01
Gather the raw account
Capture baseline, last known well, current presentation, possible contributing clues, witness accounts, direct findings, and care already provided.
Made for EMTs
Uncover the Story Behind Altered Mental Status
Also useful for: people in Healthcare
8 min
Advanced
Healthcare
Build Professional Skills
Organize scattered altered mental status details into a source-labeled timeline, focused information gaps, and a clear receiving-facility handoff.
We'll use them to write your prompt.
Completed ✓
Make Your Play
Give us the situation. We’ll build the prompt.
Build a reliable account of what changed, when it changed, and what may have contributed without mixing observations, witness reports, and assumptions.
Your answers save as you type.
What you'll do
This is the plan inside your prompt. Add your details first. Then follow these steps with ChatGPT or Claude.
02
Reconstruct the sequence
Use the AI assistant to order events, separate baseline from the current condition, and expose conflicts or missing links.
03
Deliver the handoff
Convert the verified timeline into a short report that preserves uncertainty and highlights clinically relevant changes.
Make Your Play
Uncover the Story Behind Altered Mental Status
Tell us what the prompt needs to know
Start with the questions below. Each answer personalizes the playbook and builds the prompt you’ll use at the end.
Your situation
Describe the current presentation, onset information, time markers, symptom progression, and any changes during contact.
0/10000
State the usual mental status, usual level of independence, last known well, source of that information, and confidence in the time.
0/10000
List recent illness, medication use or changes, possible substance exposure, trauma, seizure activity, intake concerns, and relevant scene clues without assigning a diagnosis.
0/10000
Record who supplied each account, direct assessment findings, relevant trends, care already provided, and the response to that care.
0/10000
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What you'll do
Check a step when you finish it.
01
Gather the raw account
Capture baseline, last known well, current presentation, possible contributing clues, witness accounts, direct findings, and care already provided.
02
Reconstruct the sequence
Use the AI assistant to order events, separate baseline from the current condition, and expose conflicts or missing links.
03
Deliver the handoff
Convert the verified timeline into a short report that preserves uncertainty and highlights clinically relevant changes.
Fill in the fields above to generate your prompt preview.
Assembled prompt
Beginner instructions
Enter only information already gathered during care. Use approximate times when exact times aren’t available, and mark who provided each detail. Remove names, birth dates, addresses, and other identifiers before using an external AI tool.
Advanced instructions
Separate direct findings from reported history. Preserve conflicting accounts, medication names and doses as stated, changes after interventions, and the reliability of each source. Follow local stroke, trauma, overdose, seizure, and altered mental status protocols when applicable.
Use this when
You are assessing altered mental status and the history is incomplete, conflicting, spread across several witnesses, or limited by the patient's ability to answer.
You'll need
- Presentation and timeline
- Baseline and last known well
- Possible contributing clues
- Sources, findings, and care
You'll get
- Baseline mental status documented or marked unknown
- Last known well documented, qualified, or marked unknown
- Patient, witness, dispatch, and direct-observation details kept separate
- Timeline conflicts and critical gaps identified
- Concise handoff ready for radio or bedside delivery
By the end of this playbook
You will have:
- Baseline mental status documented or marked unknown
- Last known well documented, qualified, or marked unknown
- Patient, witness, dispatch, and direct-observation details kept separate
- Timeline conflicts and critical gaps identified
- Concise handoff ready for radio or bedside delivery
Examples
Progress 1 of 3