Wistron Medical Technology Co., Ltd., a subsidiary of Wistron Group (hereinafter referred to as WMT), has joined hands with Kaohsiung Xiaogang Hospital to build a smart hemodialysis ward, implement digitization of medical information, and realize the ideal cooperation between technology and the medical industry. The Wistron medical team is good at statistics and data analysis. It uses medical big data to build an intelligent model system. When the system grasps the data of potential risks that patients may have during dialysis, it is like the other pairs of eyes of the medical staff, providing medical staff to foresee risk to make the right decisions early.

The number of hemodialysis patients in Taiwan is increasing year by year. Hypotension is the most common complication caused by hemodialysis. Due to the discomfort of the patient, reducing the dialysis urinary toxin clearance rate, the long-term effect is more likely to increase the risk of cardiovascular disease, leading to an increase in mortality. This time, by creating a smart hemodialysis ward and introducing a smart hemodialysis management information system, the system's data alerts will reduce blood pressure and its symptoms, reduce ineffective dialysis, thereby improving dialysis efficiency, improving the quality of care, and reducing the burden on nursing staff. In addition, through continuous system records, these accumulated dialysis medical data will be cooperated with experts in various fields to develop effective value-added applications and improve the quality of medical care for dialysis patients in the future.

At the same time, WMT is actively investing in planning a series of blueprints for Xiaogang Hospital, and will cooperate to build a comprehensive smart hospital. Based on existing big data analysis, image recognition, data integration, and other capabilities, combined with medical Internet of Things technology and in-hospital clinical experience, the patient is the center, and various technologies are used to improve the application of disease prevention and diagnosis to achieve early detection and early treatment of precision medicine.

Donald Hwang, Chief Technology Officer of Wistron Capital and General Manager of WMT, said: "Wistron has invested in the field of medical care, using key technologies and R&D capabilities, combining the rich clinical resources and medical service experience of Xiaogang Hospital with medical big data and artificial intelligence. The application of this technology will enable patients to obtain effective preventive care and health management, to improve the quality of Taiwan's hemodialysis medical care, the optimization of medical technology and the overall medical environment, and to provide better development. For the future and smart medical services planned by Xiaogang Hospital, We believe that this vision of results will truly benefit patients and become the most advanced and high-quality hospital for all-round health care. "

Hou Mingfeng, Dean of Xiaogang Hospital, said: "In the past, patients had to measure their own weight, and medical staff had to measure blood pressure at a fixed time to observe the patient's symptoms. However, after the introduction of a smart medical information system, the blood pressure can be uploaded in real-time during dialysis to predict the drop in blood pressure. Low blood pressure warning, automatic measurement of body weight and upload of dialysis records can improve patient misreported weight. This cooperation with Wistron Group is expected to provide intelligent medical processes and services centered on patients and medical staff, combining technology and information technology with medical applications To create a win-win situation between doctors and patients. "

In recent days, there have been several incidents of kidney dialysis in hospitals. In response to measures, in addition to improving hardware equipment to prevent human errors, plus a software decision support system to help medical staff grasp potential risks in advance, respond to them and make proper decisions when the potential risks in the future are predictable and graspable. It can assist medical staff to respond early and make the right decisions to achieve precision medicine to improve overall medical safety and quality of care. Combining technology and healthcare is to make human life better!