πŸ₯Data sharing in Healthcare

Data sharing is at the very crux of healthcare. In fact, this sector has been getting so much focus often any digital infrastructure-level interventions are synonymous with data sharing. There can be multiple approaches to data sharing -

  1. The ability to generate verifiable credentials for key certificates/claims in a digital society and share asynchronously with any requestor (eg. proof of education of a doctor; proof of business registration of a hospital; proof of work experience of a physiotherapist, proof of vaccination, lab reports etc.)

  2. The ability to share personal data in real-time in a secure, consented manner with a third party (who is often a part of a network) to avail a service based on the shared data (eg a health diagnosis, real-time health monitoring data from devices etc.)

  3. The ability for a society to generate open anonymised datasets to enable research or trends assessments across various sectors

Additionally, the open anonymised datasets can be used to train and publish open AI/ML models that can be used to better enable access to services based on data, e.g. real-time language translation models; clinical decision support models etc.

The contextualisation of these building blocks to healthcare can be done by defining data standards and data schema at a country level. However, there can never be one schema. The solutions must account for this reality and be compatible with multiple schemas. The data itself can be self-identifying.

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