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Analytics in healthcare = a practica...

El Morr, Christo.

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Analytics in healthcare = a practical introduction /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analytics in healthcare/ by Christo El Morr, Hossam Ali-Hassan.
其他題名:	a practical introduction /
作者:	El Morr, Christo.
其他作者:	Ali-Hassan, Hossam.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xi, 105 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Healthcare and Business Intelligence -- Chapter 2. Analytics: The Building Blocks -- Chapter 3. Descriptive, Predictive and Prescriptive Analytics -- Chapter 4. Healthcare Analytics Applications -- Chapter 5. Data Visualization -- Chapter 6. Future Directions -- Appendix A: Which Analytics to Choose: A Guideline.
Contained By:	Springer eBooks
標題:	Health services administration. -
電子資源:	https://doi.org/10.1007/978-3-030-04506-7
ISBN:	9783030045067

Analytics in healthcare = a practical introduction /
El Morr, Christo.

Analytics in healthcarea practical introduction /[electronic resource] :by Christo El Morr, Hossam Ali-Hassan. - Cham :Springer International Publishing :2019. - xi, 105 p. :ill., digital ;24 cm. - SpringerBriefs in health care management and economics,2193-1704. - SpringerBriefs in health care management and economics..

Chapter 1. Healthcare and Business Intelligence -- Chapter 2. Analytics: The Building Blocks -- Chapter 3. Descriptive, Predictive and Prescriptive Analytics -- Chapter 4. Healthcare Analytics Applications -- Chapter 5. Data Visualization -- Chapter 6. Future Directions -- Appendix A: Which Analytics to Choose: A Guideline.

This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for analytics in healthcare as well as the solutions to address these problems. In the healthcare field, professionals have access to vast amount of data in the form of staff records, electronic patient record, clinical findings, diagnosis, prescription drug, medical imaging procedure, mobile health, resources available, etc. Managing the data and analyzing it to properly understand it and use it to make well-informed decisions can be a challenge for managers and health care professionals. A new generation of applications, sometimes referred to as end-user analytics or self-serve analytics, are specifically designed for non-technical users such as managers and business professionals. The ability to use these increasingly accessible tools with the abundant data requires a basic understanding of the core concepts of data, analytics, and interpretation of outcomes. This book is a resource for such individuals to demystify and learn the basics of data management and analytics for healthcare, while also looking towards future directions in the field.

ISBN: 9783030045067

Standard No.: 10.1007/978-3-030-04506-7doiSubjects--Topical Terms:

617633
Health services administration.

LC Class. No.: RA971.3 / .E466 2019

Dewey Class. No.: 362.10681

Analytics in healthcare = a practical introduction /
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520 $a This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for analytics in healthcare as well as the solutions to address these problems. In the healthcare field, professionals have access to vast amount of data in the form of staff records, electronic patient record, clinical findings, diagnosis, prescription drug, medical imaging procedure, mobile health, resources available, etc. Managing the data and analyzing it to properly understand it and use it to make well-informed decisions can be a challenge for managers and health care professionals. A new generation of applications, sometimes referred to as end-user analytics or self-serve analytics, are specifically designed for non-technical users such as managers and business professionals. The ability to use these increasingly accessible tools with the abundant data requires a basic understanding of the core concepts of data, analytics, and interpretation of outcomes. This book is a resource for such individuals to demystify and learn the basics of data management and analytics for healthcare, while also looking towards future directions in the field.
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