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    Case Study

    Hospital Wing Renovation: Scan to BIM Inside an Active Healthcare Facility

    ZEALOT Reality CaptureJune 15, 20268 min read

    Renovating an active hospital wing asks for two things: precision and invisibility. You have to capture the built reality—every doorway, device rail, soffit, and soffit return—without interrupting patient care or tripping infection-control protocols. Here’s how our team scanned a 38,400 sq ft medical-surgical wing outside Columbus and delivered a federated Revit model that design and construction teams could trust.

    Project snapshot

    • Facility: 38,400 sq ft med-surg wing, two nurse stations, 48 patient rooms, four procedure rooms, supply/med rooms, staff support, and mechanical/electrical closets
    • Occupancy: Active, 24/7 operations
    • Capture window: Two overnights (9:00 p.m.–5:00 a.m.) plus a 2-hour daytime MEP session
    • Tech stack: NavVis VLX3 (mobile LiDAR, SLAM), Leica RTC360 (terrestrial), control targets (checkerboards + QR), Autodesk Recap Pro, Revit 2024
    • Accuracy: ±6 mm registered to hospital grid; density 5–8 mm point spacing at 10 m
    • Raw data: ~260 GB (VLX3 + RTC360); delivered point clouds: 118 GB (E57) and 94 GB (RCP)
    • Deliverables: Federated Revit model (LOD 300 Arch, LOD 200–300 MEPF majors), 2D floor plans and RCPs, keyed above-ceiling snapshots
    • Turnaround: 8 business days from last scan to final Revit + 2D set
    • Outcome: 23 RFIs avoided, $147,000 estimated change-order risk removed, design start moved up by 10 days
    “They were in and out before my 5 a.m. med pass, and my staff didn’t have to reroute a single patient.” — Nurse Manager, night shift

    What mattered most to facilities and infection control

    We started with an ICRA meeting two weeks before mobilization. No surprises. No improvisation at 1:00 a.m.

    • ICRA/ILSM alignment: Class II precautions for our scope; we committed to no dust-generating activities, no ceiling cuts, and pre-approved tile lifts (select locations only) with immediate reseating.
    • Privacy: LiDAR measures depth, not faces, but we still posted “No photography. 3D measurement only.” signs. Patient room doors stayed shut unless cleared by the charge nurse.
    • Noise: VLX3 fans are quiet; RTC360 beeps were set to silent. No strobes, no trip hazards.
    • PPE: N95s, eye protection, bouffant caps, disposable shoe covers, equipment wiped down with hospital-approved disinfectant before room entry and on exit.
    • Escorts and access: One facilities escort with master keys, one EVS lead on call. We followed a room-by-room list prioritized by their census.
    • Power and staging: Battery swaps staged at the staff lounge to avoid corridor clutter. No chargers in patient corridors.

    If your team hasn’t run a hospital scan before, read our step-by-step prep guide: How to Prepare Your Site for a 3D Laser Scan.

    Capture strategy: quiet, fast, repeatable

    We used the NavVis VLX3 for its speed and SLAM resilience in tight corridors. The Leica RTC360 came out for surgical suites, med gas manifolds, and above-ceiling snapshots where we wanted denser geometry and cleaner edges.

    • Route planning: We “loop-closed” every 20–30 meters—down one corridor, back the next—to keep SLAM drift near zero. Intersections were revisited at least twice per loop.
    • Targets and control: 24 checkerboards plus eight QR-coded NavVis targets placed along the main spine and branches. RTC360 stations captured spheres/checkerboards in the same network. We tied the scan to the hospital’s published grid using known offsets at two structural lines and a verified elevation benchmark at the nurse station slab.
    • Reflective surfaces: OR suites were heavy on stainless and glazing. We slowed VLX passes to 0.6–0.8 m/s and supplemented with 12 RTC360 setups to tighten edges on casework, booms, and lights without dusting (no scanning spray allowed).
    • Above-ceiling: Spot captures only. Facilities pre-cleared 14 tiles (2x2) across five zones. We lifted, RTC360 scanned 1–2 minutes per position, reseated tiles, and wiped the grid. These snapshots anchored our RCP modeling of mains vs. laterals without opening every room.
    • Throughput: Night 1 (north wing): 19,100 sq ft in 7.5 hours, 1,320 m walked, three operators. Night 2 (south wing): 17,900 sq ft in 7 hours, 1,190 m walked. Day session: 2 hours across MEP rooms and shafts.

