CitiusTech unveils a pioneering Gen AI Quality & Trust solution for healthcare, addressing reliability and credibility needs. Combining software framework with consulting services, it offers automated measures and continuous monitoring.

New Jersey:  On February 14th, 2024, CitiusTech, a prominent healthcare technology services provider based in Princeton, N.J., unveiled a groundbreaking solution aimed at addressing the critical requirements of reliability, quality, and trust in Generative AI (Gen AI) applications within the healthcare sector.

The newly introduced CitiusTech Gen AI Quality & Trust solution marks a significant milestone in the industry, offering healthcare organizations a comprehensive platform to ensure the integrity and credibility of their Gen AI solutions. This solution encompasses the entire lifecycle of Gen AI applications, from design and development to integration and monitoring, empowering enterprises to embrace and expand the deployment of Gen AI technologies with confidence.

Combining sophisticated software architecture with tailored consulting, implementation, and support services, the Gen AI Quality & Trust solution introduces a state-of-the-art automated framework for decision-making and design. This framework is equipped with pre-packaged measures, automated output validation capabilities, and continuous monitoring mechanisms, ensuring the ongoing quality and trustworthiness of Gen AI solutions.

Furthermore, CitiusTech's solution seamlessly integrates with existing MLOps (Machine Learning Operations), DataOps (Data Operations), and Quality Management Solutions, providing a cohesive ecosystem for healthcare organizations to manage their Gen AI initiatives effectively. Anchored in real-world healthcare use cases and outcomes, the solution leverages a healthcare-specific repository comprising over 70 metrics and 25 methods across seven dimensions: Accuracy, Calibration, Robustness, Fairness, Bias, Toxicity, and Efficiency.

The development of the Gen AI Quality & Trust solution has been shaped by extensive beta-testing with multiple clients and healthcare innovators. Their feedback and insights have played a crucial role in refining and enhancing this pioneering offering, positioning CitiusTech at the forefront of driving innovation and excellence in healthcare AI technology.

Rajan Kohli, CEO, CitiusTech said, “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 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.”

Sridhar Turaga, SVP – Data and Analytics, CitiusTech said, “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.”

According to TechSci Research, the introduction of CitiusTech's Gen AI Quality & Trust solution is poised to have a transformative impact on the healthcare market, addressing critical challenges and unlocking significant opportunities for innovation and improvement across various facets of healthcare delivery and operations. By offering a comprehensive framework for ensuring the reliability, quality, and trustworthiness of Generative AI (Gen AI) applications, CitiusTech's solution can instill greater confidence among healthcare organizations in leveraging AI technologies. This confidence is essential for widespread adoption and scaling of AI applications, which have the potential to revolutionize patient care, diagnosis, treatment, and operational efficiency within healthcare settings.

One of the key benefits of the Gen AI Quality & Trust solution is its ability to streamline the development and deployment of AI-powered solutions in healthcare. By automating design, decision-making, and output validation processes, CitiusTech's solution accelerates the implementation timeline for AI projects, enabling organizations to realize the benefits of AI more rapidly and efficiently. This accelerated pace of innovation can lead to improved patient outcomes, reduced costs, and enhanced operational effectiveness for healthcare providers.

Moreover, the integration of CitiusTech's solution with existing MLOps, DataOps, and Quality Management Solutions creates a seamless ecosystem for managing AI initiatives within healthcare organizations. This integration not only enhances operational efficiency but also ensures compliance with regulatory requirements and industry standards, mitigating risks associated with AI deployment in healthcare settings.

Additionally, CitiusTech's healthcare-specific repository of metrics and methods across various dimensions such as Accuracy, Fairness, and Efficiency provides organizations with valuable insights and benchmarks for evaluating and optimizing AI applications. This repository, coupled with feedback from beta-testing with clients and healthcare innovators, enables continuous improvement and refinement of AI solutions, driving greater effectiveness and innovation in healthcare delivery.