本文分析了当前流行病学研究中偏倚问题的存在现状,从完善新型城市医疗卫生服务协作体系的角度,论述了在新的医疗卫生服务模式下,服务对象个人健康信息的完善对流行病学人群研究中控制失访偏倚、无应答偏倚、回忆偏倚、说谎偏倚、现患病例-新病例偏倚和混杂偏倚等的助益作用。 This paper analyzes the current status of biases in current epidemiological studies and from the perspective of perfecting the new collaborative system of medical and health services in cities, discusses how to improve the personal health information of service targets under the new medical and health service model, In the study, we investigated the beneficial effects of loss of follow-up bias, non-response bias, recall bias, lying bias, prevalence cases - new case bias and miscellaneous bias.