

Clinical research drives medical innovation—but it’s often slowed by one persistent problem: data fragmentation.
Patient information is scattered across EHRs, labs, imaging systems, and external networks. Trial recruitment depends on manual chart reviews, static data extracts, or vendor tools that don’t see the full patient journey.
As a result, trials struggle to meet enrollment goals, timelines stretch, and promising therapies are delayed.
Hart’s HealthMatch™ changes that.
Built on the power of Hart Platform, HealthMatch™ unifies and activates healthcare data to make clinical research faster, smarter, and more equitable.
We help hospitals, research networks, and CROs match patients to trials in real time, assess population feasibility instantly, and streamline the path from data to discovery.
Even the most advanced clinical trial software can’t overcome poor data quality. Today’s research landscape faces three major barriers:
Disjointed Data Sources Clinical, genomic, and social determinants of health data reside in separate systems, often formatted inconsistently.
Incomplete Patient Views When health systems use multiple EHRs, a single patient’s journey may span years of disconnected data.
Manual, Inefficient Recruitment Research teams spend months identifying eligible patients—only to discover incomplete or outdated records.
The result?
Only 1 in 5 trials meet their enrollment timelines.
Over 70% of studies experience a 6–12 month delay.
Billions of dollars are lost annually in operational waste.
HealthMatch™ was built to eliminate these barriers—turning unified healthcare data into real-time research intelligence.
HealthMatch™ leverages advanced matching algorithms and configurable rule engines to align patient data with protocol inclusion/exclusion criteria. Using unified and validated data from Hart Platform, HealthMatch™ identifies eligible participants in minutes—not months.
Match against demographics, diagnoses, medications, labs, procedures, and encounters.
Define or import trial criteria using FHIR-based query models.
Apply dynamic filters for comorbidities, medication history, or social factors.
View confidence scores for each match based on data completeness and recency.
The result: faster recruitment, lower screening burden, and improved trial diversity.
Before a trial begins, HealthMatch™ enables researchers to assess the size, distribution, and characteristics of eligible patient populations across their network.
With HealthMatch™ Analytics, research teams can validate protocol design and recruitment targets before site activation—reducing costly mid-trial adjustments.
HealthMatch™ supports compliant, de-identified data access for secondary research, observational studies, and AI model training. By leveraging Hart’s privacy-preserving framework, your organization can enable cross-site collaboration without exposing protected health information (PHI).
Roles may include:
Now, researchers can innovate faster—without compromising privacy.
Unlike static research databases that require periodic manual updates, HealthMatch™ maintains continuous synchronization with live EHR data. New labs, diagnoses, or patient status changes are automatically incorporated into matching algorithms—keeping cohorts accurate and recruitment lists current.
This dynamic refresh capability eliminates data lag, ensuring your trials always operate with the most up-to-date information.
HealthMatch™ is built on the same data fabric used for clinical operations and analytics—ensuring data consistency and governance across your entire enterprise.
Supports data from 150+ EHR systems, lab, imaging, and registry sources—without proprietary connectors or vendor lock-in.
Bridges operational and research environments, allowing seamless collaboration between care teams and investigators.
All research enablement complies with privacy regulations and institutional review board (IRB) standards.
Deploy HealthMatch™ in weeks, not months—accelerating time to first patient enrollment.
Identify trial-eligible patients across multi-EHR environments.
Reduce manual chart review time by up to 80%.
Build a sustainable research infrastructure leveraging existing data assets.
Support investigator-initiated and industry-sponsored studies with equal ease.
Evaluate feasibility across networks using real-world patient data.
Accelerate site activation and recruitment cycles.
Improve diversity metrics and regulatory compliance.
Monitor enrollment progress through real-time dashboards.
Use the same unified dataset to power predictive models, real-world evidence studies, and precision-medicine initiatives.
HealthMatch™ connects all stakeholders around one trusted data foundation—improving efficiency, transparency, and outcomes in clinical research.
|
Traditional Recruitment Tools |
HealthMatch™ Clinical Trial Enablement |
|
Static data snapshots |
Continuous data synchronization |
|
Limited to one EHR vendor |
Works across 150+ EHRs and data types |
|
Manual matching and validation |
Automated, criteria-based matching |
|
Weeks to months for feasibility |
Real-time cohort and site analytics |
|
Minimal data governance |
Full auditability and compliance framework |
HealthMatch™ transforms clinical trial enablement from a manual process into an intelligent, data-driven capability.
Clinical research is entering a new era—one where speed, diversity, and data integrity determine success. HealthMatch™ is designed to meet that moment.
We’re already expanding capabilities to support:
AI-driven predictive recruitment models.
Federated data queries across research networks.
Synthetic control arms using validated, real-world data.
Adaptive trial analytics for decentralized and hybrid study designs.
By connecting the clinical and research worlds through data accessibility, Hart is redefining how healthcare innovation happens.
12+ Years of Experience in healthcare data integration and research enablement.
Trusted by Hospitals, CROs, and Academic Networks nationwide.
Proven Technology: Hart Platform already power unified data for more than 150 vendors.
Ethical Framework: Every deployment upholds patient privacy and research integrity.
Measurable ROI: Faster trials, lower cost per enrollment, and higher data reliability.
Hart’s approach empowers organizations to modernize research operations while maintaining full compliance and trust.
Every day lost to manual recruitment or fragmented data delays access to life-saving therapies. HealthMatch™ gives your team the tools to act now—with confidence, compliance, and speed.
Transform your healthcare data into a research-ready engine for innovation.
Schedule your Free Data Strategy Consultation to see how HealthMatch™ can modernize your clinical trial enablement strategy.
HealthMatch™ is a clinical trial enablement solution that matches patients to trials using unified, real-time healthcare data.
By automatically matching protocol criteria against longitudinal patient records.
Yes. It supports population feasibility and site selection analytics.
Yes. Broader, more accurate patient identification improves equitable recruitment.
Yes. De-identified and privacy-preserving access is supported.
Continuously, using Hart’s Persistent Data Pipeline.
Yes. It connects directly to EHR data without manual abstraction.
Yes. It supports observational and real-world evidence research.
CROs, academic medical centers, health systems, and life sciences partners.
Organizations report faster recruitment, improved enrollment rates, and reduced trial startup timelines.