Data Analytics

iKure through its in-house developed low-cost data analysis technology is able to capture, collect and process, different types of data including biological samples, medical statistics and medical imaging data up to the last mile.

iKure team collects insights into community activities and relationships by observing ingestion habits, hygiene, sanitation practices, and lifestyle and livelihood patterns of the community members. As various demographic, behavioural and clinical data becomes part of the WHIMS module, leveraging these insights iKure works with global research partners to understand the root cause of diseases and design holistic healthcare solutions that cannot be cured only by medication.

Data captured through WHIMS holds great potential to understand how inherent genetic variants contribute to certain genetic diseases that are commonly found in the community. iKure is creating the framework for Big data & Data Analytics that includes both behavioural and demographic aspects, together with health data and clinical data are used by iKure medical practioners to improve their ability to diagnose, and treat patients suffering from genetic disorder, thereby improving standard of care accordingly.

WHIMS is also geared for Data Analytics & Predictive Algorithms which will help to forecast various diseases & their root causes. This way the treatmets of various diseases can be done in a well planned manner leading to better diagnosis & cure. Using data analytics and predictive analysis, iKure aspires to gain better understanding of rare disease propagation. Such insights with regards to gender, age, ethnicity & geography locations etc, can quantify the relationship between disease pattern, their occurrence and healthcare access in the region. The outcome of such data base can lead to improved health services and health related information for timelier and actionable health care initiatives.

iKure is working with Despande Foundation and GCI in Karnataka and Orissa to study the livelihood patterns of the community members and its effect on the health outcomes.

In view of the privacy challenges related to Data access, iKure is using anonymization algorithm to effectively preserve both patient’s privacy and data utility. iKure's data anonymization ensures balance between data utility and required participant data privacy. iKure is also using high security measures for the Data Security & Privacy.

Using the evidence based evaluation metrics of improved health parameters of the communities through this model, iKure is lobbying to change national health policies to make holistic healthcare solutions that treat the root cause of diseases, rather than just treat individual illnesses by medicine or surgery, the accepted paradigm of healthcare in India.

Going forward, we aspire to work with Pharma companies wanting to market-test their products. We intend to collaborate with Public health networks such as WHO and government organisations that are looking to understand what kind of treatments are efficacious and can be plugged together with regard to specific epidemics (saving data collection costs).

We are also keen to collaborate with research organisations wanting to conduct medical research, including students looking to understand a disease. This kind of data generated through WHIMS is valuable both from a social (in terms of preventive care) and research aspects.

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