Nursing Management Minimum Data Set: Cost-Effective Tool To Demonstrate the Value of Nurse Staffing in the Big Data Science Era.
There is a growing body of evidence of the relationship of nurse staffing to patient, nurse, and financial outcomes. With the advent of big data science and developing big data analytics in nursing, data science with the reuse of big data is emerging as a timely and cost-effective approach to demonstrate nursing value. The Nursing Management Minimum Date Set (NMMDS) provides standard administrative data elements, definitions, and codes to measure the context where care is delivered and, consequently, the value of nursing. The integration of the NMMDS elements in the current health system provides evidence for nursing leaders to measure and manage decisions, leading to better patient, staffing, and financial outcomes. It also enables the reuse of data for clinical scholarship and research.
Lisiane
L
Pruinelli
Connie W
CW
Delaney
Amy
A
Garciannie
Barbara
B
Caspers
Bonnie L
BL
Westra
D003362:Cost-Benefit Analysis / Q000706:statistics & numerical data*; D066264:Datasets as Topic; D006801:Humans; D015401:Nursing Administration Research; D009741:Nursing Staff, Hospital / Q000191:economics* / Q000706:statistics & numerical data / Q000600:supply & distribution*; D010561:Personnel Staffing and Scheduling / Q000191:economics* / Q000706:statistics & numerical data*; D011787:Quality of Health Care / Q000191:economics*