Royal Philips has partnered with Cloud-based healthcare services provider Digital China Health to launch a teleradiology services platform, SHINEFLY, to cater to the growing healthcare system in the country.
Co-developed by the companies, the digital application is a Cloud-based image management solution designed to allow remote storage, retrieval, viewing and analysis of medical images.
The scalable platform is set to feature advanced clinical applications specific for cardiology, neurology and oncology. It will be available on a pay-per-use basis in order to minimise costs.
Philips Greater China CEO Andy Ho said: “Philips is committed to integrating and co-creating solutions that reflect local health market needs to deliver better healthcare experiences for doctors and patients at lower cost.
“This highly innovative Cloud-based solution will support clinicians with definitive diagnoses and facilitates the delivery of consistently high quality of care.”
The analysis results from radiological images and patient information on SHINEFLY can also be reported remotely, which is expected to enable optimum treatment of patients at their hospitals.
Furthermore, SHINEFLY has been designed to allow customisation to various radiological service models, including tiered hospital alliances and for disease-specific radiology at national medical centres.
Digital China Health CEO Shi Wenzhao said: “The partnership between Digital China Health and Philips is intended to connect foreign and domestic professional health technology organisations and leading companies, with the aim of identifying a healthcare delivery model that suits China and drives the development of artificial intelligence (AI)-driven precision medicine in the country.”
According to Philips, the imaging procedure volume in China is rising quicker than the number of radiologists, and most of the country’s primary and secondary hospitals lack the required finance or access to qualified staff for adequate radiology services.
The company’s Chinese subsidiary has opened an AI lab in Shanghai aimed at enhancing deep integration of these technologies across various healthcare segments such as medical imaging, patient monitoring, health informatics, home care and personal health.