Clinical Decision Support

Clinicians use patient records, guidelines, and images to support diagnosis and treatment decisions at the point of care.

Business impact

• Clinical-to-administrative time ratio — Catholic Caritas Foundation of Nigeria reported a 67% improvement in favor of patient-facing time.

Data requirements

• Electronic medical record text (text) — Used to identify disease stage and relevant clinical details.
• Structured patient intake data (tabular) — Used for guideline-based support and clinical documentation.
• Clinical images (image) — Used to help clinicians consider a condition in the differential diagnosis.
• Guideline content (text) — Used as the reference for clinical recommendations.

AI methods and techniques

• Guideline-based decision support — Rules and clinical guidance are used to recommend next steps.
• Machine learning — Models identify patterns in records or images to support diagnosis.
• Natural language processing — Clinical text is analyzed to extract relevant findings from records.
• Image analysis — Lesion images are searched or assessed to support differential diagnosis.

Industries

Real-world evidence

6 documented case studies on record.

Companies using this: Catholic Caritas Foundation of Nigeria, Sunnybrook Health Sciences Centre, NASA, Mayo Clinic, VisualDx, Biogen.