Published on August 2026 | Medicine and Pharmacology

Integrating Traditional Indian Medical Knowledge Systems with Digital Forensic and Data Management Frameworks: A Multidisciplinary Approach to Heritage Preservation, Healthcare Innovation, and Legal Science

India’s civilizational legacy offers one of the most comprehensive frameworks for understanding health, consciousness, and nature. Traditional systems such as Āyurveda, Siddha, and Yoga, alongside folk and tribal medical practices, form an interdependent web of empirical and philosophical wisdom. They present health as a dynamic equilibrium of physical, mental, and environmental dimensions. In the modern era, Database Management Systems (DBMS), Big Data, and Digital Forensics have created transformative opportunities for preserving and validating this heritage. This paper proposes a multidisciplinary integration of traditional Indian medical systems with modern digital frameworks for documentation, validation, and authentication. By leveraging relational and NoSQL databases, data warehousing, and AI-based data mining, the immense diversity of India’s medical heritage—spanning over 8000 plant species and thousands of formulations—can be cataloged and analyzed for scientific use. Simultaneously, Forensic Document Examination (FDE) and digital forensics can ensure the authenticity of ancient manuscripts, herbal codices, and clinical records, protecting them from forgery and loss. The paper interlinks the philosophical foundations of Āyurveda (Doṣa-Dhātu-Mala, Pañcamahābhūta, Svastha Vṛtta) and Siddha (Tridoṣa, Varma, alchemical formulations) with contemporary digital paradigms like entity-relationship modeling, blockchain authentication, and AI-based handwriting verification. It further explores Yoga’s therapeutic and preventive relevance, connecting mind-body health data with biomedical analytics through sensor-based Big Data systems. The result is a conceptual framework titled “Digital Āyurveda”—a platform that unifies ancient epistemology, healthcare innovation, and forensic reliability under a single, ethical, and scientifically validated digital ecosystem.