Eric Bouillon & Kevin Masick 
Storytelling with Data in Healthcare [PDF ebook] 

Soporte

With the constant evolution of change in healthcare from both a technology and governmental perspective, it is imperative to take a step back and view the big picture. Relying on hunches or beliefs is no longer sustainable, so avoid jumping to conclusions and making decisions without thoroughly understanding the statistics being analyzed. The triple aim of statistics is a conceptual model laying the foundation for improving healthcare outcomes through statistics. This foundation is: know your numbers; develop behavioral interventions; and set goals to drive change.


With the availability of electronic data sources, the quantity and quality of data have grown exponentially to the point of information overload. Translating all this data into words that tell a meaningful story is overwhelming. This book takes the reader on a journey that navigates through this data to tell a story that everyone can understand and use to drive improvement. Readers will learn to tell a narrative story based on data, to develop creative, innovative and effective solutions to improve processes and outcomes utilizing the authors’ tools. Topics include mortality and readmission, patient experience, patient safety survey, governmental initiatives, CMS Star Rating and Hospital Compare.


Storytelling with Data in Healthcare combines methodology and statistics in the same course material, making it coherent and easier to put into practice. It uses storytelling as a tool for knowledge acquisition and retention and will be valuable for courses in nursing schools, medical schools, pharmacy schools or any healthcare profession that has a research design or statistics course offered to students. The book will be of interest to researchers, academics, healthcare professionals, and students in the fields of healthcare management and operations as well as statistics and data visualization.

€45.98
Métodos de pago
¡Compre este libro electrónico y obtenga 1 más GRATIS!
Formato PDF ● Páginas 192 ● ISBN 9781000226461 ● Editorial Taylor and Francis ● Publicado 2020 ● Descargable 3 veces ● Divisa EUR ● ID 7671407 ● Protección de copia Adobe DRM
Requiere lector de ebook con capacidad DRM

Más ebooks del mismo autor / Editor

87.073 Ebooks en esta categoría