RAI SOLUTIONS / DIAGNOSTICS
Give pathology teams a coherent view of the slide, the case and the clinical context. RAI brings whole slide imaging and carefully evaluated AI into a workflow led by the pathologist.
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THE DIGITAL WORKBENCH
Support the people and systems involved in diagnosis with clear case context and traceable review.
01 / ACQUISITION
Connect scanners and image storage to ingest, index and display digitized slides with case identifiers, stain, magnification and provenance. Make scan quality checks and rescans visible before diagnostic review.
Scanner connectivity · Slide metadata · Image quality review · Secure storage
02 / REVIEW
Navigate large slides, compare stains and prior specimens, annotate regions and organize work by case. Keep relevant request details and clinical history within reach during review.
Case worklists · Multi-slide comparison · Annotations · Prior cases
03 / COLLABORATION
Share selected cases with authorized colleagues for second opinion, multidisciplinary review or education. Record who reviewed what, their comments and the resulting case decision.
Second opinions · Tumor boards · Controlled sharing · Audit history
04 / ASSISTANCE
Present validated AI findings as reviewable overlays, region suggestions or measurements with model version, confidence and source slide. The pathologist can accept, correct or reject each result; AI does not issue an autonomous diagnosis.
Region prioritization · Quantification · Reviewable overlays · Human sign-out
05 / INTEGRATION
Link slide images, specimens and approved findings to the laboratory information system and clinical record. Use appropriate interoperability standards and local mapping, with role-based access and a complete audit trail.
LIS / LIMS · EHR / HIS · DICOM WSI where supported · FHIR / HL7 interfaces
06 / OPERATIONS
Monitor scan quality, turnaround and AI performance in the actual laboratory population. Establish local validation, change control and escalation before any clinical deployment.
Local validation · Drift monitoring · Quality assurance · Traceability
RESPONSIBLE IMPLEMENTATION
Diagnostic use depends on the scanner, viewer, image quality, intended purpose and local workflow. Evaluate each combination for its intended use and regulatory setting before adoption. Keep the original image and human review available at every consequential step.
Specify specimen types, stains, users and the decision the system supports.
Measure performance across scanners, sites and relevant patient groups.
Track errors, corrections, model changes and outcomes over time.
FURTHER READING