Background:Patients in oncology setting are struggling with the complexed disease, and long and intensive treatment options. This increase the need of patients for more coordination and effective hand-off between health providers including nurses.Aims:The main aim of this project is to improve the effectiveness of hand-off between nurses in the oncology setting using lean management principles.Methods:One group pretest-posttest quasi-experimental design was conducted at King Hussain Cancer Center during quarter two to quarter four in 2017. The project was conducted using the lean tools including root cause analysis, redesigning the hand-off process; using structured tools, and standardization of the hand-off process.Results:The finding of this project showed a significant decreasing in the hand-off duration and the incidence of events related to nursing practice deviation in post-intervention. Moreover, the results showed that the nurse satisfaction score was improved. However, there is a little difference in patient satisfaction results between two quarters for overall satisfaction and per each domain.Conclusion:The project approved that the use of structured tools, safety briefing, and standardized hand-off process play important role in improving the effectiveness of the hand-off process.
There are multiple risk factors for LE. Most of those factors can be influenced by early tumor detection. Early tumors are smaller with no LVI or axillary LN metastasis. They do not usually require AD or axillary radiotherapy, which are the strongest factors associated with the development of LE.
Objective: Adult outpatient oncology pain clinics face many challenges due to the increased number of patients, the restriction of electronic appointment systems, overcrowding, waiting time, and patient dissatisfaction. This project aimed to improve clinic time efficiency, decrease clinic waiting time, and improve patient satisfaction. Methods: Lean thinking concepts and their tools, for example, value-stream mapping and value added (VA)/non-VA (NVA) analysis were used. Electronic appointment system slots were stratified based on patient visit type. A total of 187 patients were included in a time-motion survey at three different occasions: preintervention ( n = 67) and two consecutive quarter postintervention time points ( n = 64, n = 56). Simultaneously, patient satisfaction was reported quarterly by a quality management office. Results: The pain clinic workflow became more efficient; the mean clinic waiting time decreased from 72.5 min at preintervention to 19.5 and 21 min at the two postintervention quarters, respectively. Moreover, patient satisfaction improved from 75% at the preintervention to 100% and 96.7% at the two postintervention quarters. Conclusions: Redesigning the process of an electronic appointment system using lean thinking considerably decreases patients’ waiting time, improves patient satisfaction, improves resource utilization, allows proper scheduling based on patient visit types, eliminates unnecessary waste processes, and reallocates health-care providers’ time toward direct, individualized patient care.
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