IDEAS home Printed from
   My bibliography  Save this paper

Opportunities and challenges of health management information system in India: a case study of Uttarakhand


  • Husain, Zakir
  • Saikia, Nandita
  • Bora, R.S.


The introduction of the National Rural Health Mission has increased the demand for micro-level data on population and health for use in monitoring, planning and programme implementation. This calls for the introduction of a Health Management Information System (HMIS). The launching of a national portal-based HMIS by Government of India in 2008 was a bold and innovative step. However, there are several challenges that must be overcome to develop HMIS as an effective tool for planning and monitoring. In particular, without training and motivating grass-root functionaries to report HMIS data in an accurate, timely manner and monitor its quality, HMIS data cannot be used for health sector planning. The study analyzed HMIS portal data in details in order to evaluate the quality of HMIS in Uttarakhand, a high focus state with a poor HMIS. It also documents challenges to improve HMIS based on a field survey at selected health facilities in the state.

Suggested Citation

  • Husain, Zakir & Saikia, Nandita & Bora, R.S., 2012. "Opportunities and challenges of health management information system in India: a case study of Uttarakhand," MPRA Paper 40014, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:40014

    Download full text from publisher

    File URL:
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    1. Das Gupta, Monica & Rani, Manju, 2004. "India's public health system - how well does it function at the National level?," Policy Research Working Paper Series 3447, The World Bank.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Health Management Information System; Health policy; National Rural Health Mission; India;

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • I10 - Health, Education, and Welfare - - Health - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:40014. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.