- REALIZING HIGH-QUALITY DATA
- REWARDING OUR PARTNERS
- RESPECTING THE PATIENT
When it comes to advancing cancer research, the problem is not a lack of technology, or good intentions, it is the absence of a model that unifies the nation. Taproot is providing the solution that benefits everyone through partnering with patients, clinics, researchers, and businesses to finally collect and share the data that is necessary to advance precision oncology.
THE NATIONAL CANCER
OUTCOME REGISTRY
Data That Transforms
No more small and incomplete data sets.
We collect regulatory-grade data from community and academic centers across the nation. Complete patient outcomes are linked to detailed biomarker data, providing a complete picture of care.
Unity That Heals
No more going it alone.
Cancer is too big of a problem for any one group or company to solve. We need to come together to collect and share the data that is needed.
Permission Matters
No more working around the patient.
Patients consent to collect and share their data to advance research and cancer care.
Revenue Sharing That HElps
Providing value for data.
Clinics are required to do more with less, especially when conducting research. Net revenue is shared with clinics to enable the necessary data collection. This revenue can also fuel further research and improve patient care.
The Network
TAPROOT EMPOWERS CLINICS TO COLLECT AND SHARE DATA
We need a national, high-quality cancer database. Taproot Health, is making it a reality. Our network is built by oncologists for oncologists, and their patients. Community and academic centers are motivated to work together. Physician time is protected by using simplified data collection methods that seamlessly integrate with clinical workflows. Scientists have direct access to de-identified data for research. Clinics share in any net-revenue to advance personalized medicine.
The Platform
REGULATORY GRADE DATA ON EVERY PATIENT
Databases are only as good as the underlying data. ROOT has been designed as an end-to-end solution, focusing on quality and quantity of data through the following methods or standards:
- Multi-stakeholder prospective clinical data protocol
- AHRQ/Medicare compliant patient registry design
- Standardized, consensus-driven data elements and data dictionary
- Patient consent management
- Clinic training and certification
- External audit and independent review capability
- Detailed files types
- Blockchain like public ledger for transparency
- HIPAA compliant security
- Healthcare information technology standards (HITSP)
- Data analytics and reporting