How 3DSurG Improves Precision in Complex Surgeries

Step-by-Step Guide to Integrating 3DSurG into Your OR Workflow

Identify stakeholders: surgeons, anesthesiologists, OR nurses, biomedical engineers, IT, procurement.
Define goals: reduce OR time, improve planning accuracy, train staff, validate outcomes.
Assign roles: clinical lead, IT lead, training lead, data steward.

Hardware: specify required workstations, monitors, VR/AR headsets (if used), networking gear.
Software: confirm OS compatibility, 3DSurG version, DICOM import/export tools, PACS integration.
Network/security: ensure secure LAN/VPN, firewall rules, and encrypted data transfer.
Storage: allocate NAS or PACS space for models and backups.

DICOM ingestion: set a standardized process for image acquisition (CT/MRI protocols) and transfer to 3DSurG.
Segmentation & modeling: assign trained staff to produce/verify 3D models; establish QA checklist (anatomical landmarks, slice thickness, artifact check).
PACS/EHR linkage: map patient identifiers and ensure anonymization where required for processing.
Version control: implement naming conventions and versioning for models and plans.

Case selection criteria: define which procedures use 3DSurG routinely vs. selectively (e.g., complex reconstructions, tumors, congenital anomalies).
Pre-op planning timeline: standardize how many days before surgery models should be ready (e.g., 48–72 hours).
Checklist integration: add 3DSurG model review to pre-op briefings and time-outs.

Training plan: mix of vendor-led sessions, hands-on workshops, and simulation cases.
Competency assessment: create short practical exams (e.g., mark key landmarks on a model, simulate incision/osteotomy).
Superuser network: train 2–3 superusers per specialty to support peers and troubleshoot.

Dry runs: rehearse with full OR team using models; run through setup, display, and handoffs.
Intraoperative use: define how models are presented (on console, tablet, AR headset), who controls them, and how they are referenced during key steps.
Sterile handling: establish protocols for devices entering sterile field (e.g., sterile drape for tablets).

Informed consent updates: include use of 3D models in patient consent when relevant.
Records: save screenshots, annotated plans, and final model versions in the patient record or linked storage.

KPIs: OR time, blood loss, margin status, complication rate, revision surgeries, user satisfaction.
Audit schedule: monthly reviews for first 6 months, then quarterly.
Feedback loop: collect team feedback after cases and iterate protocols.

Software updates: schedule validation testing after major updates before clinical use.
Hardware checks: periodic checks for displays, input devices, and network performance.
Vendor support: set SLAs for issue resolution and designate contact pathways.

Phased rollout: start with one specialty or high-impact case type, then expand.
Research integration: enable case capture for IRB-approved studies to quantify benefits.
Cost–benefit review: annually assess financial and clinical impact to justify expansion.