Oncora Medical

Ingest the proposed radiation treatment plan (DICOM-RT).

Run predictive model against the patient's anatomical features.

System flags a high risk for grade 3 dysphagia.

Physician adjusts the dose constraints based on Oncora suggestions.

Patient receives a modified plan with lower toxicity risk.

Oncora monitors the EMR for specific clinical milestones.

Relevant data points (e.g., pain assessment) are extracted via NLP.

The system populates the quality dashboard.

Administrator reviews and submits the generated report to CMS.

Sync clinical trial criteria with the Oncora database.

Automated daily scan of new patient intakes.

System alerts the research coordinator of a potential match.

Coordinator reviews the patient's digital chart in Oncora for verification.

Deploy Oncora collectors at each site.

Normalize data into a central repository.

Apply standardized outcome definitions.

Generate cross-facility performance benchmarks.

Monitor patient-reported outcomes (PROs) and vitals.

AI identifies patterns of decline in specific cohorts.

Alerts clinical team to intervene with supportive care.

Reduces emergency department visits.

Analyze historical outcomes for similar tumor morphologies.

Oncora provides a probability curve for local control vs. toxicity.

Physician selects the optimal dose based on data-driven trade-offs.

Aggregate real-world outcome data for patients treated with Proton vs. X-ray.

Visualize the reduction in toxicities using Oncora Analytics.

Present the data to payers to negotiate better reimbursement rates.