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Clinical workflow performance study v1.0.0

Use this resource to measure and reduce friction in a clinical documentation workflow

New

  • 448 downloads
  • 183 likes
  • 238 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install clinical-workflow-performance

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent separates device and network conditions, capture time, processing wait, review effort and EHR handoff, while protecting patient and clinician identity. It works from measured stages, not imposed latency targets.

Mostly picked by

Updated November 2, 2026

Card for the “Clinical workflow performance study” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: method for measuring stages and protecting data
  • references/official-docs.md: official Abridge documentation

Good fit for

  • Clinicians report slow capture or hard handoffs
  • You want evidence before changing a workflow

Not for

    Tags

    • healthcare
    • performance
    • workflow
    • measurement

    About

    You say

    “Clinicians complain about the delay before reviewing notes. Measure the workflow stages.”

    Card for the “Clinical workflow performance study” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to measure and reduce friction in a clinical documentation workflow
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/official-docs.md1.7 KB
    • SKILL.md4.9 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/.curated/abridge-performance-tuning
    Licence
    MIT

    Notice

    « abridge-performance-tuning » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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