Flexible Solutions for Every State of Evidence Generation

Data Exports provide clients with secure, customized datasets generated by ACC's in-house NCDR Data Analytics Team. Exports are tailored to client specifications and delivered through compliant, secure methods. For enhanced analysis and insight development, NCDR also supports linking NCDR data to CMS claims data and secure tokenization for linking to other third-party datasets.

What you can do with it:

• Regulatory-ready datasets – Support FDA Post-Approval Studies (PAS), other Post-Market Approval (PMA) requirements, Medicare Coverage with Evidence Development (CED) studies, and other global regulatory commitments with trusted, curated real-world data.
• Post-market surveillance – Monitor longitudinal device and therapy performance, safety outcomes and patient characteristics across real-world clinical settings.
• Market intelligence – Uncover treatment patterns, adoption trends and utilization insights by geography, facility type and patient population.
• Portfolio strategy – Power product development, hypothesis generation and strategic planning with evidence-based insights.
• Data enrichment – Link NCDR data with CMS claims or third-party datasets to power outcomes research, economic analyses, payer-focused evaluations and more.

Custom Analytics provide flexible, tailored analytical services to transform NCDR data into actionable insights. These analyses are tailored to support organizations in answering complex research questions, meeting regulatory requirements, accelerating clinical initiatives and supporting strategic decision-making. Leveraging the depth and scale of NCDR data, ACC's in-house team of data scientists, analysts and developers deliver customized solutions that generate meaningful, real-world evidence and operational insights.

Key Applications:

• Population and outcome analytics
  • Retrospective analysis and outcomes reporting
  • Regulatory and population health focused evaluation
  • Geographic and demographic population characteristics
  • Optional collaboration with NCDR participating facilities for site‑level data
• Advanced data science
  • Predictive modeling and risk stratification
  • Statistical and comparative effectiveness analyses
  • Custom algorithms and analytic methodologies to address specialized research questions
• Cohort identification and clinical trial support
  • Patient population feasibility assessments
  • Cohort benchmarking against inclusion and exclusion criteria for industry-sponsored clinical trials or investigator-initiated studies
  • ACC‑led recruitment outreach to NCDR sites for trial invitations or related initiatives
• Data linking activities
  • Secure data tokenization to support data matching
  • Feasibility assessments with third‑party datasets
  • Enhanced insights through integrated real-world data sources

NCDR eReports Life Sciences gives pharmaceutical, medical device and other life sciences organizations a dynamic environment for real‑time data monitoring and visualization of NCDR datasets. With weekly data refreshes, interactive filters, trend monitoring and snapshot reporting, the platform generates rapid insights between full data collection cycles. Select customizations can also support tailored needs, such as collaboration with NCDR participating facilities for site‑level data monitoring.

What you can do with eReports Life Sciences:

• Real-time market insights – Track utilization, demographics and treatment patterns between full data collection cycles.
• Adoption and performance tracking – Monitor therapy uptake, procedural volumes and outcome metrics across populations and regions.
• Early indicators and product safety signals – Spot emerging trends faster with weekly refreshed data and automated metric reporting.
• Ongoing device or therapy evaluation – Follow clinical outcomes and key performance indicators over time to support post-market strategy and reporting.
• Site-level benchmarking – Engage with NCDR participating facilities to monitor therapy impact, identify variability and focus outreach.

Research Proposal Applications (RPAs) support peer‑reviewed evidence generation using NCDR data analyzed by an ACC‑contracted Data Analytic Center (DAC). Each RPA produces a publication package that includes an abstract, a presentation and a manuscript for journal submission. This pathway is designed for academic researchers, professional societies, research institutions and industry partners seeking rigorously developed, peer‑reviewed evidence.

Explore our comprehensive portfolio of NCDR-based research papers published in leading peer-reviewed journals and abstracts presented at major scientific conferences: https://cvquality.acc.org/NCDR-Home/research/published-research

What you can do with RPAs:

• Peer-reviewed scientific publications – Develop high-quality manuscripts using rigorous NCDR data and advanced analytic expertise.
• Scientific presentations – Produce abstracts, posters and oral presentations for leading clinical and scientific meetings.
• Regulatory policy and evidence – Build credible real-world evidence to support regulatory discussions, guideline development and policy decisions.
• Targeted clinical research – Answer focused clinical questions on outcomes, utilization or disparities.

Grant‑Funded Proposal Applications support sponsored or federally funded research initiatives that involve NCDR data. This pathway is ideal for complex, multi-study efforts that require multiple RPAs or an NCDR Preliminary Letter of Support prior to grant submission. These applications help teams align with NCDR requirements early in the funding process.

What you can do with grant-funded support:

• Externally funded research support – Align grant-funded studies with NCDR data capabilities and publication governance.
• Multi-study research programs – Coordinate complex projects that require multiple RPAs or phased research frameworks.
• Grant application readiness – Support pre-award funding submissions with NCDR engagement and Preliminary Letters of Support.
• Collaborative research partnerships – Enable large-scale efforts across academic institutions, industry sponsors and research consortia.