Units
1. Introduction to Artificial Intelligence in Psychology: Boundaries, Responsibility and Ethics 2. Privacy, KVKK and Protection of Client Data 3. Literature Review and Access to Evidence-Based Information 4. Supporting Scale and Test Interpretation 5. Preparing Session Notes and Clinical Report Draft 6. Creating Psychoeducational Materials and Content for the Client 7. Research Design and Data Analysis Support 8. Bias, Representation, and Cultural Sensitivity 9. Crisis, Risk and Suicide: The Definitive Frontier of Artificial Intelligence 10. Therapeutic Chatbots and Digital Mental Health Tools 11. Supervision, Professional Development and Administrative Workflow 12. End-to-End Integration: Ethical AI Use Policy
Unit 5 / 12

Preparing Session Notes and Clinical Report Draft

Gains:

  • Ability to set up configured prompts to generate session notes and report drafts in SOAP/DAP format from anonymized inputs
  • Ability to audit the AI manuscript for clinical accuracy, omitted information, and fabricated content, keeping final responsibility with the expert
  • Ability to improve language, watermarking and objectivity standards in notes and reports with artificial intelligence support

One of every mental health professional's least favorite but most necessary tasks is keeping records: session notes, progress reports, referral letters, agency reports. These documents are both a clinical memory (telling you where to continue in your next session) and a legal record (proving what you did when needed). But taking good notes takes time, and this accumulated burden after sessions is a major source of burnout (professional fatigue and emotional discharge). Artificial intelligence (AI) can seriously reduce this burden: organizes scattered notes into an organized format, outlines a report, professionalizes language. However, a session note is a clinical and legal document; Even a single sentence made up by AI can have serious consequences. In this unit you will learn to use AI as a safe writing assistant in memo and report.

Note formats: SOAP and DAP

Clinical notes are generally kept in standard formats. The two most common are:

  • SOAP: Subjective (what the client tells), Objective (observations/measurements), Assessment (clinical evaluation), Plan (plan). That is, "subjective - objective - evaluation - plan".
  • DAP: Data, Assessment, Plan. It is a simplified version of SOAP.

AI knows these formats very well and puts your messy raw notes into this structure in seconds. But be careful: the assessment part is clinical judgment; Don't let AI "fill in" there. AI can organize the data, but the evaluation must come from your pen.

Attention: The session note is a legal document and bears your signature. The AI ​​may make up a statement that is not actually said in the draft (hallucinate) or miss an important risk. You are responsible for every sentence of the final note; Never save the draft without comparing it with what actually happened in the session.

AI's two big risks in note-taking

1. Addition (hallucination). To make the note appear “more complete,” the AI ​​adds details that were not there in reality: a sentence not spoken, an intervention not performed, a symptom not observed. The sentence "the client stated that he had no suicidal thoughts" in a note is a dangerous fabrication unless you asked for it.

2. Subtraction (jumping). When summarizing, AI might drop an important but “seemingly minor” detail: an implication of risk, a medication change, a boundary violation. Summary by its very nature loses; so it is essential to check what the summary is losing.

Step by step: secure note/report flow

  1. Keep your raw note anonymous. De-identify any rough notes you took during/after the session before feeding them to the AI ​​(see Unit 2).
  2. Specify the format. Tell the AI ​​which format you want (SOAP/DAP) and which section not to fill.
  3. Just ask him to work from the information you give him. Be sure to include the instruction "Do not add, do not write unless I have written it."
  4. Write the review yourself. Don't leave the assessment part to AI; Let the clinical judgment come from you.
  5. Compare the sketch with reality. I ended each sentence with "did this really happen?" Check it out; fix anything added/omitted.
  6. Take responsibility. The final document is yours; You are responsible for every sentence that bears your signature.
Tip: It's not enough to tell AI "don't add"; when checking the output, specifically "did I say this detail or did AI add it?" Ask the question separately for each risk/security sentence. The most dangerous fabrications are the ones that seem the most plausible.

three mini cases

Case 1 — Dangerous addition. An expert has the AI ​​transcribe his messy 20-minute notes into SOAP format. There is a sentence in the draft: "The client did not report any thoughts of harming himself." However, the expert never brought up this issue during the session; AI added the sentence to "complete" it. The expert notices this and deletes it. If he had not noticed, there would have been an impression that a risk that was never asked about in the record was "asked about and excluded", which would be a serious misrecording in law.

