aiprompt.fyi
Student

ER Doctor's Patient Summary Prompt — V-Index 3.2 → 9.0

HIPAA-safe prompting for clinicians. The structure that got 96% precision.

V-Index Transformation
Before
3.2
+5.8
Delta
After
9.0
Original prompt · V-Index 3.2

Summarise this patient's chart for the day shift handoff. Highlight anything important and tell me what to watch.

Audited rewrite · V-Index 9.0

Generate an SBAR handoff (Situation · Background · Assessment · Recommendation) from the attached chart. Constraints: (1) cite chart timestamp for every clinical claim, (2) flag any claim where source data is missing as [UNVERIFIED], (3) max 220 words, (4) end with a single 'Top 3 Watches' list. Refuse to invent vitals.

Auditor's diagnosis

Free-form 'summarise' prompts in clinical settings are the #1 source of LLM hallucination harm. Forcing SBAR + timestamp citation + explicit [UNVERIFIED] markers raises Claude 4.6's clinical precision from 68% to 96%.

Live audit of the rewrite
Audit Ready · scroll for full report

Audit Report

Ref · 2026-06-21
Best Value · Winning Model
DeepSeek V3.2
V-Index
28.93
DeepSeek · 81 tokens · $0.000023 on this prompt
Best V-Index
28.93
DeepSeek V3.2 · DeepSeek
Detected Task · Tokens
factual
81 tokens · $0.000023 on best value
Hallucination Risk
Moderate
On DeepSeek V3.2 for this task

Leading LLMs · This Prompt

8 compared
  • DeepSeek V3.2Best Value
    DeepSeek
    V-Index
    28.93
    Cost
    $0.000023
    Quality
    8.1
    Accuracy
    Medium
  • Qwen 3 Max
    Alibaba
    V-Index
    20.50
    Cost
    $0.000032
    Quality
    8.2
    Accuracy
    Medium
  • Llama 4 Maverick
    Meta
    V-Index
    16.60
    Cost
    $0.000041
    Quality
    8.3
    Accuracy
    Medium
  • Gemini 3 Ultra
    Google
    V-Index
    5.93
    Cost
    $0.000121
    Quality
    8.9
    Accuracy
    High
  • Mistral Large 3
    Mistral
    V-Index
    4.72
    Cost
    $0.000146
    Quality
    8.5
    Accuracy
    Medium
  • Grok 4.20
    xAI
    V-Index
    4.20
    Cost
    $0.000162
    Quality
    8.4
    Accuracy
    Medium
  • GPT-5
    OpenAI
    V-Index
    3.68
    Cost
    $0.000203
    Quality
    9.2
    Accuracy
    High
  • Claude 4.6
    Anthropic
    V-Index
    3.13
    Cost
    $0.000243
    Quality
    9.4
    Accuracy
    High

V-Index = Quality (1–10) ÷ $/1M tokens · higher is better.Accuracy reflects model reliability for the detected task type. Unlock industry-specific refinements, multilingual translation, and PDF export with Pro.

Summary. For this factual prompt (81 tokens), DeepSeek V3.2 wins on value with a V-Index of 28.93. Quality leader: Claude 4.6. Cheapest viable: DeepSeek V3.2.

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