Data Science and Health Data Management

Arbor Research applies modern data science techniques to manage, analyze, and interpret large-scale health datasets, including administrative claims, EHRs, registries, and patient-reported outcomes. We build secure, high-performance data platforms that support rigorous health outcomes research, predictive modeling, and quality measurement. Our team delivers end-to-end data lifecycle support—from ingestion and validation to warehousing, transformation, and analytics—tailored to meet the needs of government agencies, academic partners, and private-sector collaborators. These data solutions are deployed in cloud-native environments using AWS and Microsoft Azure, enabling scalable compute resources, containerized services, and resilient storage to support high-throughput data workflows and long-term research initiatives.

Full-Stack Application and Platform Development

Our engineering team designs, develops, and maintains scalable, cloud-based digital platforms to support health research and policy programs. We use modern, open-source and .NET technology stacks to deliver responsive, secure web applications and backend systems, often integrated with public APIs, CMS platforms (like DNN and WordPress), and Azure cloud infrastructure. Leveraging artificial intelligence to accelerate development cycles, we employ generative coding and intelligent templating to rapidly build and enhance full-stack solutions. Our platforms support longitudinal data collection, real-time analytics dashboards, automated workflows, and interoperability through FHIR, HL7, and other standards. Applications are deployed using DevOps pipelines with containerized services and automated testing, improving release quality and operational resilience.

Secure, Intelligent Software Solutions for Health IT

We deliver secure and intelligent software systems purpose-built for healthcare and public health missions. These include privacy-first applications with integrated information security controls (FedRAMP, FISMA, HIPAA), intelligent automation, and embedded analytics. Leveraging artificial intelligence and machine learning, our systems support advanced cohort discovery, risk stratification, and NLP of clinical text. Our Agile delivery approach emphasizes transparency, inspection, and adaptation, ensuring that our solutions remain aligned with stakeholder goals while accommodating iterative improvement. By integrating DevOps practices and continuous integration/continuous delivery (CI/CD) pipelines, we bridge gaps in traditional software engineering—improving collaboration across development, testing, and operations while enabling faster, more flexible delivery of high-value functionality.

Arbor Solutions LLC Capability Statement

A Data-Driven Partner in Health Research, Technology, and Innovation

Arbor Solutions is a mission-driven, agile organization built on the strength and scientific legacy of our partner, Arbor Research Collaborative for Health, a nationally recognized leader in Clinical Epidemiology and Health Policy Research. Arbor Research has delivered over 20 years of evidence-based solutions in areas such as quality measure development and implementation, policy and program evaluation, health outcomes research, disparities studies, and cost analysis—including hundreds of peer-reviewed publications, government reports, and major conference presentations.

Arbor Solutions extends this legacy with technical and operational capabilities designed to support federal health programs, delivering both innovation and reliability.