Triomics
AI-driven oncology platform streamlines trial matching, improves care.. [Contact for Pricing]
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What is Triomics?
Triomics is a generative‑AI‑powered platform designed specifically for oncology and cancer‑care providers, built to automate and streamline complex workflows around clinical trial matching, visit preparation, and data curation. At its core, Triomics uses an oncology‑tuned foundation model called OncoLLM that ingests unstructured EHR data—such as clinical notes, pathology reports, scanned faxes, and lab results—and converts it into structured, real‑time insights. These insights are then delivered through custom, use‑case‑specific agents that plug directly into existing workflows, reducing the manual chart review burden for clinicians and operations teams.
One of Triomics’ main strengths is its ability to accelerate trial enrollment by automatically screening every upcoming appointment against a site’s entire clinical‑trial portfolio and surfacing matches ahead of the visit. The platform helps providers step into consultations already informed, assembling expert‑level snapshots of a patient’s disease status, treatment timeline, biomarkers, and trial options without clinicians needing to re‑read stacks of notes. This is especially valuable in busy academic and community cancer centers where documentation volume per patient can exceed hundreds of free‑text documents.
Triomics also targets data curation and registry work, enabling cancer registries and research teams to offload manual abstraction by training AI agents on custom data dictionaries and use cases. The system claims high accuracy in extracting structured fields from unstructured records, allowing teams to generate cohorts, support quality‑improvement projects, and enable precision‑oncology initiatives at scale. Overall, the platform is aimed at oncology institutions, health systems, clinical research departments, and life‑sciences partners who need to activate EHR data for research, operations, and patient‑care workflows without adding headcount or massively extending operating hours.
Key users of Triomics include clinical trial operations teams looking to increase accrual, oncologists and advanced practitioners who need rapid visit prep, cancer‑registry staff overwhelmed with chart review, quality‑improvement and service‑line leaders, and precision‑oncology programs that rely on detailed biomarker and treatment histories. The platform is designed to run behind the EHR firewall, integrating with existing electronic health‑record ecosystems and compliant‑grade infrastructures such as Microsoft Azure, which helps address privacy and regulatory requirements while still unlocking the value of dense, unstructured oncology narratives.
Triomics pricing
Pricing model: Freemium
Pricing is not listed as a public, self‑serve tier set on the main site; instead, Triomics positions itself as an enterprise‑style solution where costs are negotiated per institution or per use case. For research and site deployments, Triomics mentions no upfront cost for setting up the platform, with sponsors billed on a per‑study basis tied to the success and utilization of the technology. Clinical and operational deployments for cancer centers appear to be structured as custom contracts rather than published monthly or annual plans, meaning exact dollar figures and included features are determined through direct engagement rather than a public pricing page.
Triomics pros
- Automates screening of every upcoming appointment against entire trial portfolio
- Reduces manual chart review time for clinical trial matching
- Generates trial matches ahead of patient visits, freeing clinician time
- Provides expert‑level patient snapshots for new or long‑gap consults
- Supports visit preparation by summarizing disease status, treatment timeline, and biomarkers
- Enables rapid matching against hundreds of ongoing clinical trials in under a minute
- Fine‑tunes agents on institution‑specific notes and custom data dictionaries
- Processes complex unstructured oncology records including scanned faxes and PDFs
- Achieves high reported accuracy in structured data extraction from notes
- Scales to tens of thousands of oncology records per month across large centers
- Supports both academic NCI centers and community oncology practices
- Integrates with existing EHR workflows rather than forcing new UIs
- Reduces ‘pajama‑time’ hours spent reviewing charts after hours
- Helps cancer registries and quality teams by automating data curation
- Designed with oncology‑specific knowledge via OncoLLM, not generic clinical model
- Supports precision‑oncology by surfacing biomarker and treatment histories at scale
Triomics cons
- Requires integration with mature EHR environments, limiting adoption at small or outdated systems
- Accuracy and performance depend on quality and completeness of local EHR documentation
- Custom‑dictionary tuning needs lead time and domain expertise
- Platform may be complex to configure for multi‑site or multi‑EHR environments
- Limited public documentation of fail‑cases or error‑handling behavior for non‑experts
- Heavily oncology‑focused, so less useful for non‑cancer care workflows
- Pricing appears to be enterprise‑style with custom contracts, not transparent self‑serve tiers
- Dependence on proprietary OncoLLM model limits model‑stack flexibility
Frequently asked questions about Triomics
What does Triomics do for oncology workflows?
