Safe, practical AI training for healthcare in Kenya for hospitals and clinics.
Every exercise uses made-up patients or fully masked records.
Some of the organisations we've trained and worked with
Can hospitals in Kenya use AI with patient information?
AI training for healthcare in Kenya should begin with one rule: real patient information does not go into public AI tools. FuKazee's sessions for hospital, clinic and health NGO staff cover AI on the paperwork around care, with made-up or fully masked data, and leave every clinical decision with a qualified person.
Health data is classed as sensitive personal data under Kenya's Data Protection Act, 2019. The Digital Health Act, 2023 adds duties of its own, and the data commissioner's office has issued a guidance note on health data. In December 2024 the Kenya Medical Practitioners and Dentists Council told health institutions to get certified as data handlers.
Any tool that touches identifiable records is a decision for your data protection officer, your management and your lawyers. This page is general information from a training company. It is neither medical nor legal advice.
Choose your starting point.
I Want to Train My Team
Practical AI training for teams in Kenya, built on the work they already do.
Plan your team's training
I'm a Postgraduate Student
Use AI for research, writing and review. Live online, so you can join from Kenya.
ScholarShift Accelerator
I Want to Learn for My Job
One-to-one AI training, shaped around your role and your working day.
Ask on WhatsAppWhere AI helps around care, away from the bedside.
Policies and SOPs
First drafts and plain-language versions of approved procedures, for a named clinician or manager to review and sign off.
SHA claims queries
Group rejection reasons and build checklists for billing clerks. The Senate was told Sh16 billion in claims had been rejected by April 2026.
Patient leaflets
Clinician-approved content rewritten in simple English and Kiswahili. The clinician reads the final version, because a small wording change can alter the meaning.
Committees and HR
Quality committee minutes, job adverts, induction packs and rosters drafted quickly by the people who already own them.
Reports from grouped numbers
Monthly and board reports built from totals that cannot point to any single patient, including charts in Excel.
Teaching and CME preparation
Session outlines, quiz questions and slides for ward teaching, with the facilitator checking every source against the original guideline.
Try it: find the pattern in rejected claims
Your billing office has a list of last month's rejected SHA claims. You have removed names, member numbers and diagnoses. Only the stated reason, the department and an amount band remain.
You are helping the billing office of a private hospital in Kenya. Below is a list of rejected claims. Each line has only the reason given, the department and an amount band. There is no patient information. 1. Group the reasons into no more than six themes. 2. Count the lines in each theme. 3. For the top three themes, suggest what a billing clerk could check before submitting. 4. Mark anything you are unsure about as 'ask the claims lead'. Do not suggest changing any clinical detail. List: [paste masked list]
Before you use the answer: Recount the themes yourself in Excel. Your claims lead tests each suggestion against current SHA rules. Records must always show what really happened, and no clinical entry changes because a tool suggested it.
How we run sessions for health teams.
Wards cannot empty for a day, so the plan is built around duty rosters and who can safely step away.
- 01
Who attends
Administrators, records and billing staff, department heads, doctors, nurses and quality officers. Mixed groups work well for policy, and separate groups for claims.
- 02
On duty
Short repeated sessions let one group cover while another trains. Night staff can join live online.
- 03
Patient data
Names, ID and SHA numbers, phone numbers and dates of birth stay out. A rare condition in a small town can also identify someone, so masking is taught with care.
- 04
Digital Health Act
In 2024 the High Court found the Act unconstitutional. Reports in June 2026 said the Court of Appeal had suspended that ruling while the appeal runs. Ask your lawyer how it currently applies to your facility.
- 05
Where
At your facility by arrangement anywhere in Kenya, or live online. FuKazee has one base, in Westlands, Nairobi.
The seven modules your team can draw from.
Understanding AI
The groundwork for adopting AI responsibly across your organisation.
Prompt Engineering
Role prompts, few-shot examples and clearer instructions for better output.
Best Practices and Verification
Token awareness, output checks and prompt libraries that keep quality high.
Navigating the AI Landscape
Hands-on with ChatGPT, Gemini, Claude, Perplexity, Copilot and others.
Tool Comparison and Evaluation
A way to choose tools without falling for vendor hype or lock-in.
AI Agents and Workflow Optimisation
AI for reports, communication, research, document analysis and workflow redesign.
AI Ethics, Risk, and Responsible Use
Data leakage, hallucinations, bias, prompt injection and policy design for real organisations.
Get a recommended training plan for hospitals, clinics and health teams.
Six quick questions about your sector, team and goals. You'll see a recommended programme straight away, and the people who run the sessions follow up with you personally.
- A programme matched to your sector and team size
- An AI usage policy included if you need one
- Takes about a minute. No obligation.
Read more on this.
Questions about aI training for healthcare in Kenya.
Short answers. Anything else, ask us on WhatsApp and a person replies.
Can doctors and nurses use AI for diagnosis or treatment decisions?
We do not teach that. Diagnosis, prescribing and triage belong to licensed clinicians working within the rules of their professional councils. Our sessions cover writing, summarising public guidance and admin, with a clinician responsible for anything clinical.
What health information can go into ChatGPT or Copilot?
Nothing that can identify a patient should go into a public tool. A paid tool under a business contract is a separate decision, and your data protection officer should make it after reading the terms.
Can AI read a patient's file and summarise it?
Some hospital systems offer this inside controlled software. That needs approval, a contract and a clinician who reads the result. In our sessions, staff practise summarising on invented files only.
Does AI make mistakes on medical content?
Yes, and it can sound confident while doing so. It may invent a dose or a reference. Anyone using it for health content must check the original guideline, and staff practise spotting these errors.
What does FuKazee know about health work?
We are AI trainers, and we are not clinicians. Your clinical lead and data protection officer set the limits for the session, and we build exercises inside those limits using your kinds of documents.
Do staff receive a certificate?
When a programme includes one, FuKazee gives its own certificate of completion at 75% attendance. It is not a government or NITA qualification, and we do not claim CPD points for it.
How is the price worked out for a hospital?
Staff numbers, the number of sites, how many repeat sessions the roster needs and any travel all affect it. We send a quote after talking through your rosters. Our guide to what corporate AI training costs in Kenya explains the usual factors.
Keep exploring.
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Ready to start with hospitals, clinics and health teams?
Tell us who needs training and what you want them to be able to do. The people who run the sessions reply to you themselves.