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. Problems

Lack of Medical Facilities and Expertise

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Last updated 6 years ago

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The network of government provided healthcare facilities in India though massive, remains insufficient for the size of its population. The deficiency is appalling for many rural and remote areas.

Currently, India’s healthcare network includes over 1.55 lakh health sub-centers, 25,000 primary healthcare centers, 5,500 community health centers, 1,000 sub-divisional hospitals and 773 district hospitals. This is supplemented by thousands of private facilities and hundreds of private and government medical college based hospitals. Yet it is estimated that there is a deficiency of nearly 6 lakh doctors, 35,000 sub-centers, 6,500 PHCs, and 2,200, CHCs. Despite the recent increase in number of students graduating from MBBS colleges, only 11.3% of such doctors work in the rural sector.

Not only are the government health facilities plagued with gross lack of trained doctors, much of supportive health workforce is made up of semi-literate, poorly trained personnel. The workers’ performance is not fully tracked, since much of their work occurs at homes of the villagers and in the communities, away from the supervision normally available in health centers. Government health facilities do not have systems to track the activities of workers away from centers. As a result, absenteeism and poor performance is rampant.

Since the doctors working in rural areas do not have access to a peer circle and knowledge resources, their motivation to keep up with the advances, to improve their diagnostic acuity and patient management skills erode over time.

A sound ICT-based solution could help by allowing adequate utilization of the workforce, and cover for the deficiencies by allowing doctors to efficiently supervise the workforce, or to support each other’s work, even remotely, resulting in distribution of workload, without having to employ more people. Electronic Health Record systems that have clinical guidelines and clinical decision support systems embedded in them can play an important role in patient care and in training of the workforce.

It has been suggested that other healthcare personnel and practitioners of AYUSH (Ayurveda, Yoga, Unani, Siddha, and Homeopathy) schools of medicine could be trained with enough modern medicine skills to bridge the gap. Some states have even implemented such training programs. With executable decision support based guidelines linked with NEMRS, the AYUSH practitioners can be expected to be better equipped to treat potentially dangerous conditions.

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