Transforming Healthcare with AI

Providers

AI enables healthcare systems, providers, and administrators to make better decisions that enhance healthcare delivery, improve patient safety, and positively impact the healthcare experience. From the front lines of patient care and operations to revenue cycle and logistics, there are hundreds of opportunities for providers to implement Value-Driven AI, using both predictive and generative AI.

• Clinical Applications

  Rapidly develop AI models with your data to support your patient population

  Use Cases:

  • Hospitalization / Readmission Propensity
  • Patient Risk Stratification/ Undiagnosed Conditions

• Operations

  Forecast demand to optimize staffing, scheduling, and manage throughput

  Use Cases:

  • ER Patient Volume Forecasting
  • Length of Stay Prediction
  • Readmission Prediction
  • Surgical Volume Forecasting
  • Patient No-Show Prediction
  • Demand Forecasting / Late Shipments / Price Elasticity for Inventory Optimization
  • Nurse Attrition

• Revenue Cycle Management

  Use predictive analytics to improve forecasted cash flow, reduce errors and accelerate payments

  Use Cases:

  • Denied claims prediction, triaging, and correction
  • Understand denial behavior by payer – and implement solutions from model insights

• AI Governance and Regulation

  Implement complete transparency, governance, and auditability on all of your models, including those built outside of DataRobot

  Use Cases:

  • Bias and Fairness testing, mitigation and monitoring
  • Automated model compliance reporting and deployment reporting
  • Model transparency for clinicians, staff, and research
  • Use generative AI to create and update documents that adhere to standards and tailored to your organization.