Choose the clinical program you want to access. Each program has a dedicated landing page with focused workflow details and login access.
Comprehensive knee arthritis assessment, treatment tracking, structured analytics, and evidence-based care management.
Cardiorespiratory clinical registry designed for outcome tracking, care pathway planning, and multidisciplinary monitoring.
The VIMS Disease Registries, developed by the Dr. Vithalrao Vikhe Patil Foundation's College of Physiotherapy, Ahilyanagar, are data-driven platforms for structured patient data collection. They capture clinical and functional outcomes to support evidence-based physiotherapy practices. Dedicated modules, including Arthritis and Cardiac registries, enable focused and condition-specific care. Overall, they enhance patient outcomes and contribute to the advancement of rehabilitation science.
Records clinical and functional details of arthritis patients to track outcomes, support evidence-based physiotherapy, and enable meaningful research.
Rigorous multi-stage verification protocols ensure high-fidelity clinical datasets for global citation.
Full compliance with institutional review boards (IRB) and strict adherence to patient consent norms.
Direct translation of longitudinal findings into improved, evidence-based patient care pathways.
This is a unique rare disease patient registry. Are you interested in using our data to further your rare disease research?
Learn MoreInformation collected during this study may be used to help provide opportunities for patients and researchers to collaborate in the rare disease community.
Learn More
A digital registry capturing clinical and functional data of COPD patients to monitor outcomes, improve cardiorespiratory physiotherapy care, and support research.
Partner with us to improve patient health outcomes through high-fidelity clinical data and collaborative research.
Secure patient enrollment with integrated consent management.
Baseline clinical parameters and quality of life metrics.
Time-series data collection at varying standard intervals.
Statistical processing for outcomes and publication.