The Design And Development Of Diagnosis Support System For Community Health

In recent years, China has put great effort on the development of community health services, for it is an important way to solve the problem of expensive and inefficient health care.However, due to many factors, such as the slower economic development in community, lower health care quality, less policy support, overall level of community health services is very low. As current community health services can not meet the increasing needs of population, most residents go to center hospitals while the resources of community health service are wasted.Numerous studies show that the application of clinical decision support systems can effectively solve the problem of the limitations of clinician knowledge, reduce human negligence, lower health care costs, and provide a guarantee for the quality of medical care. It was assumed that applying clinical decision support technology will also improve the quality of community health service and solve the problem of uneven allocation of medical resources.The thesis proposes a three-layer clinical decision-support service model by analyzing the medical needs of center hospitals, community hospitals and patients, and research on the framework of diagnosis decision support system for the community on the basis of this service model, so as to fit the requirement of broad distribution of community and diversity of diseases. To reach the target, the thesis mainly conducts the following tasks:(?) Regarding with the problem of low quality in community healthcare, the thesis proposed to apply clinical decision support systems in community health, and took disease diagnosis decision support as a starting point to build system framework which can meet the needs of community healthcare.(?) In order to design and develop the system framework, the thesis analyzed the critical issues which could be solved by the framework, and studied the corresponding technical solutions.(?) The prototypes of clinical diagnosis support system for headache and Alzheimer diseases are built based on our system framework to validate its openness and scalability.The results illustrate that the system framework can support the rapid development of systems and unified management of various diseases.