Segmenting populations, stratifying risk, targeting intervention
Population health management (PHM) is a discipline, not a slogan. Done well, it lets systems see their populations clearly, target intervention where it will do most good, and demonstrate that they have. We help clients build PHM capability that actually changes decisions.
What we do
- Population segmentation - building and interpreting segmentation models across whole populations, by need, risk, and service utilisation.
- Risk stratification - identifying the cohorts that will most benefit from targeted intervention, with defensible clinical and analytic rationale.
- Predictive analytics - where the data supports it, forward-looking modelling of demand, cost, and outcomes across cohorts.
- Population dashboards and boards packs - bringing PHM insight into the language non-executive directors and system leaders can actually act on.
- Analytic capability building - helping your own analytics teams do this work in-house, sustainably, after we have gone.
- PHM strategy - turning analytics into an operating discipline that reshapes how the system plans and commissions services.
How we work
We start with the decision, not the data. A segmentation exercise that does not change how anyone plans, commissions or delivers a service is not useful - however sophisticated the model. Every engagement begins with clarity on what decisions the analytics need to inform.
We are agnostic on tooling. We work in whichever data environment you use - HealtheIntent, Cerner, System C, PowerBI, SQL, R, Python - and we can help you evaluate a platform choice if you have not yet made one.
Where the work benefits from a specialist platform, we can deliver in partnership with our data-analytics collaborators; the accountable client relationship stays with Health Dynamics.
What you can expect from us
- A senior population health lead on every engagement, with real analytic and clinical grounding.
- Segmentation and risk models that the executive team can actually interrogate, not black boxes.
- A clear articulation of what the analytics say - and what they do not say - so decisions rest on evidence, not enthusiasm.
- A transferable capability. Where we build models, we hand them over. Where we develop dashboards, we leave named owners.
Typical engagements
- A six-week population segmentation and risk stratification exercise for an ICB.
- A twelve-week PHM strategy for a place-based partnership, including operating model and analytic capability build.
- A predictive demand and cost model for a mental health provider, set up to be re-run quarterly.
- A board-ready inequality dashboard for an integrated care system.
Got a population health question that needs an answer?
We are happy to spend an hour helping you frame the question - even if no engagement follows.