Healthcare and life sciences
AI and technology training for healthcare and life sciences
Providers, trusts, care organisations and life sciences teams carry a duty of care that generic AI training simply does not account for. These cohorts run on administrative and operational work first, with clinical judgement treated as the thing the technology serves rather than the thing it replaces, and with the boundary said out loud rather than assumed.
The tools your organisation already pays for, actually used - and the ones worth buying next.
Built around healthcare and life sciences work
4 courses · 21 facilitated hours
Digital Change Without the Theatre
A half-day for the executive team that owns a change portfolio. Fewer initiatives, honest sequencing, and permission to stop things - the unglamorous decisions that decide whether digital investment lands.
Addresses: Culture & Support, Confidence & Skills
Director / Head of, Executive / C-Suite
Course outlineTechnology for Non-Technical Leaders
Enough understanding to ask good questions and not be sold to. For directors and executives who sign off technology decisions without a technical background.
Addresses: Confidence & Skills, Tools & Access
Director / Head of, Executive / C-Suite
Course outlineRunning a Rollout That Sticks
Most technology failures are adoption failures. This is about the twelve weeks after go-live: who champions it, what you measure, and how to tell early that it is not landing.
Addresses: Culture & Support, Daily Practice
Team Lead, Manager, Director / Head of
Course outlineEveryday Security for Busy Teams
The security habits that survive a busy week, updated for a world where the phishing email is written by a machine and sounds exactly like your supplier. No fear, no jargon - just what to do and when.
Addresses: Responsible Use, Confidence & Skills
Individual Contributor, Team Lead, Manager
Course outlineWhat this sector brings into the room
- Patient data is the first question, not the last
- Every session starts from what may and may not enter a tool, who owns that decision locally, and what the approved alternative is. Teams leave able to explain their own boundary to a colleague, which is what makes it hold.
- The administrative load is where the time actually goes
- Correspondence, referrals, summarising long records, drafting the same letter for the fortieth time. This is the work AI can genuinely lift, and it is where these cohorts spend their practice time.
- Automation lands on shift patterns, not on org charts
- Where robotics and automation reach logistics, pharmacy, labs and facilities, the operational course covers who owns the system on a Sunday night and what happens on the shift when it stops.
Also runs for any sector
These work the same way whoever is in the room. They are still delivered on your own material, so they are no less specific to you - the sector simply is not what changes them.
Which of these does your organisation actually need?
The readiness assessment scores each person across five dimensions and maps the gaps onto this catalogue, by department and by role. Five minutes per person, and it answers the question with a measurement rather than a guess.