Turn Radiology Results into Actionable Care and Complete Documentation
Billing-Optimized Output for Notable Imaging Services by Uplifting the Smart Imagery Framing and Truthing (SIFT) System BONUS
Bridging the Gaps in Modern Radiology
Missing Visual Data
20%–60% of reports lack critical radiological images or lesion markings (location, size, etc.).
Unreported Comorbidities
73% of incidental comorbidity findings go unreported.
Omitted Details
Nearly 29.3% of reports omit sub-classes of primary conditions.
Communication Barriers
Challenges in communication between requesting physicians and radiologists often lead to clinical friction.
Underutilized
Reports are unstructured and images remain unannotated, severely limiting their usability at the point of care
Missed Follow-ups
20-40% of findings lack follow-up, leading to missed clinical opportunities
Unstructured Data
Reports are unstructured & images un-annotated, limiting usability.
PCP Burnout
Primary Care Physicians spend 30-50% of their time on administrative tasks, driving massive inefficiency.
Introducing BONUS:
Billing-Optimized Output
The BONUS system processes the output of the SIFT (Smart Imagery Framing and Truthing) system-an automatic, multi-lesion fine-grained annotation post-processor.
Comprehensive Annotation
Automatically annotates 47 different findings on chest CT and 68 on chest X-ray.
Validated Technology
SIFT-annotated data has been utilized by MIDRC, ACR, and NIH for several years following rigorous evaluation.
Efficiency at Scale
Using SIFT increases physician annotation efficiency by 53% to 791% while maintaining total accuracy.
Workflow Transformation
Before BONUS
- Radiology report reviewed passively
- Findings not structured or tracked
- Limited linkage to care plan
- Documentation insufficient for higher MDM
- Missed follow-ups and coding opportunities
With BONUS
- Image + report converted into structured evidence
- Abnormalities mapped to anatomy & severity
- Auto-generated documentation elements
- Suggested ICD-10 and CPT-aligned actions
- Supports MDM complexity and audit-ready docs
What the Provider Receives
Annotated Image Views
Structured Findings Summaries
Provider Verification and Discrepancy Review
Follow-up Recommendations and Task Tracking
Documentation Prompts
Potential ICD-10-CM Diagnoses and Eligible Service Opportunities for Review
Seamless Integration. No Workflow Disruption.
Original Diagnosis
The radiological department performs the diagnosis and generates the standard report.
SIFT Analysis
The system analyzes the report to generate precise markings for primary diseases, potential comorbidities, subclasses, and multiple locations.
Medical Mapping
SIFT output is mapped directly into billable CPT codes.
Secure Processing
All original data, billing info, and transactions remain inside the hospital's secured system.
Maximizing Revenue through Accurate Coding
Accurate Coding
Identifies additional CPT codes for comorbidities and subclasses, leading to higher income for radiological services.
IPC Support
Enables Interprofessional Collaboration (IPC) billing. Both the requesting physician and radiologist can bill $39 per consultation using CPT code 99451.
Enhanced Reporting
Automatically generates report addendums and detailed markings (location, size, lesions).
PPC Optimization
Improves Provider-Payer Collaboration (PPC) through transparent, data-backed evidence.
Transformative Impact & ROI
$75K-$250K+
Revenue Uplift / Provider
>95%
Output Completeness
+25-40%
Doc Quality Score
+20-40%
Chronic Care Capture
Report-image concordance improvement
Additional documented comorbidities
Improved capture of clinically supported complexity
Imaging-driven care plan adjustments
CPT opportunity identification
Capability Matrix
| Capability Layer | CodaMetrix | Nym | 3M | Athena | BONUS |
|---|---|---|---|---|---|
| Automatic ICD/CPT | Strong | Strong | Semi-auto | Basic | Indirect |
| NLP on provider notes | |||||
| CAC (Computer-Assisted Coding) | |||||
| CDI prompts | Strong | Strong | |||
| HCC / DRG | Strong | ||||
| Imaging understanding | Core | ||||
| Radiology → structured ICD | |||||
| Imaging → CPT triggers | |||||
| MDM uplift logic | |||||
| Follow-up encounter design | |||||
| Documentation checklist | |||||
| Revenue delta modeling | |||||
| Denial-prevention strategy | |||||
| Athena billing back-tracking |
The SIFT Neural Network
Feature Extraction
Leveraging Residual Layers (Res2–Res5) for high-resolution feature output.
Region Proposal (RPN)
AI-predicted ROI (Region of Interest) boxes and masks.
Data Fusion Center
Fuses abnormality scores into an Optimal-Recommendation Network for final classification.
