TY - JOUR
T1 - Improving processes through evolutionary optimization
AU - Clancy, Thomas R.
PY - 2011/9/1
Y1 - 2011/9/1
N2 - As systems evolve over time, their natural tendency is to become increasingly more complex. Studies on complex systems have generated new perspectives on management in social organizations such as hospitals. Much of this research appears as a natural extension of the cross-disciplinary field of systems theory. This is the 18th in a series of articles applying complex systems science to the traditional management concepts of planning, organizing, directing, coordinating, and controlling. In this article, I discuss methods to optimize complex healthcare processes through learning, adaptation, and evolutionary planning.
AB - As systems evolve over time, their natural tendency is to become increasingly more complex. Studies on complex systems have generated new perspectives on management in social organizations such as hospitals. Much of this research appears as a natural extension of the cross-disciplinary field of systems theory. This is the 18th in a series of articles applying complex systems science to the traditional management concepts of planning, organizing, directing, coordinating, and controlling. In this article, I discuss methods to optimize complex healthcare processes through learning, adaptation, and evolutionary planning.
UR - http://www.scopus.com/inward/record.url?scp=80052750620&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052750620&partnerID=8YFLogxK
U2 - 10.1097/NNA.0b013e31822a705d
DO - 10.1097/NNA.0b013e31822a705d
M3 - Article
C2 - 21881437
AN - SCOPUS:80052750620
SN - 0002-0443
VL - 41
SP - 340
EP - 342
JO - Journal of Nursing Administration
JF - Journal of Nursing Administration
IS - 9
ER -