DaX Population Health Analytics
DaX turns de-identified, aggregated screening results into clear views of chronic disease risk across your screened cohorts: risk stratification, comorbidity analysis, geographic mapping and program dashboards.
See where chronic disease risk sits across your screened population
DaX presents de-identified, aggregated screening data as program dashboards for health services, organisations and public health programs.
Six views show where risk sits, which conditions occur together and how cohorts change over time.
Risk stratification
Stratify screened populations by risk across the six core health systems: heart and cardiovascular, liver, kidney, metabolic and pancreatic, respiratory, and mental performance and psychosocial. Identify high-risk cohorts so follow-up can be prioritised.
Comorbidity analysis
See which conditions occur together across the six core health systems in screened cohorts. Cohort-level alerts highlight groups with multiple overlapping risk factors.
Geographic health mapping
Map aggregated screening results by region, site, department or community to see where chronic disease risk concentrates and plan programs accordingly.
Program dashboards
Cohort-level views of risk and follow-up for each chronic disease management program, in one place for program leads.
Demographic dashboards
Breakdowns by age, gender, occupation and location, with aggregated results ready for board reporting and program reviews.
Trend tracking
Track aggregated health metrics across screening rounds to see how cohorts change over time in chronic disease management programs.
De-identified by design
DaX works only on de-identified, aggregated data. Individual patient records are not accessible through the analytics platform, so organisations see population trends, not individual results.
Organisations get workforce and population insight without a view of any individual.
Data governance principles
- All analytics operate on de-identified data only
- Individual records inaccessible through DaX
- Aggregation thresholds are designed to reduce re-identification risk
- Role-based access controls and audit trails
- ISO 27001 certified security management
- Small-cohort suppression: groups too small to stay anonymous return “insufficient cohort”
- Corporate wellbeing: personal results follow the person and the organisation sees aggregate insight only
Where DaX sits in the EVEDA pipeline
Health checks are captured on HubX and identifiable clinical records live in the OpX clinical platform. Only de-identified, aggregated data crosses into DaX for analytics.
Individual records stay in OpX and are not part of what DaX receives.
Built for the teams that run screening programs
Employers
Aggregate wellbeing and risk trends across a workforce. Personal results stay with the person.
Employer solutionsGovernment and community programs
Population-level views of chronic disease risk for public health programs.
Government and communityPrimary care
Cohort views of risk and follow-up to support program review.
Primary careCommon questions about DaX
Can DaX identify an individual?
DaX works only on de-identified, aggregated data, and individual records are not accessible through the platform. Groups too small to stay anonymous are suppressed.
Where does the data live?
Identifiable clinical data stays in OpX, hosted in Australia. DaX receives de-identified aggregates only.
How is re-identification risk reduced?
Small cohorts are suppressed: if a group is too small to stay anonymous, DaX returns “insufficient cohort” rather than data.
Who can access it?
Access is role-based, with audit trails, under ISO 27001 security management.
Who owns the data in corporate wellbeing?
Personal results follow the person. The organisation sees aggregate program insight only, not an individual’s data.
How do we start?
Book a demo. We will show you DaX using sample de-identified data and talk through your screening program.