Presentation & time course
Reason for assessment, symptom chronology, behavior, mental status, relevant patient history, and medical or psychiatric contributors.
Clinical approach & practical guide
How to use AI Psychiatry for complete cases and updated assessments
Start with the whole clinical picture. Review the reasoning. Then incorporate new findings into a fresh analysis when the patient's condition changes.
AI Psychiatry is a board-certified psychiatrist-designed Clinical Intelligence System for clinician-facing psychiatric decision support. AI Psychiatry is designed to analyze comprehensive psychiatric cases rather than answer isolated medication or diagnostic questions. Each analysis is independent, allowing clinicians to incorporate updated clinical information into a new assessment.
For licensed clinicians. Clinical judgment, verification, and patient-care decisions remain with the treating professional.
Initial assessment
1. Give the system the clinical case—not just the question
The quality of an analysis depends on the clinical information supplied. Start with enough context to support a meaningful review of competing explanations, safety, medications, and disposition.
Physiology & actual exposure
Current medications and what was actually administered, substances, vital signs, available laboratory results, ECG or other diagnostics when relevant.
Safety, capacity & collateral
Current safety concerns, decision-specific capacity findings, observation status, available collateral, and unresolved questions.
The clinical decision
State what you need to decide: differential diagnosis, treatment, medication considerations, capacity, observation, hospitalization, or discharge planning.
Follow-up workflow
2. Reassess the same case when new information arrives
Imagine your first analysis identifies missing capacity findings, unresolved suicide risk, or medication precautions. Later, the patient is reassessed, collateral is obtained, or the physiology changes.
You do not need to reconstruct the entire case from memory—but you do need to submit its relevant context again. The application uses a one-shot, non-retaining workflow.
- Before clearing, copy the submitted case. Select and copy the clinical information shown in the light-gray Submitted Clinical Information box.
- Choose “Clear / New Analysis.” The prior submission is cleared from the workspace. Start a new, independent analysis.
- Paste the original relevant clinical information. Keep the clinical background and earlier findings needed for interpretation. Label older findings as historical, and correct inaccuracies or superseded facts.
- Append a clearly dated update. Add “Day 2 — new information” or another unambiguous heading, explain what materially changed, and ask the system to reassess current decisions.
- Review the new output independently. Compare it with the earlier conclusion, verify reference-sensitive details, and decide what is clinically appropriate now.
Example: How to submit an updated clinical case
ORIGINAL CLINICAL PRESENTATION [Paste the relevant prior case presentation here. Include the original timepoint and clinical findings.] DAY 2 — UPDATED INFORMATION - Current clinical state and vital signs: - Changes in mental status or medical condition: - Capacity findings for the specific decision (understanding, appreciation, reasoning, choice): - Current suicide/safety assessment and new collateral: - Medication actually received since prior review: - Updated labs, ECG/QTc, or other relevant findings: - Changes in observation or disposition options: CLINICAL QUESTION Please reassess the current formulation, safety, decision-specific capacity, medication considerations, observation and disposition. Distinguish prior findings from current findings and explain any changed recommendations.
Template only—no patient information is included. Use dates and actual observed findings. Do not treat examples or missing fields as evidence of a clinical conclusion.
Important: Copy your prior input before selecting “Clear / New Analysis.” The application is not a longitudinal patient record and does not automatically carry forward previous case text or recommendations.
What meaningful updates look like
3. Ask the system to reconsider what changed
The most useful follow-up is not simply “What now?” It states what was previously uncertain, supplies new findings, and asks for a fresh assessment rather than assuming the prior recommendation remains correct.
Decision-specific capacity
If capacity was previously not established, add the patient's demonstrated understanding, appreciation, reasoning, and ability to communicate a choice for the particular decision. Include relevant changes in delirium, intoxication, or other conditions affecting assessment. Ask for a new, decision-specific capacity analysis.
Suicide risk, safety & disposition
If observation, collateral, or further stabilization was recommended, document the current safety assessment, collateral actually obtained, and changes in medical or psychiatric status. Ask for independent reassessment of safety, observation, treatment needs, and whether psychiatric hospitalization is indicated.
Medication considerations
If treatment options were identified, provide medications actually administered, response and adverse effects, updated physiology, and relevant labs or ECG/QTc data. Ask about a particular medication in the context of the full current case and independently verify dosing, monitoring, contraindications, and interactions against current authoritative sources.
Diagnostic uncertainty
If the formulation was provisional, explain what new evidence is available after observation, treatment, or medical stabilization. Ask whether the differential and diagnostic confidence should change—without assuming that a previous diagnosis or safety event permanently determines the outcome.
Clinical methodology
Structured reasoning, explicit uncertainty, and clinician review
AI Psychiatry's Clinical Intelligence System is organized around whole-case psychiatric reasoning. Depending on the presentation, the analysis may address diagnostic formulation, medical contributors, medication considerations, suicide and safety risk, decision-specific capacity, observation, psychiatric hospitalization, and disposition.
Useful clinical decision support should explain why a conclusion is being considered, what remains uncertain, and which new information could change the recommendation.
For questions that depend on current product labeling, clinical guidelines, local protocols, or precise monitoring parameters, confirm the relevant details against authoritative sources before acting.
This overview describes the clinician-facing approach. It does not disclose proprietary clinical decision rules, and it is not a substitute for direct patient assessment or specialist consultation when needed.
Practical reminders
- Clearly distinguish historical information from the patient's current state.
- Include what medications were actually received, not only what was ordered.
- Reassess capacity and safety from the updated examination rather than carrying prior conclusions forward.
- Consider psychiatric treatment need separately from psychiatric hospitalization need.
- Verify exact prescribing and medically consequential recommendations using current sources and clinical judgment.
- Use the approved clinical workflow for sensitive information; do not send patient data through ordinary support email.
Board-certified psychiatrist-designed
Clinical intelligence built to support—not replace—professional judgment
AI Psychiatry is intended for physicians, nurse practitioners, and other appropriately licensed clinicians working through difficult psychiatric presentations. Treat its output as decision support, not as an autonomous diagnosis, prescription, capacity ruling, or disposition order.
The treating clinician remains responsible for assessing the patient, verifying relevant facts, applying local standards, and making care decisions.
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