Health economics
Health technology assessment bodies ask two questions of any new treatment or service: does it work better than the alternative, and is it worth what it costs? We build the evidence for both, and we rebuild existing models to check that their numbers hold.
Questions this answers
- What is the cost per quality-adjusted life year compared with current practice?
- What would adoption cost a payer over five years?
- Does an existing model reproduce its published results when it is rebuilt independently?
- Which uncertainties matter most to the decision?
Methods
Markov and discrete-event models, partitioned survival analysis, budget impact analysis, probabilistic sensitivity analysis, and independent model rebuilds that compare every output with the original.
Other services
Did your AI spending pay off?
An independent measure of what your AI tools changed in output, cost and quality, against what would have happened without them.
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Find out whether a programme changed outcomes, for whom, and by how much.
Pay-gap and pay-equity analysis
A defensible pay-gap analysis for reporting rules, and a clear view of which gaps are explained and which are not.