美国医疗从业者国家提供者标识符_NPI_公开数据
收藏海数据2026-03-14 收录
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https://haidatas.com/dataset/meiguoyiliaocongyezheguojiatigongzhebiaosh_628d66fc
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资源简介:
美国医疗从业者国家提供者标识符_NPI_公开数据_National_Provider_Identifier_Public_Data 数据来源:互联网公开数据 标签:医疗保健, 医疗从业者, NPI, 医师, 医疗机构, 执业信息, 数据分析, 公开数据 数据概述: 该数据集包含来自美国国家提供者标识符(NPI)数据库的公开数据,记录了美国医疗保健系统中医疗从业者和医疗机构的详细信息。主要特征如下: 时间跨度:数据涵盖2005年5月23日至2022年2月13日期间的NPI注册信息。 地理范围:数据主要覆盖美国范围内的医疗从业者和医疗机构。 数据维度:数据集包含多个CSV文件,涵盖了NPI、从业者姓名、地址、执业地点、其他名称、医疗专业分类、医疗机构信息等。关键数据项包括NPI号码、从业者姓名、执业地址、医疗专业代码、医疗机构名称等。 数据格式:数据以CSV格式提供,包括nucc_taxonomy_220.csv、endpoint_pfile_20050523-20220213.csv、npidata_pfile_20050523-20220213.csv等多个文件,以及对应的FileHeader文件,便于数据分析和处理。 来源信息:数据来源于美国卫生与公众服务部(HHS)的NPPES(National Plan and Provider Enumeration System)公开数据,数据已进行结构化处理,方便使用者进行分析。 该数据集适合用于医疗保健行业分析、医疗从业者信息研究、以及医疗数据建模等。 数据用途概述: 该数据集具有广泛的应用潜力,特别适用于以下场景: 研究与分析:适用于医疗保健政策研究、医疗服务可及性分析、医疗机构和从业者行为研究等。 行业应用:可以为医疗保险公司、医疗服务提供商、医疗技术公司等提供数据支持,特别是在风险评估、市场分析、服务优化等方面。 决策支持:支持医疗管理部门、政府机构进行医疗资源规划、监管合规、以及政策制定。 教育和培训:作为医疗管理、公共卫生、数据科学等相关课程的辅助材料,帮助学生和研究人员深入理解医疗保健系统。 此数据集特别适合用于探索医疗从业者的分布、医疗服务提供情况、以及医疗机构的特征,帮助用户实现数据驱动的决策和策略优化。
U.S. National Provider Identifier (NPI) Public Data
Data Source: Publicly available internet data
Tags: healthcare, medical practitioners, NPI, physicians, medical institutions, practice information, data analysis, public data
Data Overview
This dataset contains public data sourced from the U.S. National Provider Identifier (NPI) database, recording detailed information of medical practitioners and medical institutions within the U.S. healthcare system. Key features are as follows:
1. Time Span: The data covers NPI registration information from May 23, 2005 to February 13, 2022.
2. Geographic Scope: The data primarily covers medical practitioners and medical institutions across the United States.
3. Data Dimensions: The dataset includes multiple CSV files covering NPI, practitioner names, addresses, practice locations, alternate names, medical specialty classifications, medical institution information, etc. Key data items include NPI number, practitioner name, practice address, medical specialty code, medical institution name, and more.
4. Data Format: The data is provided in CSV format, including multiple files such as nucc_taxonomy_220.csv, endpoint_pfile_20050523-20220213.csv, npidata_pfile_20050523-20220213.csv, as well as corresponding FileHeader files, to facilitate data analysis and processing.
5. Source Information: The data originates from public data made available by the National Plan and Provider Enumeration System (NPPES) under the U.S. Department of Health and Human Services (HHS), and has been structured to facilitate user analysis.
This dataset is suitable for use cases such as healthcare industry analysis, medical practitioner information research, and medical data modeling.
Data Application Overview
This dataset has broad application potential and is particularly suitable for the following scenarios:
1. Research and Analysis: Applicable to healthcare policy research, medical service accessibility analysis, research on the behavior of medical institutions and practitioners, and other related studies.
2. Industry Applications: It can provide data support for medical insurance companies, medical service providers, medical technology companies, and other stakeholders, particularly in areas such as risk assessment, market analysis, and service optimization.
3. Decision Support: It supports medical management departments and government agencies in medical resource planning, regulatory compliance, and policy formulation.
4. Education and Training: It can serve as auxiliary teaching materials for courses related to healthcare management, public health, data science, and other fields, helping students and researchers gain an in-depth understanding of the U.S. healthcare system.
This dataset is particularly well-suited for exploring the distribution of medical practitioners, the status of medical service delivery, and the characteristics of medical institutions, assisting users in making data-driven decisions and optimizing strategies.
提供机构:
互联网公开数据
创建时间:
2026-03-07



