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CitiusTech Unveils Healthcare’s First End-to-End Generative AI Quality & Trust Solution

CitiusTech, a prominent provider of healthcare technology services and solutions, has introduced an innovative solution aimed at addressing the reliability, quality, and trust requirements for Generative AI (Gen AI) solutions within healthcare organizations.

CitiusTech, a prominent provider of healthcare technology services and solutions, has introduced an innovative solution aimed at addressing the reliability, quality, and trust requirements for Generative AI (Gen AI) solutions within healthcare organizations.

Addressing Industry Pain Points

Rajan Kohli, CEO of CitiusTech, highlighted the prevalent challenges faced by healthcare organizations in adopting Gen AI solutions. “Over 80% of Gen AI proofs of concept and initiatives face delays due to reliability and compliance concerns,” stated Kohli. He emphasized the necessity of addressing this pain point to enable seamless integration and scaling of Gen AI applications across the healthcare sector.

Empowering Healthcare Organizations

The CitiusTech Gen AI Quality & Trust solution is designed to empower healthcare organizations in designing, developing, integrating, and monitoring quality to foster trust in Generative AI applications. By prioritizing trust, quality, and reliability, CitiusTech aims to equip its clients with the confidence needed to embrace and scale Gen AI technologies, potentially gaining competitive advantages in the healthcare sector.

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Innovative Solution Offering

CitiusTech’s solution offering comprises a software-based framework complemented by consulting, implementation, and support services. Leveraging state-of-the-art automated design and decision-making frameworks, the solution provides pre-packaged measures, automated output validation, and monitoring to ensure the quality and trustworthiness of Gen AI solutions.

Pioneering Approach in Healthcare

Sridhar Turaga, Senior Vice President of Data and Analytics at CitiusTech, emphasized the groundbreaking nature of the Gen AI Quality & Trust Solution in the healthcare industry. “At present, there are no established technology or platform agnostic solutions that measure quality and trust of healthcare Gen AI solutions, end-to-end,” stated Turaga. He highlighted the solution’s systematic approach to quantitatively measure, verify, and monitor Gen AI solutions, synthesizing insights from AI researchers, platform players, industry forums, and regulatory bodies.

Integration and Testing

CitiusTech’s Gen AI Quality & Trust Solutions seamlessly integrate into existing MLOps, DataOps, and Quality Management Solutions, aligning with healthcare use cases and outcomes. The solution has undergone beta testing with multiple clients and healthcare innovators, contributing to its refinement and effectiveness.

In conclusion, CitiusTech’s Gen AI Quality & Trust Solution represents a significant advancement in addressing the challenges associated with reliability, quality, and trust in Generative AI applications within the healthcare sector. With its innovative approach and comprehensive offering, CitiusTech aims to drive transformative change and enable healthcare organizations to leverage the full potential of Gen AI technologies.

Anshika Mathews
Anshika Mathews
Anshika is an Associate Research Analyst working for the AIM Leaders Council. She holds a keen interest in technology and related policy-making and its impact on society. She can be reached at anshika.mathews@aimresearch.co
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