Building Trust in Gen AI: CitiusTech's Healthcare Revolution

Healthcare Revolution

The offering is a software-based framework coupled with consulting, implementation, and support services. It leverages a state-of-the-art automated design & decision-making framework that will provide pre-packaged measures, automated output validation, and monitoring of the quality and trustworthiness of Gen AI solutions.

CitiusTech, a prominent provider of healthcare technology services, has unveiled a pioneering solution aimed at enhancing the reliability, quality, and trustworthiness of Generative AI (Gen AI) applications within healthcare organizations. The newly launched CitiusTech Gen AI Quality & Trust solution addresses critical challenges in deploying Gen AI by facilitating robust design, development, integration, and ongoing monitoring of these advanced technologies.

Rajan Kohli, CEO of CitiusTech, emphasized the pressing industry need that drove the development of this solution: “Over 80% of Gen AI initiatives face delays attributed to concerns about reliability and compliance. Our goal is to alleviate these pain points for our clients and the broader healthcare sector.” By prioritizing trust, quality, and reliability, CitiusTech aims to empower healthcare organizations to confidently adopt and scale Gen AI solutions, potentially gaining significant competitive advantages.

The Gen AI Quality & Trust solution comprises a comprehensive software-based framework complemented by consulting, implementation, and support services. It leverages state-of-the-art automated design and decision-making capabilities to deliver pre-packaged measures, automated output validation, and continuous monitoring of Gen AI solution quality and trustworthiness.

Sridhar Turaga, Senior Vice President of Data and Analytics at CitiusTech, highlighted the uniqueness of their approach: “Existing methods for building and evaluating Large Language Models (LLMs) and foundation models do not sufficiently address healthcare-specific requirements. Our solution represents the first systematic effort in healthcare to quantitatively measure, verify, and monitor Gen AI solutions.” By synthesizing insights from AI research, industry forums, and regulatory bodies, CitiusTech ensures that their solution is tailored to the nuanced demands of healthcare applications.

The integration of CitiusTech’s Gen AI Quality & Trust Solutions into existing frameworks such as MLOps, DataOps, and Quality Management Solutions is seamless. This integration supports healthcare-specific metrics across seven critical dimensions: Accuracy, Calibration, Robustness, Fairness, Bias, Toxicity, and Efficiency. Drawing on a repository of over 70 metrics and 25 methods, CitiusTech’s approach has been validated through beta testing with multiple clients and healthcare innovators.

“Our solution not only addresses current gaps in Gen AI deployment but also anticipates future needs in a rapidly evolving healthcare landscape,” added Turaga. By embedding trust and quality into every phase of Gen AI implementation, CitiusTech enables healthcare organizations to drive innovation while ensuring compliance and patient safety.

The journey towards widespread adoption of Gen AI in healthcare involves navigating complex regulatory landscapes and ensuring alignment with evolving ethical standards. CitiusTech’s commitment to enhancing trust and reliability in Gen AI applications positions them at the forefront of this transformative endeavor. Through continuous refinement and adaptation, CitiusTech aims to support healthcare providers in harnessing the full potential of Gen AI to improve patient outcomes and operational efficiencies.

In conclusion, CitiusTech’s Gen AI Quality & Trust solution represents a significant advancement in addressing critical barriers to adopting AI in healthcare. By offering a comprehensive suite of tools and services tailored to healthcare-specific challenges, CitiusTech empowers organizations to embrace Gen AI confidently. As the healthcare industry continues to embrace digital transformation, solutions like these are poised to shape the future of patient care and operational excellence.