Analysis of factors inhibiting the customer engagement of eHealth in India: Modeling the barriers using ISM-Fuzzy MICMAC analysis.

Introduction: The current study aims to evaluate and measure the relationship between the customer engagement barriers influencing the adoption of eHealth in India. Previous studies have shown that low levels of engagement can lead to worse health outcomes, so this study is an expanded version of those findings to highlight those challenges.

Methodology: For this, the study followed three phases of research: factor identification through a review of the literature; expert opinion for selecting key and pertinent factors for the study; and application of interpretive structural modelling approach to capture the proper association between various factors.

Non-vesicular Lipid Transport Machinery in : Novel Drug Targets against Trichomoniasis.

Eukaryotic cells have separate membrane-enclosed organelles with distinct biochemical identities and specialized functions. The unique characteristics of each organelle are regulated by asymmetric distribution and intra-cellular trafficking of two important biomolecules, proteins and lipids. Non-vesicular lipid transport facilitated by lipid transfer proteins performs essential roles in intracellular lipid trafficking and homeostasis, while vesicular transport regulates protein trafficking.

A fuzzy analytic hierarchy process-based analysis for prioritization of barriers to the adoption of eHealth in India.

Introduction: eHealth is essential for revolutionising the health sector in India. eHealth enhances patient-centred healthcare by providing digital solutions to improve the quality of care, communication between doctors and patients; enhances the management of health data and integration of healthcare systems. Despite the importance of eHealth and the National Digital Health Mission in India, the adoption of eHealth faces several barriers.