    If you’re weighing mobile vs. tripod for similar work, this side-by-side reflects what we see in active healthcare:

    FactorMobile LiDAR (NavVis VLX3)Terrestrial (Leica RTC360/FARO)
    Speed in occupied corridors12,000–18,000 sq ft/hr1,200–2,500 sq ft/hr
    Typical registered accuracy±6–8 mm±3–6 mm
    Best useCorridors, patient rooms, general interiorsORs, above-ceiling snapshots, dense equipment rooms
    Impact to operationsMinimal, walking paceMore setup time, tripod footprint
    Data volume per 10k sq ft~20–30 GB~10–15 GB
    Staff requirement2–3 operators optimal1–2 operators

    We don’t pick one method and force it everywhere. We pair them so you get schedule and accuracy.

    For a deeper look at the NavVis unit in buildings, here’s our inside tour: Inside the NavVis VLX3: How Mobile LiDAR Captures Buildings at Walking Pace.

    Registration: target-based where it counts, cloud-to-cloud everywhere else

    • Primary alignment: Cloud-to-cloud in NavVis IVION and Recap, constrained by our loop closures.
    • Target weighting: Corridors and junctions weighted to targets to pin long runs; OR suites anchored to RTC360 targets.
    • QA/QC: 36 spot checks using a calibrated disto and steel tape. Max deviation 7 mm at a 31 ft diagonal; mean absolute error 4.2 mm across checks.
    • Deliverable grids and levels: Revit levels set to verified slab and ceiling planes. Structural grids matched GC’s CAD backgrounds to within ±3 mm.

    Point cloud housekeeping matters. We de-noised people movement, occluded privacy-sensitive zones, and segmented by discipline (Arch, Mech/Elec, MedGas, Sprinkler) to keep file sizes workable. If formats are a question inside your team, this primer helps: Point Cloud File Formats Explained: E57, RCP, LAS, and PTS.

    The federated Revit deliverable

    We delivered a single federated model with linked discipline views and a set of clean 2D drawings for fast takeoffs.

    • Scope and LOD:
    • Architecture: LOD 300—walls by type and thickness, doors/frames, glazing, casework, nurse stations, millwork, soffits, floor/ceiling elevations.
    • Ceilings: LOD 300 for grid, tiles, and major devices; device families placed to measured centers.
    • MEPF majors: LOD 200–300—mains and laterals above ceiling (where visible), VAVs, terminal boxes, diffusers, return grilles, fire sprinklers, med gas outlets and headwalls, main conduits/trays, panelboards, and equipment tags where readable.
    • Standards: Revit 2024, shared parameters for device tags, worksets per discipline, view templates for coordination.
    • Sheets: Plan, RCP, key sections, and typical room sections aligned with user groups. We also produced CAD plans for life-safety discussions: Scan to CAD (2D AutoCAD drawings) and 2D/3D Floor Plans.
    • Extracts: E57 (118 GB) and RCP (94 GB) with clipped regions for faster load. Each nurse station delivered as a standalone RCP.
    • Turnaround: 8 business days from last scan to Revit+2D package. Earlier if you skip full MEP family placement and stick to geometry-only.

    If you’re scoping a model now, match the detail to the decisions you need to make. This breakdown helps: LOD 200 vs LOD 300 vs LOD 400: Choosing the Right Revit Model from Your Scan. And if you want our standard spec, we published it: Scope of Work Template for Scan to BIM Projects.

    Outcome: fewer unknowns, a cleaner bid, and a faster start

    The GC seeded preconstruction with quantities pulled directly from the point cloud and RCP—diffuser counts, door schedules, millwork lengths, and device densities per patient room. We also tagged plenum constraints that would have been missed without the above-ceiling snapshots.

