Preliminary Evaluation of the PAAM Assessment Tool for Personalized Ayurvedic Allergy Assessment

The PAAM (Prakriti-Aligned Ayurveda Medicine) Model incorporates these domains into a structured digital assessment tool intended to support individualized Ayurvedic allergy assessment and physician-led clinical decision-making. Aim: To preliminarily evaluate the clinical applicability and interpretability of the PAAM assessment tool in patients presenting with different allergic phenotypes. Objectives: To examine the clinical information captured by the PAAM assessment, evaluate the differentiation of individualized patient profiles, assess the correspondence between documented clinical characteristics and PAAM-generated findings, and identify practical limitations encountered during real-world assessment. Materials and Methods: Three patients representing different clinical presentations were selected for qualitative evaluation. PAAM assessment data, including constitutional profile, current Dosha status, Agni, Ama, Strotas involvement, trigger sensitivity, clinical risk, disease trajectory, and patient-specific clinical information, were compared with the documented clinical presentation and available consultation records. Results: The PAAM assessment generated differentiated individualized profiles across the three cases, despite variation in age, clinical presentation, allergic triggers, chronicity, and organ-system involvement. The assessment captured multiple constitutional and functional domains, including Prakriti, current Dosha status, Agni–Ama, Strotas involvement, trigger sensitivity, and clinical risk characteristics. Conclusion: This preliminary three-case evaluation suggests that the PAAM assessment tool can organize multidimensional Ayurvedic and clinical information into individualized patient profiles that are clinically interpretable within physician-led allergy care. The findings support further systematic evaluation of the tool; however, they do not establish diagnostic accuracy, therapeutic efficacy, or formal validity. Larger studies are required to assess reliability and reproducibility.