top of page

Quality Improvement

HARMONY
Data curation for tumor registries
Blurry Blue

Data Curation

Built for Tumor Registries, Evidence Generation and Precision Oncology Projects 

scsd.png
Details container.png
Group 79.png
Group 70.png
Group 71.png
Group 72.png
Group 73.png
Group 74.png
Input.png
Input-1.png
Input-2.png
Input.png

The Problem

Oncology data exists in unstructured and disparate formats, reducing its usability. The current gold standard is for expert staff to manually process and curate this data, a tedious and error-prone task. 

THE PROBLEM

Oncology data exists in unstructured and disparate formats, reducing its usability. The current gold standard is for expert staff to manually process and curate this data, a tedious and error-prone task. 

OUR SOLUTION

Harmony is our EHR data curation tool, powered by OncoLLM. Deep training on use case-specific oncology data enables Harmony to accurately assist with key workflows, freeing up clinically-trained staff for higher-value tasks.
Curate data for precision oncology initiatives

03

EDC Data Curations

02

Curate data for tumor registries

01

Our solution

Harmony is our EHR data curation tool, powered by OncoLLM. Deep tuning on use case-specific oncology data enables Harmony to accurately assist with key workflows, freeing up clinically-trained staff for higher-value tasks.

Analytics Presentation.png

Curate data for tumor registries

While cancer registries provide a valuable public service, transferring mixed qualitative and quantitative EHR data into registry software is labor-intensive, prone to error, and demands clinical expertise. Harmony helps with this process, improving data accuracy and timeliness, saving costs and reducing burnout.

  • Automated curation of all NAACCR data elements found in unstructured data.

  • Registrars reduce abstraction time by an estimated 70%.

  • Implementation of NAACCR standards, dictionary, custom data collection forms and CoC reporting requirements.

  • Integrations available with leading systems of records for cancer registries to enable auto-population 

Online Analysis.png

Evidence Generation

Generating high-quality RWD and RWE requires expert abstractors to manually extract and structure information from unstructured clinical records, an effort-intensive and time-consuming process. Our platform automates this workflow, delivering structured data aligned with project-specific data dictionaries. Each data point includes AI-generated explanations and citations, enabling expert reviewers to efficiently verify and validate the output using linked source documents.

Impact in a recent RWD project:

  • 94% Accuracy in extracting 100+ data elements from primarily unstructured records, benchmarked against expert-curated datasets.
    95% Acceptance Rate from expert abstractors in prospective use, with minimal edits required across 15,000+ data points.

1. Curate data for tumor registries

While cancer registries provide a valuable public service, transferring mixed qualitative and quantitative EHR data into registry software is labor-intensive, prone to error, and demands clinical expertise. Harmony helps with this process, improving data accuracy and timeliness, saving costs and reducing burnout.

  • Automated curation of 50+ NAACCR variables.

  • Registrars reduce abstraction time by an estimated 80%.

  • Automated identification of reportable cancers with 60% reduction in effort.

  • Implementation of NAACCR standards, dictionary, custom data collection forms and CoC reporting requirements.

Data curation for tumor registries
Business Intelligence and Advanced Reporting and Analytics
2. Business Intelligence

Many times, cancer center administrators, clinicians, and staff have questions that could help with growing existing revenue and strategic service lines. These questions might include:

  • Can we identify the number of patients with metastatic Triple-Negative Breast Cancer (TNBC) expressing PD-L1 who have undergone two or three lines of therapy in the past year?

  • Utilizing the following ten established criteria, which of our current patients are considered at low risk for thyroid cancer?

Harmony provides these answers and detailed analytics within weeks, saving months and significantly reducing costs compared to assigning a team of data abstractors who would manually review charts for months.

3. Value-Based Care and Precision Oncology

Cancer care providers invest significant resources in manually curating comprehensive clinical and genomic datasets for their precision oncology programs and informing decision-making in value-based care. Harmony automates this curation process and assists in matching each patient to the appropriate clinical pathways.

  • Supports numerous clinical pathways and value assessments

  • Supports curation of any custom or on-demand data elements

  • Can work with any dataset, such as OMOP, i2b2 and others

Precision oncology, value-based care
Image by National Cancer Institute

CONTACT US

partnerships@triomics.com

contact@triomics.com

888-ONCO-LLM

(888-662-6556)

1 World Trade Center, Ste. 46C

New York, NY 10007

Copyright 2024

About us

Our team of technologists and clinicians drives our values.

Browse our site to learn more, or contact us directly to see how we can work together.

bottom of page