Health Analytics & Epidemiological Methods
Disease burden, surveillance analytics, and health information.
The executive challenge
The problem this program solves
Your teams adopt health analytics tools faster than the institution can govern them, and leadership cannot answer the board's simplest question: which decisions are now made by machines? The cost is not the spend; it is the two years of decisions made without evidence and the credibility spent on promises. You leave with the frameworks to commission work on health analytics, interrogate its outputs and govern it with the discipline applied to any other capital allocation.
Context
Why this matters now
Capability
What you will be able to do
- Price the build, buy and partner options for health analytics capability with real economics.
- Distinguish health analytics automation opportunities from decisions where human judgement remains strategically important.
- Commission health analytics work and interrogate its outputs with an operator’s confidence.
- Defend a health analytics investment case before a board that has been disappointed before.
The IPAT Course Standard
The five-day journey
Each day is a deliberate progression in managerial capability — from strategic context, to analytical frameworks, to applied practice, to executive judgement under pressure, to a capstone that produces something your organisation keeps.
IPAT Signature Case™
The Health Analytics Model Nobody Can Explain
A a regional telecommunications group deployed a health analytics model into daily operations. It performs — until a customer dispute, a journalist and the regulator arrive in the same week, and no one can reconstruct why the model decided what it decided.
Your decision: Pause the model pending an explainability rebuild, defend it as deployed, or restrict it to advisory use — each response signals something different to the regulator, the market and your own staff.
IPAT Data Lab™
A a multinational insurer suspects its health analytics spending is aimed at the wrong customers — and the intuition cannot yet be defended in the boardroom.
Dataset: Synthetic health analytics panel for a multinational insurer: the tables, formats and quality gaps your team would find on day one.
Your task: Structure the data, segment and score it, and translate the model into one operating decision about where the money should go.
A health analytics decision memo backed by an analysis you built and can defend.
Data → Analysis → Decision, not Data → Code → Certificate
Day 5 · The Capstone
What will you change when you return to work?
Build a twelve-month analytical and AI roadmap for your organisation: the value case, the data foundations, the governance, and the first 90 days.
Methodology
Frameworks you will master
- • IPAT Data-to-Decision Framework™
- • IPAT Executive Capability Model™
- • Value-versus-feasibility portfolio analysis
- • CRISP-DM analytical lifecycle
- • Model risk management principles (SR 11-7 adapted)
Cohorts
Upcoming cohorts
New dates are being scheduled
Register with your preferred start date and our admissions team will match you to the next available cohort — or contact us to arrange an in-house delivery for your organisation.
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