Patient Demographic Analysis
Understanding who the patients are, segment by segment.
Patient demographic analysis profiles the patients a hospital serves or could serve: their payer mix, age, condition profile, geography and behaviours - and the differences between those segments. The result is a patient mix picture that shapes service mix, pricing, outreach and capacity decisions far better than a single average patient.
What this service covers
- Patient segmentation by payer type
- Age, gender and condition profile
- Geographic mix and distance distribution
- Behaviour: utilisation, loyalty and sources
- Segment volumes and revenue contribution
- Segment growth and shift signals
- Implications for services and tariffs
- Implications for outreach and access
- Segment-level capacity guidance
- Documented patient mix picture
Our process
- Define the segmentation variables
- Analyse patient mix from available data
- Profile each segment
- Test implications for services and pricing
- Sensitise against segment shifts
- Document the patient demographic model
Frequently asked questions
How is patient demographic analysis different from population analysis?
Population analysis profiles the resident population of an area. Patient demographic analysis focuses on the patients - actual and potential - usually a subset with its own payer, condition and behaviour patterns.
How is it different from catchment analysis?
Catchment analysis is about where patients come from geographically. Patient demographic analysis is about who the patients are in those zones.
What data does it use?
Patient records and operational data, population statistics and market research - combined into segments.
What decisions does it support?
Service mix, tariff and payor strategy, outreach, access design and capacity sizing by segment.
What does the customer receive?
A patient demographic analysis with segments, contributions and the decision implications of each.