There’s no doubt about it – the digital revolution has begun. If that statement surprises you, you are not alone. Although it is occurring at an increasingly rapid pace, there are still many people and areas that the revolution has not reached, especially in the healthcare section.. Here is a major reasons why -technology.
Health data is broken down into centralized organizational silos. This sounds great in theory but the problem lies in the exchange of individual health records. Most of the time spent on individual records is the actual process of trading them between silos. In order for the exchange of health data to become useful it must:
- be normalized into a more uniform method
- be collecting from every source possible
- breaking down the obtained data with distinctive patient/provider identifiers
How is this connected to Artificial Intelligence?
If the three points mentioned above were to be successfully actualized, this means the data would be aggregated and doing such would eliminate much of the time wasted when exchanging data. Aggregated data would eradicate the need for data translation and data bridges; instead it would connect everyone to a central standard programming. It would also be used as the foundation for Artificial Intelligence (AI).
A new breed of apps can be developed to assist useful recommendations provided by AI. Such aps will be simple to understand, use, and will be connected to the aggregated data powered by the AI analytics engines.
So, yes, the revolution has begun, but when will it pick up the pace?