Tripartite MoU Signed to Advance AI-Driven Healthcare Solutions Across India
In a significant development for the healthcare technology sector, Findability Sciences Private Limited, Nath School of Business & Technology (NSBT), and MMRI Kamalnayan Bajaj Hospital have formalized a tripartite Memorandum of Understanding (MoU). This strategic partnership is designed to collaboratively research, develop, test, and deploy artificial intelligence (AI)-driven healthcare solutions throughout India, aiming to enhance medical outcomes and operational efficiencies.
Key Focus Areas of the Collaboration
The MoU establishes a comprehensive framework for building and validating advanced AI applications in several critical domains. The primary areas of focus include:
- Clinical decision support to assist healthcare professionals in making informed choices.
- Diagnostics augmentation to improve the accuracy and speed of medical diagnoses.
- Predictive analytics for forecasting patient health trends and potential risks.
- Operational optimization to streamline hospital workflows and resource management.
- Patient outcomes improvement through personalized care and treatment plans.
- Hospital efficiency enhancements to reduce costs and improve service delivery.
By integrating enterprise AI expertise from Findability Sciences, academic research rigor from NSBT, and real-world clinical environments from Kamalnayan Bajaj Hospital, the collaboration seeks to ensure that the developed solutions are practical, ethical, and scalable across India's diverse healthcare landscape.
Leadership Perspective on the Initiative
Anand Mahurkar, Founder and CEO of Findability Sciences, emphasized the importance of this partnership, stating, "Healthcare AI must be built where decisions are made—at the intersection of data, clinicians, and real operational constraints. This collaboration allows us to design and validate AI systems that are not only technically sophisticated but also clinically meaningful, compliant, and ready to scale across India's healthcare ecosystem."
Roles and Responsibilities Defined
The MoU clearly outlines the distinct roles of each partner to maximize the effectiveness of the collaboration:
- Findability Sciences will lead in AI architecture, model development, platform creation, and governance frameworks.
- Kamalnayan Bajaj Hospital will provide clinical expertise, anonymized healthcare data for research, and real-world testing environments to validate AI applications.
- Nath School of Business & Technology will contribute faculty expertise, research resources, and involve student participation to foster innovation and academic rigor.
This structured approach aims to bridge the gap between AI research and real-world healthcare deployment, moving beyond pilot projects to implement solutions that measurably improve patient outcomes and operational efficiencies. The partnership underscores a commitment to advancing healthcare technology in India through collaborative efforts and ethical AI practices.
