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How To Keep Your Notes Personal–Even When Using AI Hero Image

How To Keep Your Notes Personal–Even When Using AI

Dr. Eli Neimark's profile picture
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4 min read

Does using an AI Therapy notes tool mean sacrificing the unique clinical voice that makes your documentation meaningful? AI is not meant to be a replacement for your voice and expertise, but rather as a customizable assistant that handles the structure, so you can focus on the nuance and depth of your notes.

With the right strategies, you can train your AI tool to produce notes that are not only efficient but also authentically yours. Explore the ways you can ensure your clinical notes are personal and accurate for practice.

Why Your Therapeutic Voice Is a Non-Negotiable for Personalized AI Notes

A fear that AI will homogenize therapy notes is valid, but the solution isn't to reject the technology; it's to insist on one that adapts to you. Your therapeutic voice is your professional signature, and preserving it is crucial for three core reasons:

  • Clinical Utility: Your unique phrasing and focus areas are what make the note a true clinical tool, not just administrative clutter. Tracking a client's subtle shifts in narrative or affect over time relies on consistent, personalized language that reflects your theoretical lens. A generic note loses this nuanced direction.
  • Legal & Ethical Defensibility: A personalised note demonstrates active, individualized care, providing a clear narrative that protects both you and your client.
  • Therapeutic Integrity: The note is an extension of your work. It should sound like it came from you, preserving the authenticity of the therapeutic relationship. This integrity is the foundation of trust.

3 Practical Strategies to Personalize Your AI Therapy Notes

A powerful AI for writing therapy notes shouldn't force you into a box. It should provide a structure you can mold to your voice. The goal is a partnership where the AI handles the framework, freeing you to focus on the clinical nuance that truly matters.

Master Custom Templates & Prompts

The Concept

The biggest mistake is settling for a generic template. The best AI for writing therapy notes allows you to build frameworks that match your theoretical orientation (e.g., CBT, DBT, Person-Centered), ensuring the structure of your note reflects your approach.

What Steps to Take

  • Structure Your Modality: Create a custom template with dedicated sections for what you actually do.
    • Example: for a CBT Model, this could be “Automatic Thoughts Identified” and “Cognitive restructuring”.
  • Use Smart Prompts: Guide the AI from the start. Instead of “Session Focus”, try a specific prompt like “Focus: DBT for emotion regulation, focusing on distress tolerance skills”. This guides the AI to listen for and highlight specific content.
  • Embed Your Go-To Phrases: Pre-populate your templates with your frequently used language. If you consistently describe a client as “presenting with a bright and full affect”, this steers the AI away from simpler terms.

Train The AI with Active Feedback

The Concept

Think of your AI for writing therapy notes as a new supervisee; it learns through consistent feedback. Your active engagement in the first few weeks is the investment that pays off in highly personalized AI notes later.

What Steps to Take

  • Edit Deliberately: Always make corrections within the AI’s platform. Changing “client was sad” to “client presented with dulled affect” teaches the AI your clinical lexicon.
  • Reinforce Your Style: Pay attention to the AI’s tendencies. If its language is too passive (“It was suggested”), change it to your active voice (“I recommended”). If it's too verbose, trim the fluff. The system's adaptive learning will pick up on these stylistic preferences.
  • Flag Key Nuances: Use the feedback functions when the AI misses a client quote or insight. This reinforces what you consider clinically significant and helps mitigate potential AI inaccuracies.

Own Your Final Review

The Concept

The AI generates the draft, but you provide the meaning. This final review is where you transform a good note into a great one that is unmistakably yours.

What Steps to Take

  • Add the “Why”: The AI can document what you did; you explain why you did it.
    • After a line like “Mindfulness exercise was practiced”, add your rationale: ”to ground the client amid rising panic symptoms.” This documents your clinical reasoning.
  • Curate Client Quotes: The AI will transcribe the conversation. Your job is to be the editor.
  • Refine Clinical Judgment: The AI might list a problem from a dropdown menu. You must ensure the “Assessment” and “Treatment Plan” sections reflect your professional judgment. Does the prognosis need adjusting? Is the treatment direction shifting based on today's session? The final layer of analysis is irreplaceable.

Quick Start Checklist for Personalizing AI Therapy Notes

Transform your AI therapy notes from generic to personalized with this actionable plan:

  • Audit: Read through 3 past notes. Write down 2-3 unique phrases that capture your clinical voice (e.g., “client demonstrated cognitive flexibility”)
  • Template: Spend 15 minutes creating one custom template in your AI tool that reflects your core modality.
  • Correct: For one week, make all the edits within the AI platform; this is how it will learn your preferences.
  • Refine: Use the time saved. Add one sentence or clinical insight to each final note, cementing your judgement.

This investment builds a tool that works for you, not against you.

Conclusion

Adopting an AI therapy notes tool shouldn’t mean sacrificing your clinical voice; it should mean amplifying it. By moving beyond generic templates and actively training the system, you create a true partnership. The result is documentation that is not only efficient but also compliant and personal.

Ready to see how AI can adapt to you? Discover the difference with a platform built for personalization. Explore Twofolds AI therapy notes today.


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ABOUT THE AUTHOR

Dr. Eli Neimark

Licensed Medical Doctor

Dr. Eli Neimark is a certified ophthalmologist and accomplished tech expert with a unique dual background that seamlessly integrates advanced medicine with cutting‑edge technology. He has delivered patient care across diverse clinical environments, including hospitals, emergency departments, outpatient clinics, and operating rooms. His medical proficiency is further enhanced by more than a decade of experience in cybersecurity, during which he held senior roles at international firms serving clients across the globe.

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