Triomics uses an oncology‑tuned large‑language model, OncoLLM, to ingest unstructured EHR data—notes, PDFs, scanned faxes, labs—and transform it into structured insights that plug into existing clinical and research workflows. The platform automates tasks such as clinical trial matching, visit preparation, and data curation, helping cancer centers accelerate trial accrual, reduce manual chart review, and better leverage their EHR data for research and operations without adding staff.
How does Triomics help with clinical trial matching?
Triomics automatically screens every upcoming oncology appointment against a site’s entire portfolio of clinical trials and surfaces matches before the visit, often in under a minute. Instead of staff manually reviewing each patient’s chart for eligibility, the platform prescreens records and delivers prioritized trial options directly into the workflow, which has been shown to markedly increase trial accruals while cutting down on manual screening time.
Is Triomics only for large academic cancer centers?
No; while Triomics is used by several of the top NCI‑designated cancer centers, the platform is also designed for community oncology practices and smaller cancer programs. The core value proposition—automating chart review and data curation—applies to any site that struggles with manual abstraction for trials, registries, or quality reporting, regardless of academic status.
How accurate is Triomics at extracting structured data from notes?
Triomics reports that its system can achieve over 95% accuracy on data extraction when tuned to a custom data dictionary and use case. This means that the platform can reliably surface key fields such as biomarkers, treatment regimens, and disease stages from dense, unstructured oncology notes, with performance validated through internal studies and real‑world deployments across multiple centers.
What types of documents can Triomics process from the EHR?
Triomics is built to handle a wide range of oncology documentation, including free‑text clinical notes, pathology reports, radiology reports, genomic panels, lab results, and scanned faxes or PDFs stored in the EHR. The platform is optimized for the fragmented, multi‑format reality of oncology records, ingesting these inputs and converting them into consistent, structured insights for downstream workflows.
Can Triomics replace my clinical research coordinator or cancer registrar?
Triomics is designed to augment, not fully replace, clinical research coordinators and cancer registrars by automating the repetitive, time‑intensive parts of chart review and data abstraction. Users still oversee eligibility decisions, finalize trial consents, and interpret nuanced clinical context, but the platform reduces the number of charts they must read manually and how long they spend abstracting each record.
Does Triomics integrate with common EHR systems like Epic or Cerner?
Yes; Triomics is built to integrate with major enterprise EHRs used by cancer centers, including systems like Epic and Cerner, and it operates behind the EHR firewall. The platform ingests data feeds from these systems and surfaces insights either within the EHR interface or via complementary tools, ensuring that oncologists and staff can access trial matches and snapshots without leaving their usual workflow.
How long does it take to set up Triomics for a new use case?
Triomics notes that deploying a new, custom‑dictionary‑driven use case typically requires several weeks of lead time, during which the team works with the institution to define the data elements, train and tune the AI agents, and validate accuracy. This tuning period allows the system to adapt to site‑specific terminology, documentation styles, and workflow requirements before going live at scale.
Is Triomics compliant with privacy and regulatory standards?
Yes; Triomics emphasizes that its platform is third‑party certified under major regulatory and security frameworks such as SOC 2 Type 2, ISO 27001, HIPAA, and 21 CFR Part 11. The system is designed to run within institutional environments, keeping patient data behind the EHR firewall and minimizing external data exposure, which helps organizations meet privacy and compliance requirements for oncology research and care.
Who at a cancer center typically uses Triomics day to day?
At a cancer center, Triomics is used by clinical trial operations teams for screening and matching patients, by oncologists and advanced practitioners for visit preparation, by cancer‑registry and quality‑improvement staff for curation and reporting, and by precision‑oncology programs that need detailed, structured treatment and biomarker histories. Administrators and service‑line leaders also rely on the platform’s insights to monitor accrual rates, operational efficiency, and registry completeness across the organization.