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Arbor Capabilities for AI-Assisted Technical Assistance
As public health programs scale, technical assistance must become faster, more consistent, and more data-informed—without sacrificing quality, trust, or human judgment. Arbor Research brings a practical model for AI-assisted TA that combines public health expertise, secure technology operations, and continuous quality improvement.
1) Safety and Governance
AI-assisted TA must be governed before it is deployed. Arbor emphasizes human-in-the-loop review, approved knowledge sources, role-based access, auditability, privacy protection, accessibility, and alignment with federal information security, data governance, and AI policy expectations. Our approach treats AI as a controlled decision-support and knowledge-management capability—not as a substitute for official policy interpretation, program eligibility decisions, or subject matter expert judgment.
2) Operationalization
AI only creates value when embedded into real workflows. Arbor can operationalize AI-assisted TA through structured knowledge bases, intake triage, response drafting, case routing, quality audits, Salesforce-enabled dashboards, performance metrics, and feedback loops. This supports faster response times, more consistent answers, better identification of recurring questions, and more scalable support during surges in demand.
3) Fresh Strategy and Dissemination Ideas
AI-assisted TA should also help programs learn from the questions they receive. Arbor can use TA trends, platform analytics, user feedback, and content gaps to inform targeted outreach, FAQs, short-form explainers, webinars, newsletters, stakeholder toolkits, and partner “communication champion” strategies. The result is not just better helpdesk performance—it is a smarter dissemination engine that turns individual TA requests into systemwide learning and broader program impact.
For mission-driven programs like the National Diabetes Prevention Program Customer Service Center, the opportunity is clear: use AI carefully, govern it rigorously, and apply it where it can improve responsiveness, consistency, reach, and continuous improvement.
Arbor Research Collaborative for Health has been awarded a new contract to develop and operate a secure, scalable, and innovative data registry system in support of Michigan’s Obstetrics Initiative (OBI). The initiative, one of several state-wide Collaborative Quality Initiatives (CQI), aims to improve maternal and neonatal outcomes across the state through advanced data-driven insights and
Request for Information: Arbor Research is soliciting information from qualified companies to participate in the PAn-european Registry Addressing Difelikefalin In Goal-oriented Medical treatment for dialysis-related pruritus (PARADIGM) study as the regulatory partner for Ethics Committee submission and coordination in the United Kingdom. Review details here: PARADIGM RFI UK
Arbor Research is pleased to announce the appointment of Fred Miller as its new Health IT Program Director. In this pivotal role, Mr. Miller will lead the strategic growth and delivery of our newly launched Health IT practice, positioning Arbor Research to meet the evolving digital health needs of federal agencies and industry partners alike.