Big Data and Public Health Policy Evaluation
This series of studies systematically evaluates the effectiveness of public policies by utilizing real-world data. Our team primarily focuses on national health policies, fully leveraging the advantages of multi-system data, including data from hospitals, community health service centers, disease control and prevention centers, and other sources. Through statistical analysis, our team assesses the impact of relevant policies on public health, including disease risks and corresponding economic burdens. Furthermore, utilizing the integrated health data, our team also trains and fine-tunes large language models on unstructured text within medical data. We are committed to developing prediction tools for individual health outcomes and providing efficient overall evaluation methods for assessing policy effects.

Cardiovascular Risk of Heat Stroke


The ongoing global warming has significantly increased the frequency of extreme weather events. We established a real-word and population-based cohort encompassing over nine million individuals to explore the impact of extreme heat on population health and to assess the health benefits of heatwave warning. Our research revealed that heat-related illnesses is associated with a 1.5-fold increase in the risk of subsequent cardiovascular diseases, including a 1.3-fold increase in the risk of stroke, a 0.5-fold increase in the risk of atherosclerosis, and a 1.9-fold increase in the risk of myocarditis and cardiomyopathy. Furthermore, we found that heat warnings issued by meteorological agencies can reduce heat-related hospitalization by 9.8% and further long-term cardiovascular disease incidence by 3.6%. This study addresses a critical gap in understanding the long-term relationship between heat-related illnesses and cardiovascular disease risk, and for the first time, quantifies the health benefits of policy interventions. These findings have been recognized by relevant government agencies and meteorological departments, and have been incorporated into policy development as scientific evidence, thereby positively influencing public health strategies.

Does Chronic Disease Management Reduce Comorbidity? An Empirical Study


With a dataset encompassing millions of individuals' medical records, I have constructed real-world cohorts of patients with hypertension and diabetes to assess the health benefits of Chronic Disease Patient Management program within basic public health services. The research revealed that the program reduced the risk of patients developing additional chronic diseases and were effective across all subpopulations. Furthermore, when examining individual interventions within the management programs, the study finds that different interventions yielded varying health benefits for different conditions. Overall, interventions targeting alcohol control, medication adherence, and psychological support exhibited the most significant health benefits.