Authored by: Laura Kanov, Senior Vice President, Product Strategy

At HBI Solutions, we take pride in the fact that we take an academic approach to what we do. But what does that really mean?

We believe that our solutions should be based on science; data science, medical science, scientific methods.  We study what is already in the published domain for insights on risk models & modeling methods, as well as clinical challenges to learn from other authors. Then, we contribute to the body of knowledge by publishing our methods and results so that others can learn, too.

I invite you to read and comment on our two latest research articles:

Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine

Unlike other lung cancer risk models which use a small number of factors and small sample size, this study took thousands of feature candidates from demographic, socioeconomic, laboratory tests, diagnoses and procedures with a heterogeneous population nearing 1 million. Patients with elevated risk may benefit from more focused diagnostics or preventative measures, lowering costs and saving lives.

A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data.

An early warning system (EWS) to identify patients at high risk of subsequent intrahospital death can be an effective tool for ensuring patient safety and quality of care and reducing avoidable harm and costs. This study shows how an EWS can be used to alert clinicians about patients at high risk on in-hospital death and thereby provide opportunities for timely interventions to thwart deterioration.