SKCoreHealth Technologies
From imaging order to signed report — AI-assisted radiology workflow at full speed.
Full radiology workflow — imaging order management, DICOM viewer, AI-assisted anomaly detection, report TAT tracking, and FHIR ImagingStudy export — fully connected to the clinical record.
Radiology order receipt from COMS and EMR. Modality routing (CT, MRI, PET, X-Ray, US). Priority queueing with STAT and routine workstreams.
Zero-footprint HTML5 DICOM viewer with MPR, 3D rendering, and measurement tools. Hanging protocol management. Prior study comparison.
AI-assisted flagging for lung nodules, masses, and lesion characterisation. Nodule size tracking across studies. Radiologist confirms all flags.
Subspecialty templates — chest CT, brain MRI, MSK, abdomen, oncology staging, PET-CT RECIST/PERCIST response. Voice-to-text dictation integration.
Report turnaround tracking per modality and priority. SLA breach alerts. Bottleneck identification dashboard. Workload analytics.
FHIR R4 ImagingStudy and DiagnosticReport for EMR and system integration. WADO-RS endpoint for third-party viewer access.
Bidirectional PACS connection via DICOM C-STORE, C-FIND, and C-MOVE. Study routing to subspecialty reading stations.
Modality utilisation, turnaround trends, abnormality rate by body region, and AI flag acceptance rate.
AI in RIS is a second-reader assistant — flagging potential anomalies for radiologist review to reduce miss rates and accelerate workflow.
Book a personalised demo tailored to your clinical workflow and hospital requirements.