Data Partnerships
Explore new revenue from your health center’s data.
Your clinical and operational data could become a source of revenue for your organization. CRP helps FQHCs evaluate and pursue data licensing opportunities with AI developers and research partners.
We focus on the commercial opportunity, the work required and the potential financial return to your center—alongside responsible use and the value the data can contribute to healthcare.
Demand
Start with buyer demand.
We look for a match between what prospective buyers need and the data your organization can make available for an agreed use. That includes understanding the patient population, data types, history, quality and delivery requirements.
A defined opportunity gives your leadership a basis for deciding whether the preparation and participation are worthwhile.
Approach
Build a clear financial case.
Understand the opportunity
Assess which data could be relevant to prospective buyers and what characteristics may make it useful.
Evaluate the economics
Clarify proposed licensing terms, preparation costs, ongoing obligations and how revenue would flow to your organization. Assess the potential benefit after accounting for the work involved.
Prepare for a qualified use
Coordinate the technical and specialist expertise needed to assess access rights, prepare the data and address privacy requirements for the proposed use.
Support the commercial partnership
Help your team evaluate counterparties, define responsibilities and coordinate delivery under the agreed terms.
Stewardship
Financial value with responsible stewardship.
A sound partnership should offer a clear benefit to your center and appropriate oversight of how data is used. We consider existing agreements, permitted uses, privacy, staff effort and ongoing obligations as part of the opportunity assessment. Your leadership decides which partnerships to pursue.
Explore your data’s potential.
Tell us a little about your organization and the information you already collect.
For data buyers
Have a specific data requirement?
AI developers, data buyers and research teams can share the use case, data requirements and timeline they are working toward.