Philips Medical launches eight new products at 2017CMEF

On May 15th, Philips' “Disease-Centered” overall solution was exhibited at the Spring 2017 International Medical Exhibition and released eight new products.

Starting from the actual needs of the grading diagnosis and treatment strategy, Philips has focused on the four key health areas of cardiovascular, oncology, respiration, and eugenics and maternal and child care, and has effectively landed on specific diseases such as liver cancer and stroke, combined with primary hospitals, private hospitals and public hospitals. The development direction of the top three hospitals in the medical reform, Philips fully demonstrated the overall solution of the “health care” process, expressing Philips' determination to actively transform to meet the changing needs of customers as the market changes.

China's medical reform is constantly deepening. Graded diagnosis and treatment, building a medical association and encouraging social capital to run a doctor will be the key to improving the medical treatment pattern. “As the functional divisions of different levels of medical institutions become more and more clear in the medical system, Philips will further accelerate the market's responsiveness and meet the needs of the market and customers with personalized and customized solutions. This will also become our current stage. Development strategy." Mr. Wang Wei, President of Philips Greater China Medical Technology Group, said.

With the two-way referral, remote diagnosis, consultation, training and service planning under the national grading system, the cloud-based Philips grading diagnosis and treatment solution also made its debut at this exhibition. Philips has a medical solution that covers the entire health care process at the heart of imaging diagnostics. It uses artificial intelligence to standardize, structure, and classify the data adopted by these medical solutions to make these medical big data better. It serves the clinician to meet the basic requirements of resource sharing and information communication for graded diagnosis and treatment.

As we all know, the key to grading medical treatment is whether the primary medical institutions can smoothly take over the patients who are separated from large hospitals from all aspects of hardware, software and services, and improve the accuracy of medical treatment in daily medical services such as regular physical examination and preventive screening. . Philips' new 16-layer Access CT is an innovative product for this market demand. CT (computed tomography) is an irreplaceable medical imaging equipment for early screening and accurate diagnosis of diseases. It has important functional significance for "early detection, early screening and early healing" of diseases. As a 16-slice CT product, Access CT uses Philips iDose4's fourth-generation iterative technology to significantly reduce radiation dose while ensuring accurate imaging, providing a highly functional precision diagnosis and treatment solution for underlying medical institutions at an affordable cost. .

“In short, we are leveraging technology-innovated hardware devices, combined with software platforms, big data and artificial intelligence to create an overall disease solution that takes into account differences in standardization and hospital positioning. We believe this strategy is currently underway in China. The medical reform is highly consistent,” said Chen Shengyu, general manager of the Greater China Integrated Solutions Center at Philips.

A few days ago, the “stroke center” solution created by Philips and Shanghai Changhai Hospital was the embodiment of this strategy. As a first step in the collaboration, Philips and Changhai Hospital jointly developed the acute stroke DTN (Admission to Thrombolytic) time analysis system and the acute stroke specialist database through joint innovation. The database defines nearly a thousand data fields based on the requirements of the Brain Defense Committee and the Provincial Health and Family Planning Commission's stroke data, covering all aspects of information from pre-hospital to discharge. The establishment of this system and database can standardize the reported data and make the data more effective.

“Building a disease-centric database of specialized diseases through artificial intelligence technology, obtaining 'clear and accurate' 'quality data', and looking for associations and models in these big data, through the integration and analysis of structured data, help Doctors have a more comprehensive understanding of patients, so they can better screen patients early, achieve accurate diagnosis and personalized treatment, and track which treatments are effective, and ultimately help people to maintain a healthy life, avoid chronic diseases, or help them adopt A better way to manage your physical condition," added Chen Shengyu.

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