Data analysis prescribed to strengthen nurse training
公司规模
1,000+
地区
- Europe
产品
- Statistica
- Statistica Advanced
- Statistica Reporting Tables
技术栈
- Advanced linear and nonlinear modeling
- Multivariate exploration
- Power analysis
- Interval estimation
实施规模
- Departmental Deployment
影响指标
- Customer Satisfaction
- Employee Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 数据挖掘
- 分析与建模 - 预测分析
- 分析与建模 - 实时分析
适用行业
- 教育
- 医疗保健和医院
适用功能
- 质量保证
服务
- 数据科学服务
- 软件设计与工程服务
关于客户
The customer is a university hospital in Europe, one of the oldest continually operated universities in the region, with a history spanning over 600 years. The university has survived wars, shifting boundaries, and political upheavals. The Department of Nursing at this university hospital is a top-ranking institution that offers instruction in medical-surgical nursing, mental health nursing, and the pedagogy of nursing and medicine. The department is committed to continuous improvement and aims to incorporate research results into teaching to help students develop the knowledge and skills they need to excel. The department has 3,900 medical faculty and staff and focuses on clinical training, where nursing students work side by side with mentors, caring for actual patients in hospitals, clinics, and similar settings.
挑战
The Department of Nursing at a top-ranking university hospital needed to analyze large volumes of survey and evaluation data to improve and better target its training programs. The university, with a history spanning over 600 years, faced the challenge of unlocking insights from its data to enhance its teaching methods. The department aimed to evaluate data collected through surveys about the clinical training experiences of its students, including evaluations of both students’ preparation and mentors’ interactions with students. The data would be used as the basis for designing new training programs that were scheduled to be submitted for accreditation in 2015. One obstacle to performing this analysis was the large volume of survey data that had been collected. The department needed fast, reliable tools that would help the team gain the most value possible from it.
解决方案
The Department of Nursing deployed a solution based on Statistica Advanced software to analyze large volumes of survey data. Statistica supports advanced linear and nonlinear modeling, multivariate exploration, power analysis, and interval estimation. The solution also included the Statistica Reporting Tables. The department uses Statistica to unlock hidden insights from data to build customized training courses for students, both in the classroom and at the bedside. The Statistica solution provides fast, reliable, and professional processing of data, with clear graphical representations, accurate scaling, and simple integration with familiar Microsoft Office tools. This allows the department to understand the stories their data is telling and to design new training programs aimed at specific groups of trainees. The solution also helps the department analyze data from long-term research studies and incorporate evaluations of external training programs.
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