Clinical Solutions
Clinical solutions reimagined - delivering value with GenAI
From accelerating clinical study report generation by 30%–50% with over 90% accuracy to converting unstructured health records into structured data, Axtria’s GenAI solutions are creating true value for its customers.
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Transform clinical study report generation with GenAI
Axtria's innovative GenAI solution slashes clinical study report creation time by 30%-50% and reduces the manual effort and errors significantly to help bring the life-saving treatments to the patients faster.
Transform clinical study report authoring process with GenAI powered automation
Harness the power of GenAI to accelerate clinical study report authoring process, enhance accuracy, and ensure regulatory compliance.
Overcome challenges in clinical data workflows through clinical information management
Axtria’s core clinical information management capabilities encompass consulting & execution for clinical data platforms and implementation services.
Our clinical experts and SMEs advise on enterprise architectures & solution roadmap; industry trends and maximizing ROI; metadata repository and master data management; change management and migration strategy; GxP compliance; data governance; data lineage and traceability; CDISC, SDTM, ADaM; RWD & EHR, HL7, FHIR:
- Clinical data strategy design & implementation
- Clinical data management, warehousing, & system integration
- Governance, clinical standards & terminologies, quality
- Study insights & operational reporting, dashboarding
Enhance the value of trial insights with clinical data science
Leverage Axtria’s deep domain and consulting expertise in data science to maximize the value of insights generated from clinical trials; find and tell the hidden story in the data supporting product value proposition.
ML-based trial performance, recruiting, and likelihood of success
Machine Learning & Predictive AI to assess clinical protocols, site and patient fit for optimizing patient recruitment & trial performance.
AI enabled site & patient engagement
AI-driven insights to enhance site identification, patient recruitment and retention, overall trial efficiency for accelerated clinical success.
Gen AI applications with study data
Unlock the potential of Gen AI to automate clinical trial data curation, analysis, and reporting to drive efficiency and innovation in clinical study workflows.
ML framework and operations
Accelerate clinical trials with ML and MLOps, ensuring efficient model deployment, continuous monitoring, and scalable AI-driven insights for data-driven decision-making.
Patient matching to clinical trials
Enhance trial efficiency with AI-powered patient matching, identifying eligible participants faster while improving recruitment precision and trial outcomes.
ML-based clinical data monitoring
Ensure data integrity and compliance with AI/ML-driven monitoring, enabling real-time insights and proactive issue detection in clinical trials.
Axtria clinical innovation supports faster, better trials
Clinical trial optimization
- Expert designed and data informed clinical trial protocol
- Testing trial inclusion/exclusion criteria against real-world data
- Analysis/re-analysis of de-identified electronic health record data
- Integration of social determinants of health data for trial diversity, equity, and inclusion
Site selection
- Identify relevant patient populations and where they are located
- Link physician national provider identifier number to reach out to facilitate trial recruitment
- Determine site feasibility based on operational performance, available patients, competing trials, and potential research fatigue
30%–50% faster CSR authoring
- Accelerate generation of first draft clinical study reports using GenAI
- Input tables, listings, and figures and output narrative summaries of high-level results
- Prompt engineer with iterative feedback from experts for scientific tone and preparation for regulatory submission
- Substantially reduce NDA approval timelines
Our work in late phase investigations supports a variety of study objectives and designs
Support for clinical research strategy and operations
- Trial design and optimization
- Promotional regulatory strategy
- Site selection and support
- Clinical analytics and data science
- Data management and analysis
- Promotional regulatory support
- Clinical study report authoring
Post-launch prospective data collection
- Multi-pronged approach with multiple data partners for comprehensive identification and collection of fit-for-purpose prospective data
- Integration across data types, including consented trial data, linked tokenization to administrative claims, wearable devices, digital data, social determinants of health, etc.
- Registry-like data capture system for longitudinal tracking
Phase IV randomized controlled trial
- Support limited areas of the investigation consistent with our business and areas of expertise
- Manage the overall Phase IV program as coordinating PMO
- Vendor selection and management (CRO, labs, IRT, data management)
- Ownership of RWD/E or any additional pragmatic components
Pragmatic trial investigations
- Support the full scope of the investigation
- Trial design, feasibility
- Statistical analysis plan
- Site contracting (through robust site network partnerships)
- Trial initiation, conduct and closure
- Data Pipeline, primary data collection
- Operational dashboarding
- Integration of RWD data/endpoints
- Regulatory package preparation and submission support
Simplify clinical trials through solutions and innovations that maximize return on investment
Better designed trials for the right patients and endpoints
Reduce errors through good data management and science
Enhanced solutions Phase I-IV for continuity and ongoing support
Innovations transforming clinical research to improve patient care
What are Axtria Clinical leaders thinking about?
White Paper
GenAI-Enabled Automation to Eliminate Clinical Trial Data Bottlenecks and Errors
White Paper
30%–50% Faster Clinical Study Reports with Generative Artificial Intelligence-Powered Automation
White Paper