【摘要】 [目的]对“十四五”时期省级层面数字健康政策进行梳理和量化评价，为政策制定和完善提供对策建议。[方法]采用ROST CM 6.0软件对11份数字健康政策进行文本挖掘，构建政策一致性（Policy Modeling Consistency, PMC）指数模型，包含9个一级变量和39个二级变量，并对政策文本进行量化分析。[结果]11项政策的PMC指数均值为6.41,其中3项是优秀政策，8项是可接受政策。一级变量X₁政策性质（0.89）、X₈政策功能（0.87）、X₉政策评价（0.86）评分较高；X₂政策时效（0.33）、X₃发布机构（0.34）、X₅政策对象（0.73）、X₇政策内容（0.76）评分较低。[结论]我国省级层面数字健康政策仍有一定的提升空间。建议强化政策短期突破、中期布局与长期引领的有机衔接，建立政府主导、多元协同、共建共享的治理体系，着力提升政策体系的均衡性与完整性，激发区域创新发展活力。更多还原

【Abstract】 Objective To sort out and quantitatively evaluate the digital health policies at provincial level during the “14th Five-Year Plan” period, and to provide countermeasures and suggestions for policy formulation and improvement. Methods The ROST CM 6.0 software was used to conduct text mining on 11 digital health policies, and a Policy Modeling Consistency（PMC） index model was constructed, which included nine first-level variables and 39 second-level variables. Quantitative analysis was carried out on the policy texts. Results The average PMC index of 11 policies was 6.41, among which three were excellent policies and eight were acceptable policies. Among the first-level variables, X₁ policy nature（0.89）, X₈ policy function（0.87） and X₉ policy evaluation（0.86） had relatively high scores, while X₂ policy timeliness（0.33）, X₃ issuing institution（0.34）, X₅ policy target（0.73） and X₇ policy content（0.76） had relatively low scores. Conclusions There is room for improvement in digital health policies at the provincial level in China. It is suggested to strengthen organic connection among short-term breakthroughs, medium-term layout, and long-term leadership of policies; establish a governance system led by the government, with diversified collaboration, joint construction and shared benefits; and focus on improving the balance and integrity of the policy system to stimulate the vitality of regional innovation and development.更多还原