SHENZHEN, Oct. 16, 2017 /PRNewswire/ -- Huawei and Philips have successfully developed an advanced cloud healthcare solution in China. By using cloud and machine-learning technologies, this solution is expected to sweep across the healthcare industry at an unprecedented pace and scope, creating a new digital healthcare future.
"We worked with Huawei to establish a cloud platform, enable IoT access, and develop solutions. We have already tested some solutions on the cloud platform provided by Huawei and obtained very satisfying results. In the future, Philips and Huawei will work together to push healthcare solutions into the market." --- Ludwig Liang, Population Health Management Director, Philips Greater China Region.
Background and Challenge
Due to a sustained increase in life expectancy and an increasing prevalence of diseases, there is soaring demand for healthcare providers to deliver high-quality medical care. China's remote areas is in need of improved ways to tackle the growing healthcare demands and deliver convenient and safe patient care options.
Ludwig Liang points out that cloud AI technologies are especially important for China's second-tier cities because many physicians "don't necessarily have skills to read image diagnostics like MRI and CT scans. If a doctor processes thousands of images a day, he may miss something."
Solution
In 2016, Huawei and Philips signed a MoU to develop a cloud healthcare solution primarily for second-tier cities in China, which would provide high-quality cloud healthcare services to communities that lacked advanced healthcare systems. The solution has completed testing and is set to create a new digital healthcare future, which will help transform healthcare systems in China by helping doctors make accurate decisions from insights gleaned from vast amounts of information.
The Huawei-Philips Cloud Healthcare solution integrates Philips' personal health care, disease diagnosis and treatment, management expertise and system platform with Huawei's complete IT infrastructure, IoT connectivity and cloud AI capabilities to increase efficiency and accuracy of diagnostics and treatments.
AI can ease doctors' burden by easily identifying patterns from large volumes of data. The cloud and machine-learning solution can precisely determine how much a patient's disease such as cancer has advanced, which can help doctors decide on appropriate treatment. Applying cloud AI technology will have a profound effect in underserved communities by automating visual diagnoses, reducing errors and lowering costs.
