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「National Cardiovascular Clinical Medicine Research Center of Anzhen Hospital」Intelligent Follow-up Platform.
「National Cardiovascular Clinical Medicine Research Center of Anzhen Hospital」Intelligent Follow-up Platform.

Reserach Center Introduction:

The National Cardiovascular Clinical Medicine Research Center of Beijing Anzhen Hospital Affiliated to Capital Medical University ranks the second in the world in terms of the scale of diagnosis and treatment in the cardiac internal and surgical departments. It is one of the largest bases for the incubation, application and evaluation of new technologies for cardiovascular disease diagnosis and treatment and the training of cardiovascular specialists in the country. It has established a research network including more than 200 hospitals, and has a sample library of 35,000 cases of coronary heart disease, hypertension, atrial fibrillation, aortic dissection and other diseases collected according to international standards. During the 12th Five-Year Plan period, it completed the construction of information and sample libraries for 60,000 normal populations, 15,000 normal population cohorts and 150,000 cases of cardiovascular diseases.


Background:

  • Patient follow-up is a necessary requirement for the establishment of a research cohort by the National Cardiovascular Clinical Medicine Research Center of Beijing Anzhen Hospital. However, the manual follow-up has a heavy workload, and the time and labor costs are high;

  • With the development of intelligent voice technology, using AI technology to create an automatic robot follow-up system can effectively alleviate the above drawbacks and improve the quality and efficiency of follow-up.


Implementation:

  • Personalized automatic follow-up for single diseases such as atrial fibrillation, heart failure with atrial fibrillation, heart disease, and coronary heart disease

  • Record the patient's follow-up information, extract key indicators, improve the patient's follow-up data, form a research closed loop, and support data retrieval and analysis


Key Technologies:

Speech recognition, speech synthesis, semantic understanding, human-computer interaction, text structuring, disease-specific database, etc.