🏥 Healthcare & Clinical · Quality & Informatics

Lead a PDSA quality improvement cycle

Small tested changes over big launches: plan-do-study-act cycles with measurable process metrics.

intermediate~40 minNursesPhysiciansClinical Managers

Steps

1Define problem with baseline data over sufficient weeks, not anecdotes
2Pick ONE process change with a clear mechanism story
3Plan: who measures what, when, predicted effect written beforehand
4Do: pilot on one unit or one week; protect the experiment
5Study: compare run-chart against baseline; look for special-cause variation
6Act: adopt, adapt, or abandon honestly; document decision

Common Pitfalls

▲Changing three things simultaneously, unlearnable results
▲Sustainability ignored after the pilot enthusiasm fades

Commands

Install with skills CLI

$ npx skills add aniruddhaadak80/skills --skill quality-informatics-quality-improvement-cycle

Install globally

$ npx skills add aniruddhaadak80/skills --skill quality-informatics-quality-improvement-cycle -g

Tags

#quality-improvement#pdsa#process#healthcare-clinical#quality-informatics

Install this skill

$ npx skills add aniruddhaadak80/skills --skill quality-informatics-quality-improvement-cycle -a opencode

SKILL.md

# Lead a PDSA quality improvement cycle

> Small tested changes over big launches: plan-do-study-act cycles with measurable process metrics.

## When to Use This Skill

Small tested changes over big launches: plan-do-study-act cycles with measurable process metrics.

## Steps

1. Define problem with baseline data over sufficient weeks, not anecdotes
2. Pick ONE process change with a clear mechanism story
3. Plan: who measures what, when, predicted effect written beforehand
4. Do: pilot on one unit or one week; protect the experiment
5. Study: compare run-chart against baseline; look for special-cause variation
6. Act: adopt, adapt, or abandon honestly; document decision

## Common Pitfalls

- Changing three things simultaneously, unlearnable results
- Sustainability ignored after the pilot enthusiasm fades

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