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If health data is the next frontier in personalized medicine, the learning health system could be the vehicle to transport us there. That’s the vision of recent collaborations across Canada bringing together academics, clinicians, businesses and funding partners to unlock critical health data found in physician notes, imaging databases, electronic medical records and other digital health systems. Not only are the groups enabling researchers and clinicians to access high-quality pools of patient information that have historically been difficult to apply to decision making, they’re also working to build a healthcare system that continuously learns about the population it serves. Read More

GE Healthcare has developed a next- generation, cloud-based Picture Archiving and Communication System (PACS) that aims to help healthcare organizations keep current with rapidly evolving technology, relieve the pressure on capital budgets and free up IT resources. The subscription-based diagnostic imaging solution called Edison True PACS¹ encompasses diagnostic reading, exam workflow, AI Applications, 3D post processing, enterprise visualization and archiving in a single platform. Read More

The promise of artificial intelligence (AI) in healthcare – ranging from operational efficiencies to patient outcomes – is vast. Still, many organizations struggle to turn that potential into actual value to make it more efficient and collaborative, and most importantly, to improve care. One of the most significant obstacles to unlocking AI’s potential is the quality of the data itself. Read More