Promoting data sharing and interoperability
To overcome these challenges, robust and interconnected platform infrastructures are needed for collecting, combining and analyzing data at scale. As healthcare becomes increasingly distributed, extending from the hospital to the home, such infrastructures need to cover the entire continuum of care to connect patient data across settings. Through our cloud-based Philips HealthSuite platform, we are helping healthcare providers collect, compile, and analyze data from multiple sources, including medical records, imaging and monitoring data, as well as personal health devices.
Second, interoperability and standardized data sharing between different hospitals and health systems is key to exploit the full potential of data and AI in healthcare. Data should be available in formats that can be shared effortlessly, transparently, and securely, in a way that is compliant with relevant privacy regulations. At Philips, we are promoting the use of open data standards and semantic interoperability, through methods such a unified Information Language System, to allow healthcare providers to connect and integrate data in a meaningful way.
Third, regional legislation and collaboration should enable the secure exchange and access to properly annotated data for AI research and clinical practice, while safeguarding patient privacy. We therefore support initiatives such as the creation of a common European Health Data Space, which is set to promote better exchange and access to different types of health data ranging from Electronic Health Records to genomics data, across EU member states.