IBM Watson Health

Data Ingestion: Collect and integrate data from claims, pharmacy, and other sources.

Model Training: Train machine learning models to predict high-cost claimants.

Risk Scoring: Assign risk scores to individuals based on their likelihood of high costs.

Intervention: Implement targeted interventions to manage costs and improve outcomes.

Image Acquisition: Acquire medical images from various modalities.

Image Storage: Store images in a vendor-neutral archive (VNA).

Workflow Orchestration: Streamline the imaging workflow from acquisition to interpretation.

Reporting: Generate reports and share images with referring physicians.

Study Build: Quickly build clinical studies using a cloud-based platform.

Data Capture: Capture clinical data from various sources.

Data Management: Manage and clean clinical data.

Analysis: Analyze clinical data to identify trends and insights.

Eligibility Determination: Determine eligibility for social service programs.

Case Management: Manage cases and track outcomes.

Benefits Delivery: Deliver benefits to eligible individuals.

Reporting: Generate reports on program performance.

Access Drug Information: Access comprehensive drug information, including interactions and adverse effects.

Review Disease Management Protocols: Review evidence-based protocols for managing various diseases.

Assess Toxicology Information: Assess the risks associated with various toxins and chemicals.

Consult Clinical Guidelines: Consult clinical guidelines and best practices.