🏥Data sharing in Healthcare
Data sharing is at the very crux of healthcare. In fact, this sector has been receiving so much focus, and often any digital infrastructure-level interventions are synonymous with data sharing. There can be multiple approaches to data sharing:
The ability to generate verifiable credentials for key certificates and claims in a digital society and share asynchronously with any requestor, such as proof of education of a doctor, proof of business registration of a hospital, proof of work experience of a physiotherapist, proof of vaccination, and lab reports.
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, such as a health diagnosis or real-time health monitoring data from devices.
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, such as 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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