Feasibility of Automating Patient Acuity Measurement Using a Machine Learning Algorithm.

Journal: Journal of nursing measurement

PMID: 28714447

Abstract

BACKGROUND AND PURPOSE: One method of determining nurse staffing is to match patient demand for nursing care (patient acuity) with available nursing staff. This pilot study explored the feasibility of automating acuity measurement using a machine learning algorithm.

Authors

Caitlin W Brennan

Nursing Department, National Institutes of Health Clinical Center, Bethesda, Maryland, USA.
Frank Meng
Mark M Meterko
Leonard W D'Avolio

Keywords

Algorithms Artificial Intelligence Electronic Health Records Humans Natural Language Processing Nursing Process Patient Acuity Pilot Projects Predictive Value of Tests Reproducibility of Results Workload

External Resources

View on PubMed Access via DOI PubMed (28714447)

Feasibility of Automating Patient Acuity Measurement Using a Machine Learning Algorithm.

Abstract

Authors

Keywords

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