Health Data Platform
The Health Data Platform (HDP) supports research and analysis both within the health sector and in academia, by allowing access to health data from multiple sources to be brought together as required (on-demand) on a single secure platform.
Instructions and form for submitting your request
List of data available in the HDP
Access training on how to use the HDP
Introduction to the Health Data Platform
The Health Data Platform (HDP) supports research and analysis both within the health sector and in academia, by allowing access to health data from multiple sources to be brought together as required (on-demand), linked, de-identified and analyzed on a single secure platform.
The goal of the HDP is three-fold:
- Provide more timely, secure and consistent access to integrated “big” health data
- Establish a standard and enhanced privacy and security landscape
- Increase process transparency and efficiency for data providers and data consumers
This work is being developed and led by the Ministry of Health with matched funding from:
- The Canadian Institutes of Health Research (CIHR) strategy for Patient Oriented Research (SPOR)
- The BC SUPPORT Unit (an operating unit of BC AHSN that implements SPOR in BC) and
- The Province of BC
Maturing the Data Environment
There are currently challenges in achieving dependable timely access to cross-organizational data, which negatively impacts our ability to maximize the value of our growing health data resources.
The HDP will achieve the following benefits:
- Timelier access
Timelier access to cross-organizational health sector data, with increased process transparency, will be supported by common sector data policies.
- Informed decision making
Enhanced access to cross-organizational data, including data derivatives, enhanced analytics and data products, will better inform decision making across the health sector.
- Consistent and enhanced privacy and security standards
HDP will establish common policies for security, privacy and data management to enable consistent practices and data integration.