Clinical Reports

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by davila7 · vlatest · Repository

Generates structured clinical report drafts based on provided patient data, streamlining documentation and improving accuracy for healthcare professionals.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add clinical-reports npx -- -y @trustedskills/clinical-reports
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "clinical-reports": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/clinical-reports"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

The clinical-reports skill enables AI agents to generate, parse, and format medical documentation based on patient data or clinical notes. It streamlines the creation of discharge summaries, referral letters, and progress reports by structuring unstructured input into standardized templates.

When to use it

  • Drafting discharge summaries from raw physician notes to ensure consistent formatting.
  • Converting unstructured consultation logs into formal referral letters for specialists.
  • Organizing patient progress updates into structured records for electronic health systems.
  • Creating initial drafts of clinical reports to reduce manual typing time for healthcare staff.

Key capabilities

  • Generates standardized medical documentation from raw input data.
  • Parses and structures unstructured clinical notes into formal report formats.
  • Adapts content to specific report types like discharge summaries or referral letters.

Example prompts

  • "Generate a discharge summary for a patient with hypertension based on the following admission notes: [insert notes]."
  • "Format these consultation logs into a formal referral letter addressed to Dr. Smith."
  • "Create a progress report structure using the latest patient vitals and treatment history provided below."

Tips & gotchas

Ensure all input data is accurate and verified by a qualified medical professional before finalizing any generated reports, as AI output requires human oversight in clinical settings.

Tags

🛡️

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Details

Version
vlatest
License
Author
davila7
Installs
180

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Passed automated security scans.