Healthcare
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Agent
Healthcare · Automation
Patient safety incident themes
AI analysis of patient safety incident reports
Incident reports are grouped by theme and contributing factor, so the safety team sees patterns across wards and sites each week.
01 today
The problem
Staff report incidents in free text, and safety teams read hundreds a month. Categories are applied inconsistently, so patterns across wards or sites, such as repeated falls at night or the same medicine involved in errors, are hard to spot.
02 the run
What the AI does
- Step 1: Reads new incident reports from your incident system.
- Step 2: Suggests a category and likely contributing factors, such as staffing, handover or equipment.
- Step 3: Groups similar incidents across wards and sites, and links them to earlier ones.
- Step 4: Highlights reports that may need urgent review under your policy, such as serious harm.
- Step 5: Produces a weekly themes report for the safety team, with links to every report.
paused: waiting for a person to approve
03 human in the loop
Where a person approves
The safety team confirms categories and decides on investigations and actions. Reports that may need urgent review always go to a person straight away.
04 after
What changes
Safety teams spend their time on learning and action rather than sorting, and repeat patterns show up in weeks rather than at the annual review.
Case studyLearning from every safety incident, not just the serious onesThe rollout, what to measure, a worked example and the research behind it.see also
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Custom app
Tell us how your business runs. We'll tell you where AI fits.
A free 30-minute call. You talk, we ask questions, and you leave with a few concrete ideas — or an honest answer that AI isn't the right fix yet.
Working with teams around the world.