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Data analysis prescribed to strengthen nurse training
Technology Category
- Analytics & Modeling - Data Mining
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Education
- Healthcare & Hospitals
Applicable Functions
- Quality Assurance
Services
- Data Science Services
- Software Design & Engineering Services
The Challenge
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.
About The Customer
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.
The Solution
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.
Operational Impact
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