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Case StudyHealth AI·Bootcamp

How a 6-week bootcamp turned young nurses into a health AI company's best data team.

A healthcare AI company needed people who understood patients and data, and couldn't find them. Skillfi designed the Clinical AI Fellowship, a 6-week bootcamp that took early-career nurses and allied health graduates into AI data roles, two cohorts at a time. 22 fellows joined the company and beat its accuracy target from their first month. It's how our career accelerator works: new careers for people, ready talent for employers.

Clinical labelling accuracy
88%→97%
22Fellows hired from 30
6 weeksFrom clinic to AI team
91%Still there after a year
01

Great AI models need people who know what a patient chart means.

The company builds AI that reads clinical notes and flags patients who need attention. Its models are only as good as the data they learn from, and that data has to be reviewed and labelled by people who understand medicine.

It had outsourced labelling to a general data vendor, and accuracy sat at 88%, below the 95% its hospital customers expected. Experienced clinicians on contract were accurate but expensive and hard to keep. Meanwhile, plenty of young nurses and allied health graduates were looking for a way out of shift work, with no idea that AI companies needed exactly their knowledge.

88%accuracy, target 95%
3xcost of clinician contractors
0clinical hires in its data team

Our vendor's reviewers didn't know a medication from a diagnosis. The clinicians who did cost a fortune and never stayed long.

Head of Data, client
02

Build a fellowship, not a job ad. Train first, then hire the best.

Skillfi designed and ran the bootcamp with the client's clinical and data leads, so every lesson matched the real job. Sourcing, screening and the final hiring showcase were run alongside our fractional recruiter team.

Select

The right fellows

1,100 applicants screened with a short clinical reasoning test and a data task, then 30 fellows chosen across two cohorts.

Train

A bootcamp built on the real job

Six weeks of live sessions, the client's own labelling tools and anonymised cases, ending in a capstone judged by its data team.

Hire

Offers on showcase day

Fellows presented their capstones to the hiring panel, offers went out within a week and mentors stayed on for the first 90 days.

The Engagement

5 months, cohort by cohort

From an empty job description to a clinical data team that beats its accuracy target. Here's how the fellowship unfolded.

  1. Week 1–3

    Role & curriculum design

    The data specialist role mapped with the client's leads and turned into a 6-week curriculum built on real tasks.

    6 modules
  2. Week 3–6

    Sourcing & selection

    Outreach through nursing schools, health networks and online communities, then screening tests and interviews.

    1,100 applicants
  3. Week 7–12

    Cohort one

    15 fellows through the full bootcamp, with weekly accuracy checks against the client's own quality bar.

    15 fellows
  4. Week 13

    First showcase day

    Capstones presented to the hiring panel, with offers made within a week.

    11 offers
  5. Week 14–19

    Cohort two

    A second cohort of 15, improved with feedback from the first group and their new managers.

    15 fellows
  6. Week 20

    Second showcase & handover

    11 more offers and the bootcamp playbook handed over, so the client can run future cohorts.

    22 hired
Inside the Fellowship

Six weeks, from clinic to AI team

Fellows already knew medicine. The bootcamp taught them how AI learns from data, and how to make that data trustworthy.

Week 1–2Foundations

How health AI works

  • AI & data basics
  • How models learn
  • Patient privacy rules
Week 3Craft

Labelling with care

  • The client's labelling tools
  • Clinical guidelines
  • Speed with accuracy
Week 4–5Quality

Catching what AI misses

  • Edge cases & disagreements
  • Spotting bias in data
  • Peer review
Week 6Capstone

Ready on day one

  • Real anonymised project
  • Showcase to the panel
  • Workplace skills
Every cohort: Showcase dayFellows present their capstone work to the hiring panel, so offers are based on real work, not interviews alone.
Cohort 1 · 11 hired Cohort 2 · 11 hired Year 1 · 91% retained
The Results

One year after the first cohort

Clinical labelling accuracy

General data vendor88%
Bootcamp fellows97%
0%25%50%75%100%

Above the 95% target hospital customers expect.

Fellows hired30 trained→22 hired
Cost per reviewed record—→−34%
Time to full productivity3 months→4 weeks
Tech staff from clinical roles0%→17%
Fellows' pay vs previous role—→+14%
HD

The fellows understood the patient behind every record from day one. We now run our own cohorts with Skillfi's playbook, and it's become our main hiring route for data roles.

Head of Data, client
Your Turn

Can't find the talent? Build your own cohort.

Our career accelerator designs and runs bootcamps around your real roles, so graduates and career changers join ready to work. Need help finding the right people to train? Our fractional recruiter team can fill your cohorts.

What we'd build for you
  • Role & curriculum design
  • Sourcing & selection
  • Bootcamp delivery, cohort by cohort
  • Showcase day & hiring
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