With better and more computer and hardware technology so easily accessible, there is a huge influx of analytical data available from different healthcare stakeholders, from clinical institutions to insurance companies and from patients to pharmaceutical industries. This huge amount of data is a gold mine for uncovering insights that can help design an AI-integrated healthcare system aimed at providing better outcomes and quality at a reasonable cost.
Healthcare data, however generated in volumes, is still fragmented, with legal, ethical, and privacy concerns inhibiting large ...