- RESPECTING THE PATIENT
- REWARDING OUR PARTNERS
- REALIZING HIGH-QUALITY DATA
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 TRIAL
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.
No more working around the patient.Patients consent to collect and share their data to advance research and cancer care.
REVENUE SHARING THAT HELPS
No more doing more with less.Clinics are required to do more with less, especially when conducting research. We provide value for data. Net revenue is shared with clinics to enable the necessary data collection. This revenue can also fuel further research and improve patient care.
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.
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
Blockchain-like public ledger for transparency
HIPAA compliant security
Healthcare information technology standards (HITSP)
Data analytics and reporting