Screening miss pressure
High-risk cohorts have long follow-up intervals; suspicious signals rarely enter a unified priority queue.
"Our biggest problem was that high-risk cases were often assembled the night before consultation."
Tumor board preparation time reduced by ~35%; high-risk cases reach specialist review sooner.
C-02-02
Summit Oncology is a regional Oncology Center covering screening, staging discussions, and post-treatment follow-up. Outpatient and screening volume grows year over year, tumor board frequency is high, and the center needs to surface high-risk cases sooner and prepare consultations faster.
The center runs stable EHR / PACS environments, emphasizes on-premises deployment and auditable conclusions, and will not adopt AI through a rip-and-replace approach.
C-02-03
High-risk cohorts have long follow-up intervals; suspicious signals rarely enter a unified priority queue.
"Our biggest problem was that high-risk cases were often assembled the night before consultation."
Imaging, pathology, and omics conclusions are scattered; tumor board preparation is time-consuming.
Black-box scores cannot support QC, teaching, or external audit.
System replacement cost is high; sidecar integration and on-premises data are required.
C-02-04
Stratification results include feature contribution and audit trails for QC and compliance review.
DICOM / FHIR integration—physicians sign off in familiar workflows.
On-premises inference and permission isolation meet Oncology Center data sovereignty requirements.
C-02-05
From data checklist to tumor board preparation queue—on-premises pilot completed in ~8 weeks.
Define screening / follow-up queues, success metrics, and interface inventory.
Data center deployment, PACS sidecar integration, permissions and audit controls.
Parallel comparison with manual stratification; calibrate thresholds and override rules.
High-risk cases automatically enter the tumor board preparation queue; QC spot checks begin.
C-02-06
Typical pilot results (varies by data quality and workflow maturity).
| Metric | Pre-pilot | Post-pilot | Change |
|---|---|---|---|
| Tumor board preparation time index | 100 | 65 | −35% |
| High-risk specialist review timeliness | Baseline | Earlier | +28% |
| QC-auditable case ratio | 40% | 90%+ | Significant improvement |
Note: reductions come mainly from data gathering and summary preparation.
C-02-07
"Neurovia did not make us replace systems, yet high-risk cases are surfaced sooner. Last-minute case assembly before consultation is far less common, and QC finally has an audit trail."Elena Vargas · Medical Director, Summit Oncology
Receive a data checklist, success metrics, and 30-day pilot path.