The IndiMR Vision
  • A Proposal to Revolutionize India’s Healthcare
  • What Do We Propose?
  • Problems
    • Lack of Medical Facilities and Expertise
    • Lack and Unavailability of Medical Records
    • Lack of Data Standards and Interoperability
    • Increased Costs to People and Organizations
    • Lack of Reliable Data for Policy and Medical Research
    • Poor Spread of Health Insurance
    • Pilferage, Corruption, Fraud and Inefficiencies
  • General Contours of the Proposed Project
    • Why Open Source?
  • India’s Unique Position, Why India? Why Now?
  • Requirements and Unique Challenges
    • mHealth Centric
    • Blockchain Based
    • Knowledge-Based System – Separation of Knowledge from Software
    • Flexible and Composable
    • Collaboration and Workflow Orientation
    • Role of Artificial Intelligence
    • Integration of Miscellaneous Healthcare Associated Processes
    • Force Multiplier Effect – Orchestra Model
  • Benefits for India
    • Improved Healthcare for Indians
    • Public Health Impact
    • Health and Healthcare Policy Research
    • Spurt in Technology Innovation
    • Boon for Private Sector
    • Boost to Insurance Sector
    • Standards-Based Approach
    • Job Creation in Healthcare
    • Centralized Functions with Economies of Scale
    • Increased Soft Clout for India
  • Funding for Pilot Project and the Prototype System
  • Counter Arguments
    • "Indian Healthcare has so many basic problems, why not solve them first?"
    • "But This Has Already Been Done!"
  • Conclusions
  • Authors
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  1. Benefits for India

Health and Healthcare Policy Research

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Last updated 6 years ago

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A shared data system will provide biomedical researchers access to a rich trove of data, allowing them to make significant discoveries. This acquires special significance as more and more genomic data (and data from other -omics) become a part of standard medical care. For Indian researchers to make a mark in this field, and to be able to create datasets that are more relevant to Indian communities, access to a large pool of data is of paramount importance.

It is conceivable that policy experimentation will also get a boost with availability of a health information infrastructure. For example, a study could aim at finding comparative cost and benefits of healthcare provided with or without insurance companies as intermediaries. Reliable data available through NEMRS, will make it possible to undertake many such studies.

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