中文摘要：

基于Tamm等提出的数据驱动价值路径模型，以A市智慧医疗项目为背景，应用单案例研究法，对该市智慧医疗应用成效以及推动医疗供给侧改革的路径进行了探索研究。结果发现：（1）基于云计算和大数据技术的智慧医疗项目不仅可以通过大数据医保控费助力政府监管部门精准识别医保骗保用户，创新区域卫生决策预警机制还能帮助病患实现个性化诊疗结果／费用查询，促进医院远程诊疗服务模式创新；（2）智慧医疗项目的应用对医疗管理决策的改变主要体现在：集中共享的数据，实时预警式分析和数据驱动的决策；（3）智慧医疗大数据平台的应用能够产生三类数据服务，分别是数据咨询服务，自助式分析工具服务和算法代码化服务，它们有助于推动医疗供给侧控制医疗成本、弥补服务短板两大目标的实现。

英文摘要：

Based on the data- driven value path model proposed by Tamm and with A City smart medical program as background, this paper studies A City＇s application effect of its smart medical programs and its path in promoting the medical supply-side reform. The results show that （ 1 ） the smart medical programs based on Cloud computing and large data technology not only helps government supervision departments identify fraudulent users of medical insurance accurately and innovate regional health decision- making warning mechanism, but also helps patients achieve personalized diagnosis and treatment results or cost query and promote the service mode innovation in hospital remote diagnosis and treatment; （2） the changes in medical management decision-making caused by smart medical program application are mainly manifested in centralized shared data, real-time warning analysis and data-driven decision-making; and （3） the application of smart medical large data platform can generate three types of data service, i.e, data consulting service, self-service analytical tool service and algorithm code service, all of which help to realize the goals of promoting medical supply-side to control medical cost and making up short board service.