Harnessing Predictive Analytics in Ayurvedic Medicine: Strategic Approaches For Business Expansion and Data-Driven Decision-Making

DOI

10.2991/978-2-38476-559-1_31How to use a DOI?

Keywords

Ayurvedic Artificial Intelligence; Future of Healthcare; Preventive Medicine Approach; Machine Learning Technology; Customized Therapy

Abstract

The use of predictive analytics in Ayurvedic healthcare offers healthcare organizations with a paradigmatic shift to enhance better business judgments, processes streamlining and environmentally friendly business improvement. The purpose of the paper is to explore how predictive analytics supported by artificial intelligence (AI) can change Ayurvedic healthcare to detect symptoms of physiology imbalances and diseases before they become full-fledged conditions; and prevent reactive healthcare paradigm and move toward preventive healthcare paradigm. With the combination of information on traditional methods of diagnosis, wearable healthcare, and electronic healthcare records, AI offers information-based support that can accommodate early intervention programs regarding Ayurvedic philosophies. This paper discusses the way to build predictive models that will fit into the logic of the Ayurvedic diagnostic assessment and ways in which AI will enhance pulses resolutions, dosha diagnosis, and the dosage prescribed to suit the individual patient. Moreover, the paper dwells upon how machine learning could assist in improving the accuracy of diagnostic testing, empowering patients, and automatizing the work of the healthcare system. The aspects of ethical data agendas, such as data security and privacy, cultural suitability, and reasonable AI implementation, are presented to facilitate responsible and equal AI usage. This paper highlights such implications as these of completing clinical operations in the above-discussed areas and having overarching business strategy and population-level healthcare implications: being able to capture emerging AI trends in the market and increase access and improving accessibility to healthcare services and being able to accompany providing data-driven decision support at a strategic level in Ayurvedic businesses. By blending ancient wisdom of Ayurveda and cutting-edge AI technology, the paper comes up with some recommendations that business can exploit its innovative potential by increasing its business penetration and customer trust in prediction and preventive healthcare products.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - S. Ayyappan
AU  - Mayan K. Sreerudran
PY  - 2026
DA  - 2026/04/19
TI  - Harnessing Predictive Analytics in Ayurvedic Medicine: Strategic Approaches For Business Expansion and Data-Driven Decision-Making
BT  - Proceedings of the Global Innovation and Technology Summit “AAROHAN 3.0”_HSS track (GITS-HSS 2025)
PB  - Atlantis Press
SP  - 479
EP  - 497
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-559-1_31
DO  - 10.2991/978-2-38476-559-1_31
ID  - Ayyappan2026
ER  -