Indian CST has inked the MOU with Karnataka State Government Health and Family Welfare Department, Govt. of Karnataka (HFWD) to be in force for a period of 10 years (till 27.04.2027) Indian CST’s Make in India Innovative Integrated GPMS Transportal for Universal Healthcare Cloud Computing Solutions Platform is been rolled through out in the Karnataka State 30 districts, 30,000 health centers which includes Govt and private too for real time monitoring of Mother and Child with Citizens Electronic Health Record with all Clinical Parameters that will allow Multiple Ministry / Stakeholders / Hospitals/ PHC’s/ Doctors / Associated healthcare Projects / Schemes to work on this single platform and the 4.5 crores patients / citizens who will be given access online to view their own medical records data online, any time , from anywhere, on any device. and further enabling the implementation of SDG-3 in the State of Karnataka.

GPMS Transportal for Universal Healthcare, which is an integrated cloud computing solutions platform linked with GIS applications, web analytics, real-time data analytics, IVRS for comprehensive decision making platform an innovative digital cloud computing platform to detect all the patients and track every patient. Clean database of beneficiaries / Citizens in the country by providing Electronic medical records for all...Indian CST has inked the MOU with Karnataka State Government Health and Family Welfare Department, Govt. of Karnataka (HFWD) to be in force for a period of 10 years (till 27.04.2027) Indian CST’s Make in India Innovative Integrated GPMS Transportal for Universal Healthcare Cloud Computing Solutions Platform is been rolled through out in the KTK State 30 districts, 30,000 health centers which includes Govt and private too for real time monitoring of Mother and Child with Citizens Electronic Health Record with all Clinical Parameters that will allow Multiple Ministry / Stakeholders / Hospitals/ PHC’s/ Doctors / Associated healthcare Projects / Schemes to work on this single platform and the 4.5 crores patients / citizens who will be given access online to view their own medical records data online, any time , from anywhere, on any device. and further enabling the implementation of SDG-3 in the State of Karnataka.

When we conceptualized GPMS Transportal for Universal Healthcare system, it focused on India's future which will be crucial to ensure the implemented system is able to exist in, make the best of and respond to the country's changing demographic, health, political and economic scenario.Ensuring equitable access for all Indian citizens, resident in any part of the country, regardless of income level, social status, gender, caste or religion, to affordable, accountable, appropriate health services of assured quality as well as public health services addressing the wider determinants of health delivered to individuals and populations, with the government being the guarantor and enabler, although not necessarily the only provider, of health and related services.
All people in India should have access to the health services they need when they login to GPMS Transportal for Universal Healthcare as all citizens today know there is lack of efficient public system which only encourages Private system to flourish.

GPMS Transportal for Universal Healthcare has the capability to capture genetic information which is going to have a big impact on Indian healthcare industry which will enable early detection of disease risk and development of new medicines.The only way to discover the limits of the possible is to go beyond them into the impossible like we have done as a team. Today we have proved what is impossible for all others is made possible today by us...It was the ability to see the invisible. If you can see the invisible, you can achieve the impossible.

  • GPMS FOR UHC
  • UMANG MOBILE
  • ICMR
  • Birac
  • MOTHER & CHILD
  • SDG DASHBOARD
  • COMMON SERVICE CENTER
  • NVBDCP
  • Nutrition Rehabilitation Centers
  • Non Communicable Disease

NATIONAL DIGITAL UHC NETWORK

NITI Aayog
ICMR
NHM
CSIR4Pi