — AI Lessons for Real Life

Tendril

What AI touches

Ambient documentation — psychiatry-tuned scribes.

Measurement-based care — PHQ-9, GAD-7, AUDIT, C-SSRS on app.

Pharmacogenomic support — dose suggestions by genotype.

Suicide risk flags — EHR-based risk stratification.

Session transcript analysis (when consented) — theme tracking across visits.

Telepsychiatry scheduling and group matching.

Specialized tools

Tools like Eleos and Blueprint — therapy note drafting and MBC.

Abridge and Nuance DAX Copilot — ambient scribes.

Tools like GeneSight and Tempus for pharmacogenomics.

Osmind and SimplePractice — specialty EHRs.

Tools like NeuroFlow for population mental health.

Task	Before AI (2020)	Now (2026)
Progress notes	20 min each, nights.	5 min review after visit.
Symptom tracking	Rarely done.	Standard, pre-visit.
Med selection	Trial and error.	PGx + MBC narrows faster.

Task

Before AI (2020)

Now (2026)

Progress notes

20 min each, nights.

5 min review after visit.

Symptom tracking

Rarely done.

Standard, pre-visit.

Med selection

Trial and error.

PGx + MBC narrows faster.

If you want to be a psychiatrist: Medical school, four-year residency in psychiatry, optional fellowship (child, addiction, forensic, consult-liaison). Strong candidates have humanities backgrounds — literature and philosophy train the ear psychiatry rewards. Do therapy training during residency; the field is re-valuing psychotherapy skills as meds become more measurement-driven. Ask for feedback on your presence, not just your prescribing.

End-of-lesson check

8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-career2-psychiatrist-deep

What is the main idea of "Psychiatrist in 2026: Measurement-Based Care at Scale"?

Symptom tracking, therapy notes, and prescribing patterns are now data-rich.
Use AI as the final authority for the whole decision
Avoid checking the answer once it sounds polished
Focus only on speed instead of judgment

Which concept is most central to "Psychiatrist in 2026: Measurement-Based Care at Scale"?

pharmacogenomics
measurement-based care
suicide risk
documentation

Which use of AI fits this topic best?

Let the AI decide what matters without your review
Use the answer before checking whether it fits the situation
Ambient documentation — psychiatry-tuned scribes.
Treat the AI output as automatically correct

What should a careful learner remember about "Never let AI into a session without consent — and think hard even then"?

Use AI to draft or organize ideas about measurement-based care, then verify before acting.
Skip the context so the tool can guess faster
Treat the output as private even after sharing it online
Use the answer without checking the source

You want to use AI after this lesson. What is the safest next step?

Act immediately because the AI answer is written clearly
Use AI for drafting and comparison, but verify before publishing or relying on it.
Hide uncertainty so the final answer looks cleaner
Use private or sensitive details before checking permission

How should AI output about measurement-based care be treated?

As proof that no other source is needed
As a replacement for context, consent, or expert review
As a draft or helper output that still needs human judgment and verification
As something that becomes correct when it sounds confident

Name one way to verify an AI answer about measurement-based care.

Which action would help you apply "Psychiatrist in 2026: Measurement-Based Care at Scale" responsibly?

Use the tool to avoid thinking through the tradeoff
Keep going even if the output conflicts with a trusted source
Treat the AI output as automatically correct
Measurement-based care — PHQ-9, GAD-7, AUDIT, C-SSRS on app.