Save Lives With Data

With all of the technological innovation and data availability in the world today, the possibilities are nearly endless with the value and insights it can create. With the growing capabilities of wearables, IoT, and Edge Computing, the possibilities are endless.
However, in the healthcare industry, records are kept as more traditional records in siloed databases (hospital records), manual files (GP records), government owned data (immunisation records), and varying data types (xrays, MRI's, CT scan's), creating technological, security and consent & governance challenges.
For the betterment of human health, the healthcare and medical research industries are looking for ways to connect all the disparate data sources together to provide a single over- arching view of all the data touchpoints, to establish patterns and identifiers to help detect and remedy causes and common factors of hereditary and chronic illnesses.

We are interested in the following:
1. Can you provide information on what could be learnt from connecting all the disparate and dissociated data sources with the use of technology? Things to think about:
A. What technology could be used to facilitate this type of innovation?
B. What datasets / governments / organizations / devices would be best utilized to gain full success in this initiative?
C. What could the economic impact be through implementation of this initiative? (human health, reduced medicare costs, etc.)
There are many challenges that are foreseen with this type of complex initiative, such as: consent, access of data, national governance, and data security and integrity.
2. Can you suggest / show how you would approach this initiative from a technological standpoint?
A. What technologies are available today to support this?
B. What upcoming / future technologies do you foresee playing a potential role (either positive or negative)?
3. Given the complexity and enormity of an initiative like this, not only from a data aspect, but from an economical and social aspect, can you provide any guidelines / best practices / requirements that would need to be put in place to make this a success?
Keep in mind potential challenges suggested below, but not limited to:
A. Data access
B. Economical impacts
C. Social and consent governance
D. Data security risks
E. Any other aspects, from now or potentially in the future, that haven't been considered