Better clinical data leads to
Better research,
which
leads to
Better outcomes.
OUR FOCUS
Through advanced interoperability frameworks and AI, we transform clinical data into actionable formats, fueling clinical research that makes a difference.
WHAT WE DO
Empowering research with intelligent clinical data utilization.
THE PROBLEM
Clinical data within EHRs are difficult to use for clinical research. Whether hidden in free-text notes or stored in complicated ontologies, a large amount of clinical data remains difficult to use for research.
THE SOLUTION
Through advanced interoperability frameworks like FHIR, robust data standards, and AI, we make that data accessible, machine-readable, and actionable.
Helping researchers do more with clinical data.
THE TRIOMICS DIFFERENCE
Our software arms researchers with powerful data solutions that are simple to implement and utilize.
Access the right data for the right patient
Leveraging the widely-adopted data storage and exchange standards enables our platform to access the clinical data at scale for research.
Extract
unstructured data
Our Language Models trained on clinical data make it easier to locate and verify relevant data in unstructured data such as clinical notes, enabling more efficient extraction, review, and validation.
Standardize and map structured data
Our intuitive platform, enhanced with advanced NLP capabilities, simplifies the process of mapping non-standard codes to standardized ones. This makes setting up clinical studies a quick and efficient process.
OUR PROCESS
How critical becomes clear
01
Setting up the “Activation of Clinical Data for Research” (ACDR) Engine
- Use of standard APIs and data standards such as to access the right data from EHR
- Adaptive, clinically focused AI models ensure the highest precision at processing unstructured datasets
- NLP - assisted terminology mapping designed to quickly map local medical concept codes to standards
03
Next-gen abstraction from EHRs to EDCs
- Easily access comprehensive patient data from structured and unstructured sources in one platform, and auto-populate your EDCs with a click of a button, eliminating the need for manual reentry.
02
Intelligent patient matching
- Advanced data structuring and lineage abilities enable quick, precise searches of both unstructured and structured data for cohort discovery and patient matching with visibility into the performance of AI systems.
04
Continuous improvement
- Through user feedback, we continually refine our AI and enhance platform features to ensure the highest level of performance and usability.
01
Setting up the “Activation of Clinical Data for Research” (ACDR) Engine
- Use of standard APIs and data standards such as to access the right data from EHR
- Adaptive, clinically focused AI models ensure the highest precision at processing unstructured datasets
- NLP - assisted terminology mapping designed to quickly map local medical concept codes to standards
02
Intelligent patient matching
- Advanced data structuring and lineage abilities enable quick, precise searches of both unstructured and structured data for cohort discovery and patient matching with visibility into the performance of AI systems.
03
Next-gen abstraction from EHRs to EDCs
- Easily access comprehensive patient data from structured and unstructured sources in one platform, and auto-populate your EDCs with a click of a button, eliminating the need for manual reentry.
04
Continuous improvement
- Through user feedback, we continually refine our AI and enhance platform features to ensure the highest level of performance and usability.
