Hekka Labs introduces decentralized chronic disease data management in South Asia
Digitisation

Hekka Labs introduces decentralized chronic disease data management in South Asia

Three Indian firms namely Curisin, Immunidex and Telemedicine Indian company are part of the first phase

  • By IPP Bureau | January 14, 2022

Hekka Labs has launched a decentralized healthcare ecosystem for a far more efficient health record management. The firm will concentrate on the Southeast Asia market, starting with India, where it will establish the largest chronic disease data management network. Hekka then intends to connect to the rest of the world's healthcare market through the design and implementation of proprietary Distributed Ledger Technology (DLT).

Hekka has cemented initial partnerships with 3 Indian healthcare solution providers, Curisin, a healthcare company with a wide network of 30 million patients and 40,000 partnered doctors which as recently agreed to provide a minimum of 1.5 million medical records in 2022. A further agreement to provide up to 20 separate blood biomarkers together with Covid 19 data on 100,000 patients, will form the basis of an initial trial for its blockchain audit trail platform.

Immunidex a healthcare solution provider offering tests and applications that are driven by proprietary AI that can identify early immune-related risks and is well placed to capture highly valuable data for the Hekka network.

Telemedicine Indian Co, a start-up offering multi telemedicine services, multiple blood tests, and health screening including Covid-19 testing will form another integral part of data generation for the Hekka ecosystem.

Hekka Labs with the integration of Distributed Ledger Technology (DLT) offers a plug and go solution that allows users to interact with the Hekka ecosystem without major disruption. This set up can solve the inherent problems that occur on a regular basis in the healthcare industry such as inefficient biomarker management, document hogging and unstructured data management.

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