Abbott India and Redcliffe Labs Collaborate to Launch AI-Powered Clinical Reporting Solution 'AlinIQ'

Redcliffe Labs understands the challenges posed by the abundance of healthcare data, commonly known as 'Big Data.' To address this, they have developed an AI-powered Clinical Decision Support (CDS) System that transforms vast data into actionable insights.

In collaboration with Abbott India, a global healthcare giant, Redcliffe Labs has introduced AlinIQ Clinical Decision Support (CDS), powered by cutting-edge technologies such as Big Data Engines and Artificial Intelligence (AI). This development aims to improve the healthcare industry, offering promising solutions to enhance patient care and convenience.

Redcliffe Labs understands the challenges posed by the abundance of healthcare data, commonly known as 'Big Data.' To address this, they have developed an AI-powered Clinical Decision Support (CDS) System that transforms vast data into actionable insights.

By applying AI-driven algorithms, it automatically delivers decision-making support for individual patient cases, offering healthcare professionals scientific interpretations and clinical recommendations to make better treatment decisions.

Dheeraj Jain, founder, and MD of Redcliffe Labs, said that their AI-based CDS system represents a giant leap forward in the diagnostic healthcare sector, providing invaluable insights to their skilled clinicians for delivering the best possible care to patients.

Jamshyed Patrawala, country head of Abbott India, said that this integration marks a significant milestone in the diagnostic industry, promising to enhance the overall diagnostics landscape of the country. He believes this advancement will greatly support clinicians and provide better convenience for individuals, as they will receive comprehensive and personalised reports revealing their comparative health condition.

Redcliffe Labs is a rapidly growing omnichannel pan India diagnostic network, working in the diagnostic domain through its comprehensive portfolio approach. It claims to handle over 250,000 test parameters on a daily basis.