Beijing Intelligent Decision Medical Technology Co., Ltd.
Implementing the Clinical Decision Support System (CDSS) in primary care enhances diagnostic accuracy and reduces misdiagnoses, significantly improving the management of common diseases. A dedicated diabetes decision module has been seamlessly integrated into a city's community health system, empowering primary care doctors to manage diabetes more effectively. By integrating clinical guidelines with expert knowledge, CDSS delivers AI-powered, evidence-based recommendations for diabetes and chronic disease management. Since implementation, medication adherence rates have significantly increased, earning widespread recognition from primary care physicians.
As China faces a rapidly aging population, elderly healthcare management still lags behind global standards. In collaboration with top-tier hospitals, IDMED has developed an AI-powered elderly health assessment system. This system collects real-time health data via a digital platform and leverages big data analytics to provide actionable insights for doctors, improving elderly patient care. Adopted by leading tertiary hospitals, the system has significantly improved elderly patient management, offering innovative solutions to the challenges of China's aging population.
Big data is revolutionizing clinical research. IDMED collaborates with China's top cardiovascular and cerebrovascular hospitals, leveraging its advanced big data platform to analyze massive datasets. Using cutting-edge AI-driven models, the platform has accurately predicted disease risks, exceeding global benchmarks. It has also uncovered previously unknown disease factors, advancing early prevention strategies for cardiovascular and cerebrovascular diseases. Breakthrough findings powered by this technology have been published in leading international journals, strengthening China's position as a global leader in medical research.
China faces increasing pressure on medical insurance funds due to frequent occurrences of irrational drug use and insurance fraud. By integrating big data technology with medical insurance systems and supplementing it with clinical intelligent decision-making, these issues can be effectively mitigated. IDMED has collaborated with a major medical insurance institution in a southeastern coastal province, leveraging big data technology to detect inappropriate clinical drug use. This initiative has yielded significant results, providing clear guidance for standardized medication practices. Additionally, by analyzing patient medication adherence, the system offers valuable data support for early disease treatment and prevention. In the next phase, clinical decision rules will be incorporated into medical insurance payment audits, addressing long-standing issues of fraud and irrational medical practices that have challenged insurance institutions.