Disease Surveillance & Epidemiology Research
Before designing a clinical trial, understanding the disease landscape is essential. Genelife Clinical Research provides comprehensive disease surveillance and epidemiological research services — enabling sponsors to make data-driven decisions on trial feasibility, site selection, patient recruitment strategy, and regulatory pathway planning.
Our proprietary Disease Surveillance Reports across major therapeutic areas are a key differentiator — built over 16+ years of clinical research operations in India, they provide real-world insights into disease prevalence, investigator networks, and patient availability across the country.
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Disease Surveillance Reports
Genelife's proprietary Disease Surveillance Reports are developed through systematic data collection across hospitals, medical associations, physician networks, and published epidemiological literature across India.
Therapeutic Area Surveillance
Comprehensive disease burden analysis across major therapeutic areas — oncology, cardiovascular, CNS, metabolic, respiratory, dermatology, and more — providing prevalence, incidence, diagnosis rates, and treatment landscape data across Indian cities and regions.
Geographic Disease Mapping
Region-specific disease mapping across India — tier 1, tier 2, and tier 3 cities — identifying optimal geographic locations for clinical trial site placement based on patient availability and disease concentration.
Investigator Database & Mapping
Our extensive database of investigators across therapeutic areas — including hospital affiliations, GCP training status, trial experience, and patient volumes — enabling rapid, evidence-based site selection for clinical trials.
Patient Population Analysis
Quantitative analysis of eligible patient populations for specific trial protocols — estimating screen failure rates, enrollment rates, and timeline projections based on real-world disease data and site performance history.
Existing Patient Data Collection & Mining
Genelife supports sponsors in accessing and analyzing existing patient data from healthcare institutions, registries, and real-world sources — generating insights without the time and cost of primary data collection.
Hospital Data Mining
Structured extraction and analysis of retrospective patient data from hospital records, electronic health records (EHRs), and clinical databases — under appropriate ethics and data governance frameworks.
Patient Registry Development
Design, implementation, and management of disease-specific patient registries — prospective data collection infrastructure capturing patient demographics, treatment patterns, outcomes, and biomarker data over time.
Medical Association Collaboration
Data partnerships with medical associations, specialty societies, and academic institutions across India — providing access to aggregated, anonymized patient data and disease statistics across therapeutic areas.
Treatment Pattern Studies
Real-world treatment pattern analysis — current standard of care, treatment sequences, concomitant medications, switching behavior, and unmet medical needs — informing clinical trial design and regulatory strategy.
Feasibility & Site Intelligence
- Trial Feasibility Assessments — country, region, and site-level feasibility for proposed clinical protocols
- Competitive Intelligence — mapping of ongoing clinical trials in the same indication across India and globally
- Site Performance Benchmarking — historical enrollment rates, protocol deviations, and quality metrics by site
- Rare Disease Landscape — specialized patient identification and mapping for rare disease clinical trials in India
- Key Opinion Leader (KOL) Mapping — identifying and profiling therapeutic area experts across India for advisory boards and site leadership
Epidemiological Research Studies
Prevalence & Incidence Studies
Population-based studies quantifying disease burden — providing the evidence base for regulatory submissions, market access, and clinical development planning.
Natural History Studies
Longitudinal observation of disease progression without intervention — generating baseline data essential for endpoint selection and sample size calculations in clinical trials.
Burden of Disease Studies
Economic and humanistic burden assessment — quantifying the healthcare costs, productivity losses, and quality of life impact of diseases to support market access and health technology assessment (HTA) submissions.
The Genelife Advantage: Our 16+ years of clinical operations in India have given us an unparalleled understanding of the Indian disease landscape, investigator ecosystem, and patient access pathways. This intelligence — embedded in our Disease Surveillance Reports and Investigator Database — directly translates into faster feasibility, better site selection, and higher enrollment rates for your clinical trial.