Three ways to bring clarity to complex health information.
Every engagement starts with the same question: what problem are you trying to solve? From there, the work connects strategy, information architecture, governance and technology decisions to the outcome you need to deliver. Work is delivered directly through Erintide Consulting, in partnership with Voronoi, or via Ernst & Young (EY).
Digital health strategy
Digital health succeeds when technology serves a clear purpose. The work starts with the problem, then tests how information, systems, standards, governance and operating models need to align, producing clear strategy your teams can use.
Learn more →- Digital health blueprints and roadmaps
- Standards adoption strategy
- Operating model design
Data and information management
Information has value when it supports better decisions. Good data work needs clear information architecture, lifecycle thinking, stewardship, classification, quality controls and a practical view of how information will be shared and used.
Learn more →- Data landscapes and information architecture
- Genomic information management
- Research data and digital health standards
Building sound architectural foundations for health
Architecture is useful when it helps people make decisions. It should clarify current constraints, expose dependencies, identify options and show what needs to change across services, systems, data and governance.
Learn more →- National digital health infrastructure and standards
- Clinical terminology and electronic prescribing
- Genomics, aged care and large system replacement
Not sure which service fits? Start with the problem you need to solve.
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