By leveraging real-world data with proprietary AI/NLP-driven platforms and digital engagement technologies, Indegene accelerates the pace of patient recruitment, reduces development costs, and improves patient retention.
Improve time
to market by
Reduce clinical
development costs by
While managing risks throughout the
clinical development cycle
Indegene's Catapult ecosystem offers solutions across the clinical development spectrum and is supported by prequalified site network that is digitally enabled for secure data transfer and efficient trial operations.
Optimized product portfolio through repurposing/repositioning
Protocol design with right CRF parameters & patient subpopulations
Synthetic control arms & trial simulations based on historic data
e-source platform coupled with digital patient recruitment for faster trials
Statistical models & built-in visualization for cohort & data management
RWD-linked data through semantic ontology frameworks
Queryable & regulatory compliant ASW-based data infrastructure
Submissions plan by predicting HA queries & preempting rejections
Automated medical writing assisted by AI/NLP technology
Indegene's linked data pipelines integrate HEOR, claims, genomics, lab, and other data sources to model disease states and their progression in a real-world patient population context using graph-based predictive algorithms. This helps Indegene optimize trial designs, identify right patient subpopulations, and program risk factors to enable successful trial outcomes.
Indegene's graph-based linked RWD data sets
Model disease states and patient journeys leading to better trial design
Indegene's omnichannel intelligent recruitment solution uses RWD-enabled targeted digital marketing approaches to identify patients, conduct efficient primary and secondary screening, and transfer the right patients to clinical trial sites.
Indegene's highly successful “concierge” model leveraging trained clinical research nurses increases the conversion and eventual randomization.
Indegene's automated content platform integrates disparate content and data sources into modular content elements using NLP algorithms, which then are converted to submission-ready dossiers.
Our intelligent content process eliminates redundancy, increases speed accuracy, and reduces costs at an enterprise level.
Raw data
Modular content
Intelligent authoring
Submission-ready documents
iPlan, Indegene's regulatory submissions planning platform, connects to different enterprise systems to understand your submission needs and creates an automated plan, considering the latest regulatory requirements for submission types, products, and markets.
Automated plan through intelligent forecasting and latest regulatory updates
Bundling related submissions to optimize effort and time to market
Customized business rules to reduce submission errors and improve chances of approval
Single view into all submission-related data through enterprise-wide system integrations
Real-time tracking that alerts to impact on submission timeline based on project changes
Improve capacity utilization through resource planning
Indegene's "databox" delivers custom curated structured clinical and molecular data in analysis-ready formats using proprietary AI/ML algorithms and data ontologies spanning multiple therapeutic areas.
Our prequalified site network across emerging markets including Asia and Africa allows quick and efficient data collation for delivery to global clients.
Indegene data
partnerships/data licenses
Unstructured data
Structured data
Correlated data sets for answering specific research questions
