New! Simplified Clinical Data Systems is excited to now offer AI-driven text analytics for health as part of its Clinical Discovery Platform (CDP), clinical trial management solution.
Leveraging the power of regulatory-compliant cloud computing from Microsoft Azure’s Cloud for Healthcare, text analytics for health is the next generation of AI-powered Natural Language Processing (NLP) technology. Text Analytics for health offers CDP users a feature-rich tool with the power to revolutionize the field of clinical trials. With text analytics for health, investigators, clinicians, researchers, and data managers will be able to extract and classify clinical trial data from unstructured medical texts with improved efficiency and accuracy.
Health
Text analytics for health is an AI-powered, integrated service that uses NLP to identify relevant keywords and phrases, infer meaningful connections, compile statistics, and streamline data analysis. Our text analytics for health solution has the potential to transform your clinical trial process, leading to faster and more effective treatments that benefit patients worldwide.
Move Your Approvals Forward, Faster.
AI-Driven Text Analytics – Demo Screen – Simplified Clinical Data Systems
Named Entity Recognition: Analyze unstructured medical data to extract words and phrases that refer to a range of medical concepts. Text Analytics for health clearly carries forward concepts that fall into the following 12 categories: Anatomy, demographics, examinations, external influence, general attributes, genomics, healthcare, medical condition, medication, social, treatment, and next steps.
Relation Extraction: Infer relationships and identify meaningful connections between concepts in unstructured medical text.
Entity Linking: Connect the extracted entities to medical ontologies, associating them with names and codes from the Unified Medical Language System (UMLS) Metathesaurus.
Assertion Detection: Confirm the meaning of medical content by adding modifiers to the extracted entities. Modifiers are determined according to the following three categories: Certainty, Conditionality, and Association
Simplified Clinical Data Systems is a contributing member of the Microsoft Azure ecosystem – using Microsoft Azure’s Cloud for Healthcare. This grants our clients trusted access to the most important future advances in clinical trial data processing, management, and analysis: Real World Evidence, Electronic Health Records via Fast Healthcare Interoperability Resources (FHIR®), and Artificial Intelligence (AI).
Our text analytics for health offering is powered by Microsoft Azure’s AI Language.
When it comes to information systems we have built a secure, feature-rich clinical data research platform backed by senior-level consulting, study design, training, support, data management, and Business Intelligence reporting.
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