Application of patient classification system in nursing human resources allocation in high quality nursing service ward
Abstract:Objective:To apply patient classification system to explore nursing human resources allocation in high quality nursing service ward in specialized hospital,so as to provide scientific basis for nursing human resource allocation in high quality nursing service ward in specialized hospital.Methods:The amount of patients’care needs and the daily nursing hours of nursing personnel were selected as the research obj ects in 5 wards including department of liver disease internal medicine,department of hepatobiliary surgery,department of obstetrics liver diseases,department of infection diseases,department of oncology in September of 2013 year.The improved Ross Maddie Marcus scale(RMT PCS)survey was used,supplemented by the work involved method,to calcu-late 24 h average workload index and average disease severity of patients in each ward,according to the nursing manpower allocation ratio in modified RMT PCS scale to calculate the required number of nursing personnel in each ward.Results:Because of different diseases in each ward,patients’category accounted for the different pro-portion.The patients’severity,the average daily workload index and required nursing time per day were differ-ent.Conclusion:Using modified RMT PCS scale to classify patients and to establish a patient classification sys-tem of specialized hospital,which can provide scientific basis for nursing personnel allocation in high quality care ward.It is more conductive to the nursing management,are conductive to provide high quality of nursing service for patients.
Keywords:high quality nursing servicemodified RMT PCS scalepatient classificationhuman resourcesra-tional allocation
Publication Date:2015-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:4( 280-282,283 )
Chinese Nursing Research

Chinese Nursing Research

PKUISTIC
ISSN:1009-6493
Year, Vol.(Issue):2015,(3)