Case 2 — Time savings. In a clinic, a psychologist sees 6 sessions a day and takes 15 minutes to write each note by hand, for a total of 90 minutes. He has the AI ​​convert anonymous raw notes into regular SOAP drafts and proofread each one in 4 minutes, reducing the total time to ~25 minutes. Gain ~65 minutes per day; He writes the evaluation sections himself.

Case 3 — Correcting stigmatizing language. In one agency report, the expert wrote, "the client is manipulative and resistant." It tells the AI ​​to “translate these expressions into language that does not stigmatize, but describes behavior.” AI suggests a descriptive alternative such as “the client tended to change the subject at moments when boundaries were discussed.” The expert confirms and uses its accuracy; The report will be both fairer and more professional.

Copiable prompts and templates

Edit my anonymous raw session notes below into SOAP format (Subjective, Objective,Assessment, Plan). RULES: Work only from the information I give, DO NOT ADD ANY details. Do not write down any symptoms, statements or interventions that I have not written down. Mark where you are not sure as [MISSING INFORMATION]. Leave the Assessment section BLANK and I'll write it.Raw notes: [notes]

In this draft note, list every sentence or detail that is NOT in my raw input. In particular, mark statements related to risk, safety and diagnosis separately so that I can check for fabrication. Raw input: [input] Draft: [draft]

Suggest that I translate the stigmatizing, judgmental, or labeling phrases in the following report paragraph (e.g., “manipulative,” “resistant,” “histrionic”) into neutral language describing the behavior. Don't change the content, just make the language fair and professional. Text: [text]

Write a checklist of standard sections that may be missing in this progress report draft (e.g. problem presented, objectives, approach taken, progress, plan, risk assessment status). Mark which headings I haven't filled out yet. Draft: [draft]

Weak prompt / Strong prompt

Weak prompt: "Write a nice, complete SOAP note from the following session: [a few scattered sentences]"

The demand for “complete” and “beautiful” pushes AI to fill in the gaps by making things up; the note becomes "enriched" with details that do not actually exist.

Powerful prompt: "Edit the raw note below into SOAP. Just work from the information I gave you, don't add anything; mark the missing fields as [MISSING]. Leave Assessment blank. Then ask me what information I should add."

This prompt puts the AI ​​in the regulatory role, preventing it from making up loopholes, leaving the evaluation to the expert.

Common mistakes

  • Asking for a “complete note.” Inviting AI to fill the gap; This is the most common source of fabrication.
  • Having AI write the assessment. Delegating clinical evaluation to software; However, that judgment is yours.
  • Saving the draft without comparing it with reality. Not noticing added or omitted risk phrases.
  • Pasting client data without anonymizing it. Note content is private data; It cannot be given to the vehicle without protection.
  • Mistaking stigmatizing language for “professional”. Mistaking labeling adjectives for clinical language; However, a good grade describes behavior and does not label the person.

In summary

AI session notes and reports are a powerful time saver in bringing messy input into an organized format (SOAP/DAP), professionalizing language and correcting stigmatizing phrases. But the note is a clinical and legal document; AI may add something that doesn't actually exist (hallucination) or omit an important detail. Write the evaluation section yourself, compare the draft with what actually happened in the session, take responsibility for each sentence. Do not provide data to the tool without anonymizing it.

Application task

Anonymously write a 5-6 sentence raw note of an imaginary session. Give this to the AI ​​by saying "Convert to SOAP, don't add anything, leave Assessment blank." Compare the output line by line with your raw input and mark each statement that the AI ​​added or changed. How many “makes” or “over-interpretations” have you found? Then write the Assessment section yourself.

checklist

  • [ ] I anonymized the raw note.
  • [ ] I instructed the AI ​​"do not add, mark the missing".
  • [ ] I wrote the assessment section myself.
  • [ ] I compared the draft with what actually happened in the session.
  • [ ] I also checked the risk and security sentences.
  • [ ] I accept that I am responsible for every sentence of the final note.
Previous Next