Core Services
Forest Pond Associates provides integrated support across in complex, regulated, and multi-stakeholder environments.
Clients typically come to us when they need to:
Operations Efficiency
Make complex enterprise or study operations and data flows more efficient and manageable (i.e. ISFs/TMFs, enterprise systems strategy and implementation)
Supply Chain Gap Analysis
Identify gaps across the end-to-end research data supply chain.
Workflow Digitization
Replace fragmented or paper-based workflows with fit-for-purpose electronic processes.
Cross-Team Coordination
Improve coordination across studies, sponsors, investigators, and site teams.
Documentation & Governance
Strengthen documentation, governance, and operational consistency.
Strategy Implementation Planning
Turn strategic goals into workable implementation plans.
Process Modernization
Make highly complex scientific, operational, or data-intensive work understandable and actionable
Clinical Data Gap Analysis
Identify gaps across the end-to-end clinical research data supply chain.
Enterprise Systems Design
Design or improve enterprise systems and implementation strategies.
Data Platform Strategy
Clarify product or platform strategy for data-driven initiatives.
Idea-to-Execution Planning
Translate promising ideas into operational plans that can actually be executed.
Governance & Long-term Readiness
Build governance and workflows that support both day-to-day performance and long-term readiness.
Our clients engage us when the stakes are high, the data are messy, the systems are fragmented, or the path from strategy to execution is unclear.
Research, Data, and Quality Systems We Work With
Forest Pond Associates supports clients across the systems and workflows that make clinical research possible. From study startup and participant-facing processes to data capture, quality systems, informatics, and governance, we help organizations build practical foundations for high-quality execution.
We bring experience across clinical research operations, consent and registry workflows, EDC and research platforms, eQMS and controlled documentation, health informatics, real-world data environments, interoperability standards, enterprise data platforms, and governance models designed to support scale, quality, and usability.
Selected areas include:
Clinical research operations and study startup
IRB, consent, registry, and participant workflows
EDC, eCOA, eCRF, IRT, REDCap, REDCap Cloud, and Viedoc
QMS implementation, ISF, TMF, Scilife, and SimplerQMS
Epic, Cerner, ISS Nexus, and RWD/RWE generation
OMOP, PCORI, Sentinel, USCDI, NIEM, HL7, and FHIR
Azure, AWS, GCP, Databricks, Microsoft data hub, and Power BI