Helps U.S. healthcare practices and service planners evaluate an expansion or a new operation. Connects reachable demand and referral access to staffing, travel or room capacity, payment assumptions, incremental costs, and first-year cash flow. Produces a sourced assumption register, feasibility scenarios, a decision brief, and a pilot plan. Includes a synthetic mobile wound-care example and a local calculation script when the host supports Python. Guides users to official physician fee-schedule resources; it does not bundle CPT content, provide a coding database, or guarantee live lookup access. Use aggregate or synthetic information only. It does not process patient records, recommend patient treatment, determine billing eligibility, guarantee profitability, or replace professional review. No MCP server, Arclight account connection, analytics, or transmission of conversations to Arclight is included.
Install
- 1Add it in ChatGPT
Open Plugins in the ChatGPT sidebar (web or desktop), search for “Arclight Feasibility Planner” and select +. You'll be asked to sign in to any connected service on first use. Then type @ in a chat to call it.
Skills 6
- Assess healthcare demand
Assess local demand and referral access
- Define a healthcare service
Scope a healthcare expansion or startup
- Design healthcare operations
Plan staffing, capacity, routes, and costs
- Model healthcare finances
Calculate service economics and cash needs
- Plan healthcare payment
Build sourced payment and collection assumptions
- Plan a healthcare pilot
Turn feasibility findings into a pilot decision
Things to ask
- “Assess adding mobile wound care to our practice using aggregate data, route capacity, and incremental costs.”
- “Help me use official fee-schedule sources to build payment assumptions for a proposed healthcare service.”
- “Compare service-expansion scenarios and show break-even conditions, cash needs, and what to validate first.”