Unlock the practical side of decision support in the public sector.
This accessible study examines how a model‑based DSS was designed, implemented, and used by the Franklin County Mental Health and Retardation Board to link goals, allocations, and outcomes. It blends real‑world challenges with core DSS concepts, showing how prototyping, modular design, and data integration shape effective public policy tools.
Readers will see how a three‑part system—model management, data management, and information delivery—works together to support learning, consensus building, and transparent budgeting. The narrative highlights the balance between analytical modeling and user interaction, plus the importance of equity, data quality, and cross‑department collaboration in a large public agency.
Ideal for readers of public administration, information systems, and operations research who want concrete lessons from a real‑world DSS project.
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