Back to Authors

Pickering, Brian W.

https://orcid.org/0000-0002-8307-8449

Mayo Clinic

Mayo Clinic

Citations 51

Intensive Care Unit Operational Modeling and Analysis
Dong, Yue , Lu, Huitian, Pickering, Brian W. , Gajic, Ognjen , Dong, Yue

Management Engineering for Effective Healthcare Delivery | October 4, 2011 | Volume: No volume available | Issue: No issue available | Pages: 132-147

10.4018/978-1-60960-872-9.ch006 Get It

The outcome of critical illness depends not only on life threatening pathophysiologic disturbances, but also on several complex “system” dimensions: health care providers’ performance, organizational factors, environmental factors, family preferences and the interactions between each component. Systems engineering tools offer a novel approach which can facilitate a “systems understanding” of patient-environment interactions enabling advances in the science of healthcare delivery. Due to the complexity of operations in critical care medicine, certain assumptions are needed in order to understand system behavior. Patient variation and uncertainties underlying these assumptions present a challenge to investigators wishing to model and improve health care delivery processes. In this chapter we present a systems engineering approach to modeling critical care delivery using sepsis resuscitation as an example condition.