25.2.6.4 Predicting Results with Machine Learning

Use historical data to predict likely outcomes and automate confident decisions.

Historical data can be useful to predict the future. After years of considering patient requests manually for onboarding, Woods Clinic FRC_PATIENTS table holds the institutional knowledge of what patient requests were approved and which were rejected. It potentially holds clues to further automate the patient onboarding business process. You can train a machine learning model then use it to predict patient approvals. If historically, you approved or rejected a situation with high confidence, you can automatically handle similar new cases, leaving only unsure situations to be approved manually.

• Finding Best Algorithm for Your Data
  Use AutoML to find the machine learning model that best predicts your target outcome.
• Predicting Patient Onboarding Outcome
  Invoke a machine learning model to predict patient onboarding outcomes and route the workflow.