Is this you?
Request access for HealthPartners Cancer Research Center with your @healthpartners.com work email. Intera will contact you to verify and set up your account — nothing auto-publishes.
HealthPartners Cancer Research Center
Unclaimed profileAcademic Network · Minnesota (multiple locations across MN and WI) · ~12 sites
Intera lens
ICP 6Lift (cardio sample) 0.07Recruit soph 0.43
Quality Scorecard (1–100)
Overall63Recruit48Ops69Sponsor59Ther78
Performance (observed)
Historical trials
256
Completed
92
Terminated/Withdrawn
21
Completion rate
81%
Active now
131
Phase 2
123
Phase 3
114
Realized enrollment
116,807
First study year
2004
Years active
22
Match confidence
high
Enrollment velocity (inf)
5,309
Therapeutic
Areas
Oncology, Cancer Prevention, Screening, Diagnosis, Treatment, Survivorship
Specialties
Oncology/Cancer Research
Breadth (conditions)
1,059
States
Minnesota, Wisconsin
Recruitment (web observed)
Trial Finder
Yes
Recruitment pages
Yes
Advertises recruitment
Yes
Capability notes
Integrated health system with community-based research access, diverse patient populations
Relationships
Sponsors
National Cancer Institute (NCI); SWOG Cancer Research Network; Alliance for Clinical Trials in Oncology; ECOG-ACRIN Cancer Research Group; NRG Oncology; HealthPartners Institute
Owner / parent
HealthPartners Health System (integrated care delivery system)
Capacity & people
Investigators
—
Coordinators
—
CEO
Unknown (Institute led by Nico Pronk, PhD - President)
VP Clinical Ops
Dylan Zylla, M.D., M.S. (Medical Director, Cancer Research Center)
VP Site Ops
Joanna Hill, MBA, CCRP (Administrative Director, Cancer Research Center)
VP Recruitment
Unknown
Tech & DCT
Uses AI
Yes
Builds tech
Mix
Tech stack
Artificial intelligence for imaging, advanced diagnostic systems, EHR integration
Recruiting visible
Y
Notes
CTGOV Signal: 5 recruiting trials across 2 locations (Minnesota). Part of HealthPartners Institute. Offers phase I-IV clinical trials. Early-Phase Therapeutics Program since 2015. Partnerships with NCI-designated consortium (MMCORC). Emphasis on equitable and inclusive research. Implementing AI for research advancement including medical cannabis and early-phase programs.
Recommendation features (sample indication)
Ind fit 0.12Liftability 0.07Overall63
FUTURE MOAT: absolute enrollment rates, funnel CPR, measured SSU, screen-fail reasons.