Leveraging state-of-the-art smart technology, ESWIN Computing’s smart healthcare solutions aim to develop efficient, precise, and sustainable healthcare service models, thereby injecting strong impetus into the digital transformation of the healthcare industry. They help healthcare institutions enhance their service quality and operational efficiency, bringing the healthcare industry into a new era of intelligence.
ESWIN Computing offers high-performance medical monitors which support up to eight million pixels of high-resolution multimodal medical imaging, suitable for a wide range of diagnostic modalities including X-rays, CT scans, MRIs, and ultrasounds. Armed with advanced backlight local dimming technology, these monitors present highlights and shadow details vividly and deliver premium image quality, facilitating fast and efficient medical diagnosis.
ESWIN Computing’s digital health assistant based on a RISC-V hybrid architecture is connected to medical LLMs. It has an extensive medical and health knowledge base composed of over 2 billion pieces of medical text data, supports multimodal input and output, and enables quick analysis of medical reports. It provides convenient, professional, and comprehensive information services to meet users’ diverse needs across 12 health scenarios like chronic disease assessment and assisted diagnosis.
ESWIN Computing’s personal health management platform based on a RISC-V hybrid architecture comes with six built-in knowledge repositories such as those for food, diseases, and sports, and is equipped with nine specialized models for health evaluation, indicator analysis, nutrition intervention, and more. The platform provides comprehensive health management across five categories, such as health monitoring, health assessment, and healthcare consulting, for various groups including healthy individuals, sub-healthy individuals, those with chronic diseases, and at-risk populations.
Healthcare Consulting Patients can consult the digital assistant at any time to get professional health advice. The digital assistant can swiftly respond to common health problems, and in case of complicated conditions, get experts involved through the dashboard to give professional answers.
Smart Triage Leveraging advanced natural language interaction technology, the smart triage system can quickly and accurately understand patient needs and recommend the corresponding departments and doctors. Patients simply need to converse with a digital assistant, input their symptoms or diseases, and view real-time information about the department location, doctor schedule, and map on the dashboard. This optimizes the triage process, reduces waiting times, and enhances the patient experience.
Smart Image Analysis ESWIN Computing’s medical monitors feature a high resolution, high contrast, and great color fidelity, vividly presenting the details of medical images such as CT, MRI, and X-ray. The monitors support multimodal image display and leverage AI technology for in-depth analysis to quickly identify lesions and other abnormalities and help doctors improve the diagnosis efficiency and accuracy, especially in the early screening of complicated conditions such as tumors and cardiovascular diseases.
Assisted Diagnosis and Decision-Making Cutting-edge NLP technology is used to engage with patients to get key information on symptoms and medical history, and then, based on its extensive medical knowledge base, generate preliminary diagnosis suggestions. Patients can interact with the digital assistant on the dashboard to get advice on medical diagnosis and suggestions. This helps doctors quickly identify the problems, improving the consulting efficiency.
Personal Health Management Through wearables and mobile applications, users can upload health data such as heart rate, blood pressure, and sleep quality in real time. The platform uses AI algorithms to analyze data, generate personalized health reports and recommendations, and remind users to make lifestyle changes or get medical help.
Medical Device Management Hospitals’ medical devices are connected through IoT technology to monitor the operating state, frequency of use, and maintenance requirements in real-time. The platform conducts data analysis to optimize device scheduling, reduce idle and queuing times, and improve the device utilization.
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