Sentrian, the remote patient intelligence company aspiring to eliminate all preventable hospitalization, announced that CareMore Health System, a wholly owned subsidiary of Anthem Blue Cross, has selected the Sentrian Remote Patient Intelligence platform (Sentrian RPI) for its CareMore health plan members.

Sentrian will provide an integrated remote patient monitoring and analytics service to CareMore health plan members with complex chronic diseases.

The Sentrian RPI platform is designed to prevent avoidable hospitalization by leveraging the revolution in remote biosensors and machine learning to remotely detect deterioration in patients’ health before it becomes acute.

The initial implementation is focused on patients with chronic obstructive pulmonary disease (COPD) and other concomitant conditions. A large controlled study with 1,000 CareMore members and another 1,000 members who are not on the platform as a control group will be developed to measure the effectiveness of the Sentrian RPI service in reducing preventable hospitalization.

"Sentrian goes beyond our previous attempts at remote patient monitoring by providing a personalized view into the unique patterns of individual patients, comparing their current metrics with their medical history, their baseline vitals, caregiver and family observations, and longitudinal health information," said David Ramirez, MD, Chief Quality Officer of CareMore.

Sentrian’s Remote Patient Intelligence platform includes the following services:

Identify: By analyzing a client’s claims and/or clinical data, Sentrian’s risk-assessment engine identifies patients who are at the greatest risk of hospital admissions and would benefit most from remote monitoring and analytics.

Monitor: Once the right patients are identified, Sentrian’s clinical team uses an advanced analytics engine to parse them by disease state, co-morbidities, and other clinical indicators to determine the appropriate mix of remote biometric devices for their condition.

Analyze: Sentrian’s cloud-based Big Data analytics engine continuously runs the sensor data through a disease model that compares it against global rules for patient care and then against patient-specific trending to continuously determine the patient’s health risk status. The disease model compares the sensor data with a patient’s medical history, comorbidities, exacerbations, and health benchmarks, and looks for indications contrary to population norms and patient-specific trends.

Act: Care managers and clinicians are notified when a patient’s risk status has changed and may require their attention. These notifications are designed to provide care managers and clinicians with enough time to intervene with safer, lower-cost treatment options that keep patients healthy and happy at home.