# Triomics

## About

Triomics | We advance oncology research and care operations by helping accelerate trial enrollment, quality improvement projects, streamline healthcare operations, and more.

- Verified: Yes

## Services

### Healthcare Technology Solutions
- [Medical Data Management](https://bilarna.com/software/healthcare-technology-solutions/medical-data-management)

### Clinical Trial Optimization
- [Trial Enrollment & Analysis](https://bilarna.com/ai/clinical-trial-optimization/trial-enrollment-and-data-analysis)

## Pricing

- Model: custom

## Frequently Asked Questions

**Q: How can AI improve clinical trial enrollment in oncology?**
A: AI can significantly enhance clinical trial enrollment in oncology by automatically screening patient appointments against a comprehensive portfolio of available trials. This process delivers daily or weekly matches directly into healthcare providers' workflows, eliminating the need for time-consuming manual searches. By integrating AI-driven trial matching, clinicians can focus more on patient care while ensuring eligible patients are identified promptly for relevant trials. This approach has been shown to increase trial accrual rates by over 30% at cancer centers, improving research efficiency and patient access to innovative treatments.

**Q: What benefits does AI provide for managing oncology medical records?**
A: AI offers substantial benefits in managing oncology medical records by automating the extraction and curation of complex, unstructured clinical data. Oncology records often include over 100 free-text or scanned documents, which traditionally require hours of manual review by staff. AI systems can be customized to a healthcare provider's specific data dictionary and use cases, achieving over 95% accuracy in data extraction. This automation reduces the burden on cancer registry and evidence generation teams, accelerates quality improvement projects, and delivers real-time insights directly into clinical workflows. Ultimately, AI streamlines healthcare operations and enhances the efficiency and accuracy of oncology data management.

**Q: How does AI integration streamline oncology healthcare operations?**
A: AI integration streamlines oncology healthcare operations by ingesting diverse clinical data formats such as notes, PDFs, scanned faxes, and lab results from electronic health records (EHR). Using oncology-specific AI models, this unstructured data is transformed into clean, actionable insights in real time. Custom AI agents tailored to specific use cases then deliver these insights directly into clinical workflows, supporting trial enrollment, quality improvement, and operational efficiency. This automation reduces manual workload, accelerates decision-making, and enhances coordination among care teams. Ultimately, AI integration leads to more efficient oncology research and patient care operations.

## Links

- Profile: https://bilarna.com/provider/triomics
- Structured data: https://bilarna.com/provider/triomics/agent.json
- API schema: https://bilarna.com/provider/triomics/openapi.yaml