Environment for Model Maintenance, Integration and Tuning (EMMIT)

By providing a hosting solution outside of EHR systems, EMMIT can monitor the flow of data between systems and notify teams of errors or downtime.

Kate MurphyNovember 10, 2022EMMETT, Predictive Analysis, AirStrip, MTRAC, EMMIT, model monitoring

Breath Analysis Device for Lung Disease Detection

Using only exhaled breath, this non-invasive, point-of-care device can identify and track over 20 lung diseases including ARDS and COVID.

Model Performance Diagnostics Suite

The Model Performance Diagnostics are a suite of tools compatible with the EMMIT hosting and integration platform. This standalone application detects data shift and model degradation by comparing the distribution of the real-time data that is fed to the model to the data on which the model was trained.

Available for LicensingKate MurphyAugust 29, 2022EMMETT, Predictive Analysis, AirStrip, MTRAC

Environment for Model Maintenance, Integration and Tuning (EMMIT)

EMMIT solves a critical problem for predictive analytics in a hospital setting. By providing a hosting solution outside of EHR systems, EMMIT can monitor the flow of data between systems and notify teams of errors or downtime. EMMIT’s usefulness scales with the ability to host and monitor the operation of multiple models simultaneously.

Available for LicensingKate MurphyAugust 29, 2022EMMETT, Predictive Analysis, AirStrip, MTRAC

Electrocardio-matrix (ECM)

The Electrocardiomatrix (ECM) utilizes an ingenious new way to visually analyze ECG signals. By Organizing 2D-ECG signals into 3D matrixes, the ECM increases the detection accuracy and speed of all cardiac abnormalities that traditionally relied on ECG data, including AFIB and ischemia. Data demonstrated that ECM helps to reduce both false positive and false negative AFIB detection in stroke patients.