Kumar Manish, Mostafa Javed, Ramaswamy Rohit
1 MEASURE Evaluation, USA.
2 Carolina Health Informatics Program, USA.
Health Inf Manag. 2018 May;47(2):85-93. doi: 10.1177/1833358317709704. Epub 2017 May 24.
Health information systems (HIS) in India, as in most other developing countries, support public health management but fail to enable healthcare providers to use data for delivering quality services. Such a failure is surprising, given that the population healthcare data that the system collects are aggregated from patient records. An important reason for this failure is that the health information architecture (HIA) of the HIS is designed primarily to serve the information needs of policymakers and program managers. India has recognised the architectural gaps in its HIS and proposes to develop an integrated HIA. An enabling HIA that attempts to balance the autonomy of local systems with the requirements of a centralised monitoring agency could meet the diverse information needs of various stakeholders. Given the lack of in-country knowledge and experience in designing such an HIA, this case study was undertaken to analyse HIS in the Bihar state of India and to understand whether it would enable healthcare providers, program managers and policymakers to use data for decision-making. Based on a literature review and data collected from interviews with key informants, this article proposes a federated HIA, which has the potential to improve HIS efficiency; provide flexibility for local innovation; cater to the diverse information needs of healthcare providers, program managers and policymakers; and encourage data-based decision-making.
与大多数其他发展中国家一样,印度的卫生信息系统(HIS)为公共卫生管理提供支持,但无法让医疗服务提供者利用数据提供高质量服务。鉴于该系统收集的人口医疗数据是从患者记录中汇总而来,这种失败令人惊讶。造成这种失败的一个重要原因是,卫生信息系统的卫生信息架构(HIA)主要是为满足政策制定者和项目管理者的信息需求而设计的。印度已经认识到其卫生信息系统中的架构差距,并提议开发一个集成的卫生信息架构。一个能够在地方系统的自主性与中央监测机构的要求之间取得平衡的赋能卫生信息架构,可以满足不同利益相关者的多样化信息需求。鉴于在设计这种卫生信息架构方面缺乏国内知识和经验,本案例研究旨在分析印度比哈尔邦的卫生信息系统,并了解它是否能让医疗服务提供者、项目管理者和政策制定者利用数据进行决策。基于文献综述以及对关键信息提供者访谈收集的数据,本文提出了一种联邦卫生信息架构,它有可能提高卫生信息系统的效率;为地方创新提供灵活性;满足医疗服务提供者、项目管理者和政策制定者的多样化信息需求;并鼓励基于数据的决策。