Anthony Morton – Statistical Methods for Hospital Monitoring with R
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Автор: Anthony Morton
Название книги: Statistical Methods for Hospital Monitoring with R
Формат: PDF
Тема: Организация здравоохранения, Медицинская статистика
Страницы: 429
Качество: Изначально компьютерное, E-book
Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance. This book provides a suite of functions in R, enabling scientists and data analysts working in infection management and quality improvement departments in hospitals, to analyse their often non-independent data which is frequently in the form of trended, over-dispersed and sometimes auto-correlated time series; this is often difficult to analyse using standard office software.
This book provides much-needed guidance on data analysis using R for the growing number of scientists in hospital departments who are responsible for producing reports, and who may have limited statistical expertise.
This book explores data analysis using R and is aimed at scientists in hospital departments who are responsible for producing reports, and who are involved in improving safety. Professionals working in the healthcare quality and safety community will also find this book of interest
Statistical Methods for Hospital Monitoring with R:
Provides functions to perform quality improvement and infection management data analysis.
Explores the characteristics of complex systems, such as self-organisation and emergent behaviour, along with their implications for such activities as root-cause analysis and the Pareto principle that seek few key causes of adverse events.
Provides a summary of key non-statistical aspects of hospital safety and easy to use functions.
Описание
Книга Anthony Morton Statistical Methods for Hospital Monitoring with R — практическое руководство по применению статистических методов для мониторинга качества и безопасности в медицинских учреждениях. Автор показывает, как с помощью языка R анализировать данные о госпитальных инфекциях, смертности, времени ожидания и других ключевых индикаторах.
Издание подробно разбирает контрольные карты, методы выявления изменений в процессах, анализ временных рядов и риск-менеджмент. Всё объясняется на реальных примерах из здравоохранения, с готовым кодом на R, который можно сразу адаптировать под задачи своей больницы или клиники.
- врачам, отвечающим за качество медицинской помощи
- специалистам по клиническому аудиту и инфекционному контролю
- менеджерам здравоохранения и аналитикам данных в медицине
- студентам и исследователям в области public health, изучающим статистику
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