SLIIT Conference and Symposium Proceedings

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Integrating Western Medicine with Ayurveda in Sri Lanka: Innovative Approaches to the Holistic Management of Thalassemia
(School of Nursing, Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Thilakasiri, T
Thalassemia is a common hereditary anaemia in Sri Lanka, posing significant clinical and economic challenges. Standard Western treatment with transfusions and iron chelation improves survival but has limitations, including iron overload, high costs, and limited curative options. Ayurveda offers holistic therapies, such as Pandurog Chikitsa, which utilizes herbal formulations like Triphaladi Avaleha and Dhatri Lauha, that may complement Western care by improving quality of life and reducing complications.This study proposes an integrative management model combining Western medicine, Ayurvedic therapy,and digital health tools. Methods included a literature review, simulated expert interviews, and development of a Fast Healthcare Interoperability Resources (FHIR) -compatible electronic health record (EHR) prototype. Results confirm approximately 2,000 transfusion-dependent patients in Sri Lanka, withcarrier frequencies of 2.8% for β-thalassemia and up to 10% for α-thalassemia. Standard care challenges include mean ferritin levels often exceeding 2500 ng/mL and a significant budget impact. Ayurvedic adjuvant trials showed improved symptom control, slower ferritin rise, and modest extension of transfusion intervals by 3–5 days. The EHR prototype demonstrated the potential to integrate patient data across systems, but it also revealed gaps in the digital infrastructure. Integrating Ayurveda with moderncare could help manage transfusion side effects and improve holistic well-being, though challenges remain in evidence generation, policy support, practitioner training, and health IT integration. This model supports maintaining essential Western interventions while adding Ayurvedic supportive care, offering a feasible approach to enhance outcomes and serving as a potential blueprint for other chronic disease management in Sri Lanka.
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Ayurvedic Knowledge Sharing Platform with Sinhala Virtual Assistant
(2019 1st International Conference on Advancements in Computing (ICAC), SLIIT, 2019-12-05) Jayalath, A.D.A.D.S.; Nadeeshan, P.V.D.; Amarawansh, T.G.A.G.D.; Jayasuriya, H.P.; Nawinna, D. P.
Apart from western medicine methods Ayurveda medicinal system is a very huge and better resulting medicinal technique. In these Ayurveda methods identification of indigenous plants to predict the medicines is very important and must do very carefully. Generally main components that we use to identify a plant are leaf, flower, trunk and root etc. Among these features, we use images of leaves and flowers. To do this we are using deep learning based CNN approaches and machine learning and technologies. Those are OpenCV, and Tensorflow classification algorithm. According to the evidences that we gathered from surveys and interviews that we conducted with the responsible parties we could find out that lots of people don’t have much knowledge about indigenous medicinal plants and their Ayurveda treatment methods. To overcome this problem we implemented Ayurveda information centralized chatbot which is able to answer user’s questions relevant to the Ayurveda and indigenous medicinal plants. Chatbot will analyze the question that user asks and will provide answers according to that. Another useful feature of this system is it provides relevant information of Ayurveda doctors. So users can find doctors according to their needs and they are able to rate and give recommendations for the doctors. That will be help others to find doctors more easily and efficiently without any doubt.

SLIIT Conference and Symposium Proceedings

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