Intelligent medical and health services

　　Beijing Tianxing Medical Co., Ltd. (referred to as "Tianxing Medical"), as a leader in domestic sports medicine, is committed to providing comprehensive clinical solutions for sports medicine. The company is located in the Beijing Economic and Technological Development Zone. More than 300 quality standards for sports medical equipment, implants, and surgical instruments applied to shoulder joints, knee joints, foot/ankle joints, hip joints, elbow joints, and hand/wrist joints have been approved by NMPA and clinically applied to thousands of hospitals in 31 provinces, cities, and autonomous regions in China. The company has broken through multiple major key technologies such as injection molding, weaving, absorbable material preparation and processing, and active equipment development for sports medicine products. It has established a comprehensive quality management system, and 13 product specifications have passed EU CE, ISO9001, ISO13485, and national GMP certification. It has become a domestic enterprise capable of providing overall clinical solutions for sports medicine. The company has formed an interdisciplinary and composite team with design, research and development, production, medicine, clinical, and marketing as its core. It has formed project cooperation with multiple doctors and experts at home and abroad, and has over 100 core invention patents. It has undertaken multiple research and development plans such as national major projects and the Beijing Municipal Science and Technology Commission, and more than ten products have obtained new technology and product certification from the Beijing Municipal Science and Technology Commission.

Modern health systems, hospitals, and service providers are deploying new tools and building exciting new nursing models to better serve patients. These strategies focus on Clinical Decision Support (CDS), helping to provide timely, screened, and patient specific information for clinicians to enhance care. In the past few years, this pursuit has witnessed an increasing number of medical devices being introduced into the medical environment. These devices include tablets, wearable devices, health monitors, and artificial intelligence (AI) imaging systems. Wearable devices can enable clinical doctors to promptly understand important patient vital signs, such as heart rate and blood pressure, and remind healthcare professionals before problems arise. Health monitors can collect patient data and trigger corresponding actions based on the results, thereby assisting remote care - for example, monitoring blood sugar levels and sending information to supporting devices such as insulin pumps for insulin administration.

Artificial intelligence imaging models can detect potential problems in X-rays and prioritize allowing radiologists or physicians to view these images. Therefore, healthcare systems and health service providers must decide how to manage and fully utilize these unprecedented amounts of data. Considering bandwidth overhead, access permissions, and privacy, which data should be sent to the cloud and which data should be managed locally. Edge computing makes data processing, analysis, and storage closer to the source of data generation - for example, a local server in a hospital or a mobile device in a patient's home. As a complement to cloud computing, edge computing allows IT decision makers to choose the appropriate computing location for the workload. This strategy can help optimize the collection, storage, and analysis of data in the health system - for general hospitals, the annual data volume has reached 50 PB.