By leveraging both structured and unstructured EHR data, we conduct robust research that uncovers critical real-world insights and drives transformative healthcare strategies
High-Level Introduction
High-Level Introduction
Our Intelligent Clinical Trial Development Platform harnesses advanced natural language processing, real-world data integration, and automated workflows to bring unprecedented speed and accuracy to clinical research. Whether you’re optimizing protocol design, automating essential trial documents, or generating final reports, our unified system ensures consistency, cuts down on manual labor, and delivers real-time insights at every step.
High-Level Introduction
Our RWE services leverage electronic health record (EHR) data – particularly unstructured physician notes – to uncover critical insights that conventional analytics often overlook.
By applying advanced natural language processing (NLP), machine learning (ML), and large language models (LLMs), we analyze real-world data, such as patient journey, treatment patterns, patient outcomes, etc.
This empowers sponsors, CROs, and research teams to make evidence-based decisions for clinical development, safety monitoring, medical communication, and reimbursement across both the US and Asian healthcare landscapes.
Key Features
Deep, Unstructured Data Mining
o Goes beyond coded fields in EHRs to extract nuanced information hidden in narrative physician notes, progress reports, and discharge summaries.
o Identifies subtle relationships and real-world patterns related to patient adherence, side effects, and disease progression.
Advanced NLP & ML
o Harnesses sophisticated language models to interpret complex medical jargon, abbreviations, and context-specific nuances.
o Seamlessly integrates structured (e.g., labs, vitals) and unstructured data to provide a holistic view of patient health and outcomes
Global Data Coverage
o Leverages EHR data spanning the US and Asia, incorporating diverse patient demographics and treatment practices.
o Addresses region-specific differences in healthcare delivery, language usage, and disease prevalence to enrich global evidence generation.
Actionable Intelligence
o Translates extracted data into quantifiable endpoints, segmentation strategies, and trends relevant to real-world clinical practice.
o Supports critical functions such as hypothesis generation, post-market surveillance, and outcomes research.
AI-Powered Trial Design
Leverage historical trials, medical literature, and real-world evidence to create robust, data-driven protocols. Our automated engines suggest optimal inclusion/exclusion criteria, endpoints, and sample size calculations for faster, more effective study launches
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Why Partner With Us?
Deep Insights: Shorten the time needed for manual chart reviews and data cleaning, enabling deep insight of data
Higher Data Fidelity: Capture the nuances of patient experiences and clinical decision-making, often lost in structured fields alone
Regulatory & Compliance Alignment: Operate under rigorous data privacy and security standards (HIPAA, GDPR, and region-specific regulations), ensuring responsible management of sensitive patient information
Future-Focused Adaptability: Evolve alongside emerging data standards, adopt new ML tools, and expand to additional therapeutic areas or geographies as your research needs grow
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Lead with insight. Scale with intelligence.