- B
- Blockchain
- C
- Customer Churn
- Counterterrorism
- Cybersecurity in the Public Sector
- Credit Card Fraudulent Transactions
- Credit Default Rates
- Conversion Modeling
- Claim Payment Automation Modeling
- Claim Development Modeling
- D
- Drug Delivery Optimization
- Disease Propensity
- Digital Wealth Management
- Direct Marketing
- E
- Estimating Sepsis Risk
- F
- Finding Duplicate Customer Records in Your Database
- Fraud detection
- Finding New Oil and Gas Sources
- Fraudulent Claim Modeling
- G
- Google AdWords Bidding
- H
- Hospital Readmission Risk
- I
- Inventory Forecasting
- Insider Threat in Public Sector
- Insurance Pricing
- L
- Loyalty Program Usage
- Life Insurance Underwriting
- M
- Multichannel Marketing Attribution
- Modeling ICU Occupancy
- N
- Next Best Offer
- Next Best Action
- P
- Product Personalization
- Q
- Quality Assurance
- S
- Supply Chain Management
- View global site search results

Modeling ICU Occupancy
Forecasting ICU occupancy means being prepared for incoming patients and not staffing empty beds.
Problem/Pain
When an ICU hits capacity, due to staffing or bed space, no additional patients can be admitted. The resulting delays and transfers impact the quality of patient care and effect a financial consequence.
Solution
Using your historical data, including patient, event, and environmental factors, DataRobot can model likely ICU usage. When you know which current patients are likely to transfer to the ICU, which ICU patients are likely to be discharged, and the number of likely new ER patients, you can better prepare. The result is a bed available for each patient, with accurate staffing levels to ensure each patient gets the care they need and you don’t pay for unnecessary personnel resources.
Why DataRobot
DataRobot can see your entire hospital in an instant and estimate the movements of patients within the hospital to help you prepare for what’s coming.