Achieving mission success: Practical AI for clinical operations

Managing hospital resources during COVID-19 

Resources at hospitals were already in high demand before the COVID-19 pandemic; now, they are battling enormous scheduling constraints as ICUs become overcrowded, cases escalate, and staff shortages increase. Hospitals and point-of-care centers need to be able to manage schedules to maximize resource availability, protect frontline workers, and provide optimal care for patients. To do this, they need technology that provides automated decision-making capabilities so they can focus their efforts on keeping themselves and their patients healthy.

The influx of patients is causing nurses and physicians–no strangers to working long hours in normal times–to work significantly extended shifts and juggle patient duties, creating havoc around schedules. These challenges become exacerbated when healthcare workers themselves become ill and cannot work. And, hospitals are working to be extraordinarily diligent and minimize the chance for cross-contamination. This often means rethinking how they enforce new hospital policies and how staff works across units. Both of these scenarios create new scheduling complexities for hospitals.

Red Hat’s solution: Practical AI for clinical operations 

Red Hat has developed a means of using applied AI to help hospitals create schedules to optimize resources and patient care.

Red Hat Business Optimizer planning engine uses applied AI to model resources and constraints and automatically generate recommended solutions to overcome those obstacles. 

Organizations feed data points into Red Hat Business Optimizer. The system takes into consideration all defined constraints on the hospital and its staff. For instance, an administrator could input a list of staff members providing care to patients, including their qualifications and schedules. Red Hat Business Optimizer then produces a recommended shift schedule for optimized care for both COVID-19 and non-COVID-19 patients.

Red Hat worked with frontline workers, including respiratory therapists and others working in COVID-19 ICUs, when developing this solution. They made it clear that this solution serves an immediate and critical need for better situational awareness and resource management.

The agility and adaptability of the underlying open source platform in Red Hat Business Optimizer means that its applicability could go beyond its current use. Other use cases could include managing the appropriate distribution and allocation of medical equipment, such as ventilators or membrane oxygenators.

Learn more

To learn more about how Red Hat Business Optimizer is helping hospitals manage resources and
schedules, visit