Automated Patient Care Assignment: Accelerating every-day operational efficiency
Optimize patient placement and individual team member assignment
In-Patient/Acute Care Settings
Patient Initiated Note about Goals (PING)
Optimize, implement, and evaluate the PING (Patient Initiated Note about Goals).
Predict Behavioral Emergencies in the Hospital
Identifying patients at risk of having behavioral emergencies can help to optimize care delivery.
Enhanced Decision Support for Periop Care
Challenges related to hospital access, staffing constraints, and patient-related factors require a refined risk prediction model to enable risk-mitigation strategies earlier in the process.
A Unified Framework for Predicting Bacteremia and Interpreting Blood Culture Results
Estimates the pre-test probability of bacteremia and post-test probability of blood culture results in hospitalized patients for EHR-based clinical decision support.
Transforming Epilepsy Surgery with Augmented Reality
Placing patient-specific 3D images in the Neurosurgeon’s field of view using augmented reality and advanced imaging to increase precision for epilepsy surgery.
Using Xealth to Manage Population Health and Engage Patients with Chronic Kidney Disease
Guiding appropriate specialty consultation and delivering tailored patient educational content.
A Population Health Strategy for NAFLD using an E-Consult Platform and NLP
A population health solution for NAFLD with an ultimate goal to optimize health care resources by improving access for high risk patients and minimizing unnecessary referrals.
Machine Learning for Early Identification and Management of Pulmonary Embolism
A machine learning risk stratification model to improve recognition and management of high risk PE while also reducing hospital utilization for low risk patients.