Machine Learning in Healthcare Applications

Not just pre-programmed healthcare responses.

Machine Learning allows our Artificial Intelligence (AI) to generate healthcare recommendations and solutions based on analyzing the medical data. It doesn’t just present pre-programmed answers triggered by a piece of information. It also enables the processing of large amounts of healthcare data at speeds beyond what a human could do.

The Benefits of Machine Learning in Healthcare Applications

Speed and Scale

Machine Learning enables the processing of huge amounts of healthcare data faster.

Predictions and Approaches

Our AI analyzes the healthcare data to predict patient outcomes and give recommended plans of action.

Earlier Interventions

With predicted outcomes through machine learning, clinicians can take the necessary steps earlier and prevent deterioration or escalation.

Accuracy Builds Confidence

With our AI we have a Positive Predictive Value or PPV of 90-95%, which means you can rely on the accuracy of our predicted healthcare outcomes.

Sensitivity

Our AI accurately predicts 80 to 95% of actual positive cases. Conversely, we have five times fewer false positives.

Healthcare Machine Learning in Action

Within Pieces Predict machine learning, all the health determinants of a patient are analyzed. Structured healthcare and medical data such as age, blood pressure, and other data points are combined with unstructured data from the clinician’s notes and with a patient’s social determinants from their life outside the hospital. Through analyzing all the relevant data, AI can predict, for example, that a patient needs ICU care before an adverse event happens. An earlier intervention through machine learning and AI can keep a patient’s condition from escalating or deteriorating.

Learn more about our Machine Learning in Healthcare

Machine Learning is primarily used in Pieces Predict and is integral to Pieces for Hospital Systems.