Nurse–patient assignment models considering patient acuity metrics and nurses’ perceived workload
| Autor: | Bayram Dundar, Kalyan S. Pasupathy, Mustafa Y. Sir, Linsey M. Steege |
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| Rok vydání: | 2015 |
| Předmět: |
Patients
Attitude of Health Personnel education Personnel Staffing and Scheduling Staffing Nurses Health Informatics Workload Nursing Staff Hospital Likert scale InformationSystems_GENERAL Nursing care Patient acuity indicators medicine Prescriptive analytics Set (psychology) Nursing Assessment business.industry Patient Acuity medicine.disease United States Computer Science Applications Test (assessment) Models Organizational Nursing Care Medical emergency Nurse-Patient Relations business Needs Assessment Nurse–patient assignment |
| Zdroj: | Journal of Biomedical Informatics. 55:237-248 |
| ISSN: | 1532-0464 |
| Popis: | Display Omitted Hypothesis: patient classification systems (PCS) do not accurately capture workload.Surveyed nurses' perceived workload.Tested combining PCS and perceived workload score.Proposed nurse-patient assignment optimization models for balanced workload. Patient classification systems (PCSs) are commonly used in nursing units to assess how many nursing care hours are needed to care for patients. These systems then provide staffing and nurse-patient assignment recommendations for a given patient census based on these acuity scores. Our hypothesis is that such systems do not accurately capture workload and we conduct an experiment to test this hypothesis. Specifically, we conducted a survey study to capture nurses' perception of workload in an inpatient unit. Forty five nurses from oncology and surgery units completed the survey and rated the impact of patient acuity indicators on their perceived workload using a six-point Likert scale. These ratings were used to calculate a workload score for an individual nurse given a set of patient acuity indicators. The approach offers optimization models (prescriptive analytics), which use patient acuity indicators from a commercial PCS as well as a survey-based nurse workload score. The models assign patients to nurses in a balanced manner by distributing acuity scores from the PCS and survey-based perceived workload. Numerical results suggest that the proposed nurse-patient assignment models achieve a balanced assignment and lower overall survey-based perceived workload compared to the assignment based solely on acuity scores from the PCS. This results in an improvement of perceived workload that is upwards of five percent. |
| Databáze: | OpenAIRE |
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