    • RFIs avoided: 23 (door swing conflicts, headwall device clearances, soffit heights near imaging equipment)
    • Estimated risk removed: $147,000 in change-order exposure, based on historical costs for rework around headwalls, diffusers, and misaligned millwork
    • Schedule: Design coordination started 10 days earlier; two planned field-verification visits were canceled
    • Payback: Scan+model fee was 4.7% of the renovation soft costs and returned 6–7x in avoided rework and schedule gains

    For estimating workflows tied to scans, see: Preconstruction Estimating with Point Cloud Data. For a similar healthcare push, we cover it here: How Architects Use 3D Scanning to Eliminate Field Visits.

    Practical guidance for hospital projects

    A few lessons we keep relearning in Ohio hospitals—Columbus to Cleveland and down to Cincinnati:

    • Book the ICRA meeting early. We need signoff on tile lifts, PPE, and staging locations before we step onsite.
    • Build a door list with facilities. You’ll save an hour of walking if you know which rooms are empty 9 p.m.–midnight.
    • Coordinate with EVS. They’ll tell you where not to stage gear and when floors are being auto-scrubbed.
    • Mind plenum height changes. Step down ceilings at corridor offsets can introduce SLAM errors if you don’t loop close. We plan closures at those transitions.
    • Don’t over-model. If you’re replacing ceilings but not ductwork, model mains and box locations at LOD 200 and move on. Push precision where you’re cutting or tying in.
    • Give designers clipped clouds. No one wants to load 100+ GB. We deliver room-level RCPs and corridor tiles for speed.

    Want an apples-to-apples on scanning in hospitals vs. big-box spaces? We wrote this for large buildings: Why Mobile LiDAR Beats Traditional Surveying for Large Buildings. The logic holds, with the added hospital wrinkles described above.

    Where scan-to-BIM fits in your renovation stack

    We rarely stop at raw point clouds. Most hospital teams need models they can annotate immediately inside Revit or AutoCAD.

    If you’re converting point clouds into construction-ready 2D, this workflow breaks it down: Scan to CAD: Converting Point Clouds into Accurate 2D Drawings. And for architects refining plan sets from clouds, here’s a practical sequence: From Point Cloud to Floor Plan: A Step-by-Step Workflow for Architects.

    A quick note on privacy and data handling

    We do not store video or photography from patient areas, and we redact or clip any incidental PII from whiteboards or signage. Access to project data is restricted to your named team. Deliverables travel over your chosen channel—encrypted if requested—with retention policies defined in the contract.

    Common questions we get from healthcare teams

    • Will the scan disrupt patient care? No. The VLX3 operates at walking pace and low noise. Our routes prioritize empty rooms, and we skip occupied rooms unless the charge nurse clears us.
    • How accurate is it in tight rooms? We see ±6 mm registered across patient rooms and corridors with SLAM loop-closures and target weighting. ORs scanned terrestrially often tighten to ±4 mm in dense areas.
    • Can you capture above-ceiling? Yes, selectively. We won’t open every tile; we capture representative zones to map main routes and device clusters.
    • How big are the files? Expect 2–4 GB per 1,000 sq ft for raw mobile LiDAR in hospitals; our delivered E57/RCP sets for a 38k sq ft wing came in under 120 GB by smart clipping and segmentation.
    • How fast can you turn models? Typical is 5–10 business days for LOD 300 architectural shells with LOD 200 MEP majors for 30–50k sq ft. Complex OR suites add time.

    Why this worked

    Three things carried the day:

    1) An agreed deliverable. We locked the LOD, views, and sheets before scanning. That kept modeling focused.

    2) A hybrid capture plan. Mobile LiDAR for speed, terrestrial for the sensitive rooms and above-ceiling anchors.

    3) Infection-control discipline. We followed the ICRA plan the same way we’d follow a life-safety plan. No corners cut.

    For more healthcare and renovation studies, browse our portfolio, or if you’re working at the intersection of existing buildings and new programs, our pages for construction and architecture go deeper on scope options.

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