Triomics is an AI-powered platform designed to streamline and automate clinical workflows in oncology. Tailored specifically for cancer centers, hospitals, and research institutions, Triomics enables clinicians, researchers, and administrators to manage clinical documentation, trial matching, and decision-making more efficiently.
By leveraging natural language processing and machine learning, Triomics integrates with hospital systems to extract meaningful insights from unstructured clinical data such as physician notes, pathology reports, and EMRs. This allows oncology teams to reduce manual documentation, identify eligible patients for clinical trials in real time, and enhance multidisciplinary collaboration.
Founded with a mission to advance precision oncology, Triomics provides cancer care teams with the tools needed to reduce administrative burden, improve patient outcomes, and accelerate clinical research.
Features
Triomics offers a range of features built to support the unique challenges of oncology care and clinical research.
AI-Based Trial Matching
Automatically identifies eligible patients for clinical trials by scanning patient records and matching against trial criteria in real time.
Clinical Documentation Automation
Extracts structured data from unstructured sources like physician notes, pathology reports, and imaging summaries to streamline documentation and reduce manual entry.
Multidisciplinary Team (MDT) Tools
Supports tumor boards with automated case summaries, relevant clinical insights, and centralized collaboration tools.
Decision Support
Delivers AI-powered suggestions for treatment options and trial inclusion based on clinical guidelines, patient history, and molecular data.
EHR Integration
Works with existing electronic health record systems to surface relevant insights within clinician workflows.
Real-Time Alerts and Dashboards
Notifies clinicians about potential trial matches, pending documentation, or key clinical developments.
Scalable Architecture
Designed for deployment across academic cancer centers, hospitals, and clinical research networks.
Security and Compliance
HIPAA-compliant infrastructure with end-to-end data encryption and access controls to protect patient data.
How It Works
Triomics works by integrating directly with a hospital’s electronic health records, pathology systems, and other data sources. Once integrated, the platform uses AI algorithms to continuously scan unstructured clinical documents and extract structured information, including diagnoses, biomarker results, treatment history, and eligibility parameters.
This extracted data is then used to automate processes such as clinical trial matching, MDT preparation, and documentation generation. For example, when a patient’s pathology report is updated, Triomics can instantly assess whether the patient matches inclusion criteria for any active clinical trials and alert the care team.
The platform also prepares case summaries for tumor boards, highlighting the most relevant clinical and molecular data needed for collaborative treatment planning. All insights are delivered within the existing clinician workflow, minimizing disruption and supporting faster decision-making.
Use Cases
Triomics is designed for a variety of stakeholders involved in cancer care and research.
Cancer Centers
Streamline tumor board preparation, automate trial matching, and reduce time spent on documentation.
Clinical Researchers
Accelerate patient recruitment and improve trial feasibility assessments through real-time matching and data insights.
Oncologists
Access AI-generated treatment suggestions, clinical summaries, and real-time alerts that support patient-specific care planning.
Hospitals
Reduce operational burden on staff, ensure compliance, and improve data quality for reporting and audits.
Molecular Tumor Boards
Centralize data from pathology, radiology, and genomics to support personalized treatment recommendations.
Clinical Operations Teams
Monitor trial enrollment pipelines and manage documentation workflows with improved visibility and automation.
Pricing
Triomics does not publicly disclose its pricing structure on its website. Pricing is typically customized based on the institution’s size, scope of implementation, integration needs, and number of users.
Healthcare providers, cancer centers, and research institutions can request a personalized demo and pricing proposal through the Triomics contact page.
As an enterprise-grade platform, Triomics is designed for mid-size to large healthcare organizations looking to scale AI-powered clinical automation.
Strengths
Purpose-built for oncology workflows, unlike generic clinical AI platforms.
Automates time-consuming tasks like trial matching and tumor board preparation.
Integrates seamlessly with EHR systems, reducing workflow disruption.
Improves documentation accuracy with AI-extracted clinical data.
Accelerates clinical research and trial enrollment.
Supports personalized cancer care through real-time, evidence-based insights.
Compliant with HIPAA and other data protection regulations.
Enables multidisciplinary collaboration with centralized tools and summaries.
Drawbacks
Currently focused exclusively on oncology, limiting use outside of cancer care.
Requires EHR and data system integration, which may take time and IT resources.
No public pricing or trial version for evaluation by smaller clinics.
AI recommendations must still be reviewed and validated by clinicians.
Performance depends on the quality and completeness of existing clinical documentation.
Limited visibility into adoption outside of major academic and cancer-focused institutions.
Comparison with Other Tools
Triomics stands out in a growing field of clinical AI platforms by focusing exclusively on oncology. Unlike general AI healthcare tools like Tempus, Flatiron Health, or nference, Triomics emphasizes real-time trial matching, tumor board support, and unstructured data extraction directly from EMRs.
Compared to Flatiron Health, which provides oncology-specific analytics and real-world data, Triomics is more operational in nature—automating documentation, MDT prep, and clinical decision support.
Tools like Tempus focus heavily on molecular profiling and lab-driven treatment matching, whereas Triomics brings together structured and unstructured clinical data to automate day-to-day workflows in cancer care.
Triomics also differs from EHR-native clinical decision tools by offering deeper AI capabilities and NLP-powered data extraction that adapts to non-standard clinical notes and reports.
Customer Reviews and Testimonials
While Triomics does not list detailed public testimonials or customer reviews, the platform is used by leading cancer institutions and has gained recognition within the clinical AI and health tech ecosystem.
On its website, Triomics highlights partnerships with top-tier hospitals and research organizations that leverage its AI to improve patient care and research throughput.
Clinical users appreciate the platform’s ability to reduce time spent on documentation and manual trial matching, enabling them to focus on direct patient care and strategic research initiatives.
Organizations interested in exploring adoption can request reference accounts and case studies through a private demo session.
Conclusion
Triomics is advancing the future of oncology care by introducing AI-powered automation into the heart of clinical workflows. By extracting meaningful data from complex medical records, automating documentation, and identifying real-time clinical trial opportunities, Triomics helps cancer centers deliver more efficient, personalized, and research-driven care.
Purpose-built for oncology teams, the platform brings much-needed innovation to areas traditionally weighed down by administrative tasks and fragmented systems. With a strong foundation in AI, compliance, and clinical utility, Triomics is positioned as a powerful enabler of precision cancer care and clinical research transformation.
