AI Case Study

Banner Health saves $29m in three years by helping avoid hospitalisation for patients with multiple chronic conditions by remote monitoring of vitals and analysis with machine learning

Banner Health has implemented Philip's tele-health platform and predictive analytics to manage patients with multiple chronic conditions. Patients are monitored using wearables in real-time and changes in vitals that lead to hospitalisation are identified automatically using machine learning and preventive measures are suggested. Communication with patients to encourage medication adherence and self-care are done using chatbots.

Industry

Healthcare

Healthcare Providers And Services

Project Overview

Using telehealth platform, patient behavior is monitored and analyzed and regular visits from healthcare workers are scheduled to help them.

Communication with patients to encourage medication adherence and self-care are done using chatbots.

Reported Results

The company claims:

* More than 1000 patients have been served
* 45% reduction in hospitalization
* 30% reduction in cost care
* $29M in savings in 3 years

Technology

Function

Customer Service

Technical And Product Support

Background

"Patients with multiple chronic conditions makeup only 5% of total patients but cost around 50% of total healthcare costs. Banner Health, a non-profit health care provider based in Arizona, initiated a tele-health platform to better manage the conditions."

Benefits

Cost - Optimise resource allocation

Data