CitiusTech Introduces Healthcare's Inaugural end-to-end Gen AI Quality & Trust Solution

CitiusTech, a top-tier healthcare technology services provider, has unveiled an unprecedented solution designed for healthcare entities. This solution aims to tackle the reliability, quality, and trust aspects of Generative AI solutions. Through the CitiusTech Gen AI Quality and Trust solution, organizations can efficiently manage the entire lifecycle of Gen AI applications, ensuring robustness, reliability, and scalability across the enterprise.

“We are working with many clients on Gen AI solutions. But we find that over 80% of Gen AI proofs of concept and initiatives are delayed due to reliability and compliance concerns, due to a lack of trust in Gen AI solutions. This is the pain point we are trying to solve for our customers, and the healthcare industry at large. By prioritizing trust, quality, and reliability, we empower our clients to fully embrace Gen AI technologies, gaining potential competitive advantages in the healthcare sector. We are integrating this capability seamlessly into all our solutions and projects, ensuring our clients can confidently benefit from scaling Gen AI-powered solutions", said Rajan Kohli, CEO, of CitiusTech. 

This solution comprises a software framework along with consulting, implementation, and support services. It utilizes an advanced automated design and decision-making framework. This system delivers pre-packaged metrics, and automated output validation, and monitors the quality and reliability of Gen AI solutions.

“At present, there are no established technology or platform-agnostic solutions that measure quality and trust of healthcare Gen AI solutions, end-to-end. Approaches used in building and evaluating LLMs, and foundation models are useful but have not been designed for healthcare. Our Gen AI Quality & Trust Solution is the first systematic approach in healthcare to quantitatively measure, verify, and monitor Gen AI solutions. This solution also synthesizes and builds on work by AI researchers, platform players, industry forums, and regulatory bodies. We go beyond pure math or tech and contextualize everything to healthcare context”, said Sridhar Turaga, SVP – Data and Analytics, CitiusTech.

CitiusTech's Gen AI Quality & Trust Solutions seamlessly integrate with existing MLOps, DataOps, and Quality Management Solutions, aligning with healthcare use cases and objectives. Its healthcare-centric repository boasts over 70 metrics and 25 methods spanning 7 dimensions: Accuracy, Calibration, Robustness, Fairness, Bias, Toxicity, and Efficiency. This approach has undergone beta testing with numerous clients and healthcare innovators, shaping our offering based on their feedback and insights.