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Corporate News | Futong Dongfang Has Been Selected For the "Digital Health Technology Epidemic Prevention and Control Application Case Collection" By CAICT

Recently, Futong Dongfang's Intelligent Triage 2020 Standard Edition AI has been selected as an artificial intelligence application case by the China Academy of Information and Communications Technology for its "Digital Health Technology Epidemic Prevention and Control Application Case Collection (Third Edition)". This product aids hospitals in screening and triaging patients, contributing to the societal health and the development of the medical industry with its technological strength.

 

In response to the significant role of digital health technology in epidemic prevention and control, and to provide reference cases for medical institutions and individuals in need, demonstrating the role of digital health technology in this area, the CAICT's Medical Health Big Data and Internet Research Center initiated the collection of application cases and joined the invisible battle against the "epidemic."

 

Since the outbreak of the COVID-19 pandemic, Futong Dongfang has actively responded to the national call, targeting the needs for routine management of epidemics such as self-assessment by patients outside the hospital, hospital triage diversion, and data collection and sharing during the pandemic. The company has comprehensively upgraded product functions to empower large-scale population screening and triage diversion work, making a positive contribution to winning the battle against the epidemic.

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Futong Dongfang's Intelligent Triage 2020 Standard Edition AI Assists Hospitals in Screening and Triage Diversion of Patients

Based on the traditional medical supply and demand dilemma and the practical experience in serving medical institutions for IT operations and maintenance construction, Futong Dongfang gradually expanded its application capabilities in the field of medical health with AI technologies such as ML and neural networks in 2017. It launched an intelligent triage product that provides full-process services for patients before, during, and after outpatient visits, as well as a single-disease risk prediction model, and a one-stop medical research solution for collecting and managing hospital data, continuously improving and enriching its own functions in practical cooperation with major tertiary hospitals.

 

Futong Dongfang's Intelligent Triage Product is an AI engine that helps medical institutions apply precise intelligent triage services to the patient care process, thereby improving medical service efficiency and patient experience. It possesses independent intellectual property rights and advanced patent technology for medical text semantic understanding and annotation. The product provides an integrated smart outpatient solution, aiming to facilitate patients' pre-consultation, during-consultation, and post-consultation care and improve the experience of medical treatment, helping hospitals build a smart service system. As the COVID-19 epidemic prevention and control enters a critical period, Futong Dongfang has launched a standard edition application in real-time and is providing products and technical services for free to medical institutions during the pandemic. This initiative aims to help various medical institutions quickly enhance pre-hospital services and prevention and control capabilities, thereby reducing the workload of medical staff and lowering the risk of cross-infection.

 

ž   Mobile terminals provide intelligent consultations, simulating the doctor-patient dialogue process to guide patients in describing their symptoms, achieving a preliminary diagnosis of diseases, and pushing relevant disease knowledge and precautions; intelligent triage, simulating the triage desk process through human-machine dialogue, provides medical suggestions based on patient symptoms, medical history, and preliminary diagnoses; expert recommendations, by constructing a profile of expert capabilities, intelligently match patient disease information with expert profiles, recommending appropriate medical resources.

ž   Service-side open medical knowledge graph definition and management capabilities, defining medical business models—acquiring medical knowledge through reliable sources, integrating and storing knowledge, mining and analyzing the interrelationships between pieces of knowledge, and presenting them using visualization techniques; applying knowledge in specific scenarios—based on the actual application needs of hospital users and the characteristics of the patient population, quickly implementing and continuously iterating optimizations through configuration management, providing more efficient and accurate medical services.

 

Futong Dongfang is committed to enhancing the quality and management level of medical services and innovating hospital service models through artificial intelligence technology; at the same time, it improves the hospital user information and admission population data collection system, and standardizes the data sharing, analysis, and reporting processes for epidemiological investigation information, which plays an important role in promoting the construction of medical informatization.