Georgia Tech Selected Research Thrusts

1. Optimal care delivery, advancing patient care, workflow peformance, and systems capability and efficiency
Individual health systems provide various services and allocate different resources for patient care. In this thrust, we investigate optimal care delivery models for health systems through standardizing, consolidating services of tertiary services within the organization, and optimizing resources for the overall patient care so as to increase quality and timeliness of care, maximize financial performance, and decrease practice variability across the organization. Major projects include practice variance study, dynamic OR scheduling and service prediction, transforming trauma care, systems modeling and optimizing clinical and patient workflow (e.g., ED, OR, ICU), and optimizing Medicaid and Medicare services.

2. Safety and quality assurance
We focus on patient safety, reduction of preventable injuries, infections, and deaths among patients. Active projects include systems approach for reduction in medical errors, hospital acquired conditions, and surgical site infection. Our studies entail large-scale system-wide design that involves multiple hospital units and services (OR, ICU, NICU, MRSA, ED, and environmental services) and multiple stakeholders (care givers and providers, patients, and facility workers). System and process inter-dependencies are captured and modeled, and global optimization is performed to minimize risk factors and optimize outcome, while incorporating human factors and behavioral intervention within the process.

3. Health information technology, meaningful usage of electronic medical records
Clinical data from electronic medical record (EMR), laboratory and imaging systems provide a wealth of information for advancing diagnoses, optimizing healthcare delivery operations, and improving patient care. Fundamental difficulties with efficient usage of clinical informatics systems include continual evolution and the ability to analyze large-scale distributed datasets to uncover important information for medical decisions. This thrust deals with health information technology to advance patient care. Our teams develop novel analytic, visualiization, predictive, and decision making tools through systematic modeling and analysis of clinical and health data that are generated from EMR, laboratory and imaging systems. Impact projects include alert management, evidence-based personalized diagnosis and treatment, remote patient monitoring, tele-medicine, population health and community engagement.

4. Advancing clinical care and reducing waste through predictive analytics
Tying to the meaningful usage of clinical, biological, and hospital data, this thrust focuses on advancing predictive capability for knowledge discovery and decision making in large-scale, heterogeneous, and evolving data streams. We develop a powerful data integration and machine learning framework for "search, explore, analyze, and knowledge connectivity" to advance quality of care and reduce waste through predicting patient characteristics, resource and care needs. Selected projects include predicting readmission patterns, patient characteristics, and hospital resource usage, personalized and target dose delivery, predictive health, and early diagnosis and intervention.