Approach
We framed healthcare layout as generate → evaluate → iterate in one scripted environment, instead of manual redraw loops in CAD.
Input a footprint and constraint package - department boundaries, adjacency rules, standards selection, and client-specific criteria. Generate candidate layouts rapidly using rule-driven placement and corridor logic. Score each option against planning KPIs - bed counts, exam/consult room yields, circulation proxies, and compliance with the active standards set. Compare schemes side by side when stakeholders need evidence for capacity and feasibility trade-offs.
Regional and client variation is handled by parameterizing the standards package, not by rebuilding the tool per project.
Solution
Clinical layout generation - Automated layout synthesis for ICU floors, OPD/consult clusters, and related clinical planning scenarios, encoding healthcare-specific spatial and operational constraints alongside regional standards and client protocols.
Optimization-style exploration - Users can pursue maximize-capacity studies (beds, rooms, throughput proxies) subject to feasibility rules - clearances, adjacencies, infection-control logic, and code-driven minimums - so "more beds" is never divorced from "still buildable and compliant."
Integrated KPI analysis - Generation and measurement stay in Grasshopper: teams see bed yield, room counts, circulation efficiency, and standards compliance in the same workflow used to produce the layout.
Early-phase optioneering - Built for schematic and early design when many directions must be tested quickly - compressing iteration time on complex health projects without sacrificing rule transparency.