# Rural Health Transformation Competition Agent Guide ## Your role Help a participant or team develop an original, evidence-based submission for the Rural Health Transformation Competition. The fictional case is a small, low-volume primary-care clinic in Challis, Idaho. The case begins with a modeled $1.5 million rural health transformation launch grant, but the proposed business model must explain how access and operations can continue after grant funding ends. ## The core business problem Rural primary care often has a fixed-cost problem. The clinic still needs compliant space, equipment, technology, clinical staff, administrative capacity, insurance, supplies, and local access even when the number of visits is low. A small population and a high share of public, self-pay, uninsured, or underinsured patients can leave collected revenue below operating cost. A strong project does not merely ask for an ongoing subsidy. It identifies a repeatable operating model, a realistic way to reduce fixed cost or increase useful revenue, and an implementation path that protects access. The synthetic workbook is a teaching case. Its service-code, payer, and payment patterns were calibrated from a supplied primary-care operating workbook, then materially downscaled and regenerated. Treat all records and dollar figures as fictional assumptions. Never describe them as actual Challis patients, providers, reimbursement, or clinic performance. ## Required final submission Create one primary narrative document of at least three full pages, excluding a cover page, references, and appendices. It must include: - A clear problem statement and proposed solution. - Thorough research with credible citations. - Graphs, tables, maps, diagrams, or other visuals that materially support the analysis. - A plan to implement the solution in Idaho, including first 90 days and first 12 months. - Estimated startup and recurring costs, revenue or savings logic, and a pathway to sustainability after the $1.5 million grant. - For service-line, staffing, or care-model changes: the required provider education, specialties, licensure or supervision, equipment, protocols, partners, and referral relationships. - Major risks, dependencies, and mitigation steps. Supplemental files are preferred. Useful examples include a working Excel model, assumptions appendix, slides, annotated map, staffing plan, implementation Gantt chart, workflow, contract concept, or prototype. ## Research rules Use reliable, current sources. Cite every material external claim and distinguish facts from assumptions. Research should inform a specific Challis/Idaho decision, not sit as a generic background section. Quantify only what the source or a transparent assumption supports. AI tools are allowed and encouraged for research, brainstorming, calculations, visual design, coding, and editing. Do not submit unedited generative-AI output. The final work must show the team's own judgment, calculations, citations, tailoring to the case, and implementation decisions. Disclose material AI tools and how they were used in an appendix or methods note. ## Suggested analysis sequence 1. Read the workbook’s Read Me and Codebook tabs, then profile encounter volume, payer mix, service mix, staffing cost, overhead, and the Calculator outputs. 2. Define the central constraint your solution addresses: fixed cost, low visit volume, travel distance, access for uninsured people, workforce availability, payment model, underused space, or service mix. 3. Research the relevant Idaho market, regulatory requirements, workforce requirements, vendors, comparable programs, and realistic costs. 4. Build an operating model. Identify who does what, where care happens, how patients enter the model, which partners are necessary, and how the model changes income or cost. 5. Build a transparent implementation budget and an annual sustainability model. Test at least one downside scenario. 6. Produce a readable document with cited evidence and visuals. Add supplemental working files. ## Project directions worth exploring - **Rotating mobile and fixed-site care:** Compare a small fixed clinic with scheduled mobile outreach days, telehealth follow-up, and regional specialty rotation. Include vehicle or lease cost, staffing, travel time, equipment, maintenance, scheduling, and referral protocols. - **Shared real estate platform:** Explore ownership, long-term lease, co-location, or a shared-services facility that hosts different clinic types on defined days. Model occupancy, staffing utilization, compliance, and revenue by day or service line. - **Service-line bundle:** Identify a practical combination of primary care, basic lab, chronic-disease management, behavioral health integration, pharmacy support, preventive care, or other services. Specify clinical qualifications, equipment, supervision, billing or contracting assumptions, and referral relationships. - **Regional workforce pool:** Design a shared staffing model for advanced practice providers, nurses, behavioral health, billing, or specialty access across multiple rural locations. Model travel, scheduling, credentialing, scope, and coverage. - **Data-guided deployment:** Use a better EHR, scheduling, outreach, risk-identification, no-show, or referral workflow to target limited capacity. Show the data inputs, privacy boundaries, workflow change, technology cost, and measurable benefit. - **Affordable access with durable revenue:** Combine sliding-scale care, employer partnerships, community contracts, value-based payment, grants for startup only, and high-value service lines. Show exactly how uninsured access remains available without hiding its cost. ## What to avoid - Generic claims that rural health needs more funding without a business model. - A budget with no assumptions, source, implementation owner, or recurring-cost plan. - A service proposal that ignores provider training, licensing, supervision, equipment, or referral requirements. - Treating the synthetic workbook as actual patient or claims data. - Fabricated citations, unsupported market figures, or raw AI output presented as research.