- A risk model scores each inpatient from device use, procedures, diagnoses, lab results and unit data you already hold, and updates as the stay goes on.
- Reason codes show which factors raised each score, so infection preventionists can check it against the bedside picture.
- Unit and department reports track infection risk over time, so leaders see where prevention work is needed.
- The score orders a worklist. Your clinicians decide every intervention, and H2O makes no clinical efficacy claim.
Catch the signs that come before an infection, not after
Your infection prevention team reviews cases once an infection is confirmed. By then the patient has a longer stay, and the unit has a number it has to report.
The signs that come before an infection are already in the record: line days, device changes, recent procedures, lab trends. No one has time to read them for every patient on every unit, so a model that reads them for you gives your team a short list to check each day.
How predicting hospital-acquired infections works
Infection risk prediction is a classification model trained on your own history that estimates the chance a patient develops an infection during the stay, built in H2O Driverless AI inside your own boundary. Most programs start with one infection type that has clear definitions and enough history to train on, such as central line-associated bloodstream infection (CLABSI); other infection types typically get their own model.
Step 1: connect the history
Pull device and line records, procedures, diagnoses, lab results and unit census from the EMR you already run. The model sits on top of the EMR; it does not replace it.
Step 2: build and compare models
H2O Driverless AI runs automatic feature engineering and ranks candidate models on held-out stays.
Step 3: explain each score
ML interpretability and Shapley values show which factors raised each score.
Step 4: report by unit
Roll scores up to unit, department and hospital, so leaders can follow risk over time.
Step 5: run it in shadow mode
Score patients beside your current surveillance first, and compare with confirmed infections before anyone acts on the list.
Where clinicians stay in charge
H2O supports HIPAA and HITECH requirements, and protected health information never has to leave your boundary. H2O makes no clinical efficacy claim: the model prioritizes a worklist with the reasons attached, and your infection preventionists and clinicians still decide.