Gehaltesorg en koste-effektiewe dienslewering deur middel van ’n geoutomatiseerde pasientklassifikasiestelsel.

A patient classification system is used to classify patients according to the acuity of their condition and the amount of care which they need in order to determine staffing needs. Such a system enables optimal provision of nursing staff thus ensuring cost-effective quality care. A patient classification system must be tailored to the needs of each hospital to ensure reliability. There is an adaptable computer software program which is able to do all the calculations for a patient classification system. It provides valuable daily, weekly and monthly print-outs — such as summaries of patient acuity and staffing requirements for each unit and for the hospital as a whole.

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'n Rekenaargesteunde Wissellys

Curationis ◽

10.4102/curationis.v8i2.585 ◽

1985 ◽

Vol 8 (2) ◽

Author(s):

Mirinda Coetsee

Keyword(s):

Computer Program ◽

Nursing Staff ◽

Cost Containment ◽

Classification System ◽

Patient Classification ◽

Nursing Management ◽

Staff Scheduling ◽

Hospital Nursing ◽

Patient Classification System ◽

Monthly Change

Drawing up the monthly change list and the off-duty times for hospital nursing staff is an important administrative function. However, nursing management spends many valuable hours on this function. These hours can be reduced to minutes by a computer program designed for this purpose. The program also contributes to cost containment as it allows for more effective staff scheduling, particularly when used with a patient classification system. Furthermore, it provides a variety of useful management reports such as a monthly productivity summary, a monthly costanalysis report and a 24-hour staff analysis.

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Nursing staff sizing in the emergency room of a university hospital

Revista da Escola de Enfermagem da USP ◽

10.1590/s0080-623420150000300017 ◽

2015 ◽

Vol 49 (3) ◽

pp. 481-487 ◽

Cited By ~ 3

Author(s):

Taís Couto Rego da Paixão ◽

Cássia Regina Vancini Campanharo ◽

Maria Carolina Barbosa Teixeira Lopes ◽

Meiry Fernanda Pinto Okuno ◽

Ruth Ester Assayag Batista

Keyword(s):

Emergency Room ◽

Nursing Staff ◽

Classification System ◽

Registered Nurse ◽

Professional Staff ◽

Risk Classification ◽

University Hospital ◽

Patient Classification ◽

Patient Classification System

OBJECTIVE To verify the adequacy of the professional nursing staff in the emergency room of a university hospital and to evaluate the association between categories of risk classification triage with the Fugulin Patient Classification System. METHOD The classification of patients admitted into the emergency room was performed for 30 consecutive days through the methodology proposed by Gaidzinski for calculating nursing requirements. RESULTS The calculation determines the need for three registered nurses and four non-registered nursing for each six hour shift. However, only one registered nurse and four non-registered nurse were available per shift. There was no correlation between triage risk classification and classification of care by the Fugulin Patient Classification System. CONCLUSION A deficit in professional staff was identified in the emergency room. The specificity of this unit made it difficult to measure. To find the best strategy to do so, further studies should be performed.

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Developing a Nursing Needs Assessment Scale and Patient Classification System based on Nursing Activities in Comprehensive Nursing Care Units

Journal of Korean Academy of Fundamentals of Nursing ◽

10.7739/jkafn.2021.28.3.395 ◽

2021 ◽

Vol 28 (3) ◽

pp. 395-409

Author(s):

Jeonghyun Kim ◽

Sujin Shin ◽

Sung-Heui Bae ◽

Inyoung Lee

Keyword(s):

Nursing Care ◽

Nursing Staff ◽

Content Validity ◽

Classification System ◽

Concurrent Validity ◽

Correlation Coefficients ◽

Nursing Intervention ◽

Assessment Scale ◽

Patient Classification ◽

Patient Classification System

Purpose: This study was done to develop and validate a scale for assessing nursing needs on comprehensive nursing care units and to derive a patient classification system based on nursing needs.Methods: In this methodological study, the initial items were identified through a review of the literature and surveys from nursing staff regarding the nursing needs on comprehensive nursing care units. Content validity was evaluated by nine nursing staff members from comprehensive nursing care units. To evaluate the concurrent validity and derive a patient classification system, nursing needs scores, perceived nursing needs and perceived patient severity for 216 patient cases were evaluated by five nurses. These data were analyzed using Pearson‘s correlation coefficients, one-way ANOVA with Scheffépost hoc tests and K-means clustering.Results: After evaluating content validity, the developed scale contained 64 activities in two domains: nursing intervention and assistance of daily living. Concurrent validity was verified by analyzing the differences in the nursing needs scores according to each group of perceived nursing needs and severity (p<.001) and by analyzing the correlation between the score of the developed scale and the National Health Insurance Service nursing need assessment scale (r=.68, p<.001). Based on the score of the developed scale, a patient classification system that classified nursing needs into four stages was derived.Conclusion: The developed scale represented nursing activities in comprehensive nursing care units. It also provided specific data regarding the time spent on nursing activities. Therefore, it is expected to contribute toward establishing appropriate nurse staffing strategies to provide quality patient care.

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