Prognos Health Inc. and Datavant top healthcare analytics companies are combining technologies to bring personalized ecosystems of patient health data to customers. The partnership between the analytics companies uses AI-powered analytics to track patient data and predict diseases while Datavant specializes in breaking down the silos and analyzing health data securely and privately. Prognos uses Datavant’s health data analytics ecosystem technology to expand the data providers that can easily access information such as clinical decisions, identify risk, improve care quality, and develop the overall health of patient outcomes. Though the healthcare sector is grappling with variety in information and patients need analytics that can reduce healthcare cost and faster diagnosis.

According to Prognos, it has been a barrier for the healthcare sector to incorporate clinical lab insights for analytics because of every lab’s every single data complexity. The Prognosis software provides a standardized view of national and regional laboratory results in the registry of 24 million records that cover 200 million patients and over 50 diseases conditions. Datavant notes the potential benefits of interconnected data, including faster and lower risk development with a better understanding of new diseases that are all set to improve the patient care and provide with a cheaper health system that also ties cost to value.

In addition to providing predictive patient health solutions, data analysis is integral for business value. Gartner has identified health data analysis as a significant barrier to achieve the required CIO objective and predict healthcare organizations that will emphasize AI and advanced analytics spending in 2019. Datavant is all set to acquire Prognos diagnostic data de-identification product, Opal to enable data sharing with other Datavant partners, as the business is specially designed to allow predicted data sharing. Readily available data and access to lab-based AI technologies and advanced algorithm that enable better decision making earlier in the patient journey.