Clinical
Leveraging Agentic AI and advanced
analytics to power smarter trials.


Consulting, expert talent & clinical technology mastery
Bringing a complex trial from concept to close demands more than point solutions. Axtria supports clinical R&D with tailored strategic insights, on-demand expert teams, seamless clinical data orchestration, and best-in-class digital platforms to keep timelines tight, budgets under control, and compliance on-point.
Let’s talkEnable connected and compliant clinical systems
Leverage our end-to-end clinical data and information management solutions, from strategic consulting to hands-on execution. We guide life science organizations through the entire clinical technology lifecycle including designing and implementing clinical data platforms, and defining solution roadmaps by aligning with evolving industry standards to maximize ROI.
Ensure your clinical systems are interoperable, compliant, and insight-ready across metadata and master data management through CDISC, SDTM, and real-world data standards such as HL7 and FHIR. Build robust enterprise architecture, clinical data governance and management systems, and GxP compliance ecosystems supported by our deep domain expertise.
Integrated strategy, talent,
data & technology -
engineered around your
clinical research program
R&D platform enablement
Specialty staff augmentation
Data management & quality
Clinical strategy, innovation & adoption

- Clinical GenAI & agentic-workflow accelerators
- End-to-end platform design, build & global rollout
- System integrations (eTMF, CTMS, ePRO, LIMS)
- Change-management, training & user-adoption services
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- Biostatisticians & programming
- Clinical data managers & CDISC specialists
- Project managers and vendor-oversight leads
- RWD and data analysts
- Medical writers
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- Clinical data strategy design & implementation
- Clinical data management, warehousing, & system integration
- Governance, clinical standards & terminologies, quality
- Study insights & operational reporting, dashboarding
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- Trial design (Phase I–III) with adaptive/Bayesian options
- Indication prioritization and portfolio gap analysis
- Feasibility & site-selection (patient prevalence, site performance, timelines)
- Opportunity sizing and budget modeling
R&D platform enablement

- Clinical GenAI & agentic-workflow accelerators
- End-to-end platform design, build & global rollout
- System integrations (eTMF, CTMS, ePRO, LIMS)
- Change-management, training & user-adoption services
Specialty staff augmentation
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- Biostatisticians & programming
- Clinical data managers & CDISC specialists
- Project managers and vendor-oversight leads
- RWD and data analysts
- Medical writers
Data management & quality
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- Clinical data strategy design & implementation
- Clinical data management, warehousing, & system integration
- Governance, clinical standards & terminologies, quality
- Study insights & operational reporting, dashboarding
Clinical strategy, innovation & adoption
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- Trial design (Phase I–III) with adaptive/Bayesian options
- Indication prioritization and portfolio gap analysis
- Feasibility & site-selection (patient prevalence, site performance, timelines)
- Opportunity sizing and budget modeling
What do you want to
achieve?
-
Optimize clinical trials
- Expert-designed and data-informed clinical trial protocol development
- 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
-
Improve site selection
- Identify relevant patient populations and where they are located
- Link physician national provider identifier number to facilitate trial recruitment
- Determine site feasibility based on operational performance, available patients, competing trials, and potential research fatigue
-
Enable faster CSR authoring
- Achieve 30%–50% faster CSR authoring
- Accelerate the generation of first draft clinical study reports using Generative AI
- 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
-
Accelerate EHR to EDC data automation
- Accelerate the extraction and transformation of unstructured EHR data into structured analysis-ready formats for seamless integration with downstream clinical systems
- Achieve data extraction time from 500 hours per patient to under 30 minutes, with over 90% accuracy through automated workflows
- Minimize human errors in trial data entry and copying
- Generate meaningful, structured clinical insights from unstructured clinical notes
-
Support clinical research strategy & operations
- Trial design and optimization
- Promotional regulatory strategy and support
- Site selection and support
- Clinical analytics and data science
- Data management and analysis
- Clinical study report authoring
-
Streamline 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.
- A registry-like data capture system for longitudinal tracking able to be linked to retrospective or prospective claims
-
Accelerate phase IV randomized controlled trial
- Support investigations 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)
- RWD collection and RWE generation
- Support for pragmatic trial design and implementation
-
Drive 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 and RWD endpoints
- Regulatory package preparation and submission support

Clinical trial optimization

Site selection

Axtria rapid CSR

Axtria LUCCID

Strategy & operations

Post-launch prospective data collection

Randomized controlled trial

Pragmatic trial investigations

Clinical trial optimization
- Expert-designed and data-informed clinical trial protocol development
- 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 facilitate trial recruitment
- Determine site feasibility based on operational performance, available patients, competing trials, and potential research fatigue

Axtria rapid CSR
- Achieve 30%–50% faster CSR authoring
- Accelerate the generation of first draft clinical study reports using Generative AI
- 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

Axtria LUCCID
- Accelerate the extraction and transformation of unstructured EHR data into structured analysis-ready formats for seamless integration with downstream clinical systems
- Achieve data extraction time from 500 hours per patient to under 30 minutes, with over 90% accuracy through automated workflows
- Minimize human errors in trial data entry and copying
- Generate meaningful, structured clinical insights from unstructured clinical notes

Strategy & operations
- Trial design and optimization
- Promotional regulatory strategy and support
- Site selection and support
- Clinical analytics and data science
- Data management and analysis
- 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.
- A registry-like data capture system for longitudinal tracking able to be linked to retrospective or prospective claims

Randomized controlled trial
- Support investigations 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)
- RWD collection and RWE generation
- Support for pragmatic trial design and implementation

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 and RWD endpoints
- Regulatory package preparation and submission support
Why choose
Axtria?

Unparalleled expertise in clinical operations and technology
Decades of experience improving clinical trials for sponsors, sites, and patients, across academia, pharma, CROs, and next-gen AI-powered tech.

Next-gen technology innovation at scale
Our team can evaluate your current systems, pinpoint critical gaps, and streamline the end‑to‑end licensing, implementation, and scaling of clinical technologies to accelerate and optimize your trials.

Agentic and GenAI applications with study data
Platform-agnostic AI solutions to streamline workflows, automate data tasks, and enhance decisions, whether building new tools or integrating the best.

Methodologically rigorous analytics
Our experts apply robust, scientifically sound analytical methodologies to deliver precise, reliable insights that drive evidence‑based decisions in clinical research.
Strategize better with our insights


