Bharat in BetaPopulation health and chronic-risk analytics
Source
- Endiya Partners, National Health Stack opportunities (opens in a new tab)Issues with digitizing healthcare dataPublished: 24 Jul 2019
The idea
Use better-organised health data to support continuity and population-level insight.
Why this is interesting
- The source links better-organised data to continuity of care and population-level insight, while noting that inaccurate or incomplete records limit what analysis can show. Analytics are only as useful as the records behind them and the organisation able to act on what they find.
- The source identifies an opportunity area rather than a validated customer problem. A useful first step is to choose one actor, workflow and measurable failure.
Possible starting points
Data quality before models
Help a hospital network or public programme measure and improve the completeness and consistency of its records before building risk models.
Analytics for an accountable care provider
Start with an organisation responsible for care in a defined population, such as a public programme or hospital network, that can act on findings within the purposes its patients consented to.
Questions to answer
- Which organisation both holds enough data and has a reason to act on population-level findings?
- What consent and purpose limits apply when records collected for care are reused for analysis?