First, in collaboration with our clients we identify patients at risk for hospital admission and whose course can be influenced. Then, Sentrian provides the appropriate biosensors and wearable devices, emphasizing lower cost and less intrusive devices, based on the risk assessment for each patient. The patients receive instruction and support on the use of the devices to simplify engagement. Our platform makes it easy for the clinicians to create rules that, based on deviations in the measured parameters, prompt automated notifications to the care managers. The rules address both short term and longer term changes, since health deterioration patterns frequently develop as much as ten days before a patient becomes symptomatic.
Sentrian’s big data predictive analytics platform helps personalize the notification process, is intended to reduce false alarms and, through feedback and machine learning improves with time. It’s intended to allow qualified care managers, a scarce resource, to help more patients by reducing the wasted labor associated with false alarms. More effective interaction between the patient and the care team improves outcomes, reduces avoidable costs and improves patient satisfaction. Satisfied patients means higher HEDIS and Star ratings and makes it more likely that the patient will stay enrolled with the health plan or provider.
Sentrian’s turn-key remote patient monitoring and analytics offering 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), while eliminating those that can’t be impacted.
Monitor: Once the right patients are identified, Sentrian’s clinical team uses our advanced analytics engine to parse them by disease state, co-morbidities, and other clinical indicators to determine the appropriate mix of biometric sensors for their condition. Sentrian’s turnkey fulfillment solution manages the sensor delivery and activation process end-to-end for clients.
Analyze: Our cloud-based Clinician-Directed Machine Learning engine continually runs the sensor data through a disease deterioration model that looks for personalized patterns predictive of hospitalization.
Act: Care managers and clinicians are only notified when a patient’s risk status has changed and requires 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.
Among Sentrian’s most important breakthroughs is the healthcare industry’s first disease deterioration modeling platform, the Sentrian Disease Model Builder. It enables clinicians to quickly and easily build rules for detecting disease progression using natural human language. These rules, in the form of disease models, help care teams know which of their patients require help most urgently. In tandem with Sentrian’s analytics engine, these disease models are designed with the goal of detecting deterioration days in advance with very high accuracy.