
Using Health Data
Applying Technology to Work Smarter
Churchill Livingstone (Publisher)
Published on 1. October 2008
Book
Paperback/Softback
304 pages
978-0-7295-3889-3 (ISBN)
Description
Using Health Data addresses the enduring problem faced by most healthcare workers: the transformation and presentation of data into meaningful and accessible information. This practical new text will guide the manipulation of health data needed by the 'doers' and 'users' of health data.
Using Health Data takes 'real' examples from healthcare practice to illustrate, demonstrate and provide advice. It also describes various quantitative quality control charting and plotting methods to enable the effective presentation of data. While the text addresses the fundamentals of data manipulation, the interactive companion website allows readers to practice transforming real data into meaningful information.
Using Health Data will aid the reader in:
- understanding how to transform qualitative data into quantitative measures;
- linking data from multiple sources to create new information and
- differentiating between different types of health data; administrative, for planning or resource scheduling; and clinical evidence.
Using Health Data takes 'real' examples from healthcare practice to illustrate, demonstrate and provide advice. It also describes various quantitative quality control charting and plotting methods to enable the effective presentation of data. While the text addresses the fundamentals of data manipulation, the interactive companion website allows readers to practice transforming real data into meaningful information.
Using Health Data will aid the reader in:
- understanding how to transform qualitative data into quantitative measures;
- linking data from multiple sources to create new information and
- differentiating between different types of health data; administrative, for planning or resource scheduling; and clinical evidence.
More details
Language
English
Place of publication
Marrickville, NSW
Australia
Publishing group
Elsevier Australia
Target group
College/higher education
Any professional discipline or health student who uses (or will use) health data collected from the clinical area to support healthcare practice.
Illustrations
Illustrations
Dimensions
Height: 152 mm
Width: 102 mm
ISBN-13
978-0-7295-3889-3 (9780729538893)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
Section 1
Introduction
Principles of data entry and quality
- Rationale
- Why do we have standards?
- What is data?
- Why do we need clean data?
Principles of data storage and retrieval
- Security of data
- Confidentiality of data
- Ethical use of data
Section 2 Data Manipulation
Transforming Database Data
Basics
Structure
Find, Sort, Group
Queries
Sharing
Analysing the data
Cross tab analysis
Charts
Ways of Presenting this Data
Creating meaningful charts
Reading Charts
What do they tell you?
Employing Graphics
Tips and Tricks
Transforming Spreadsheet Data
Basics
Structure
Filtering and Sorting
Wildcards
Formatting Data
Analysing the data
Summarising data
'What if' analysis
Ways of Presenting this Data
Creating meaningful charts
Reading Charts
What do they tell you?
Employing Graphics
Tips and Tricks
Transforming Word processor Data
Simple Research
Section 3 Presenting Data for Impact
Word
- Document Presentation
PowerPoint
- Basics of presentation
Charts
Web
- Blogs
- Wikis
WiFi
Tips and Tricks
Conclusion
FAQs
Introduction
Principles of data entry and quality
- Rationale
- Why do we have standards?
- What is data?
- Why do we need clean data?
Principles of data storage and retrieval
- Security of data
- Confidentiality of data
- Ethical use of data
Section 2 Data Manipulation
Transforming Database Data
Basics
Structure
Find, Sort, Group
Queries
Sharing
Analysing the data
Cross tab analysis
Charts
Ways of Presenting this Data
Creating meaningful charts
Reading Charts
What do they tell you?
Employing Graphics
Tips and Tricks
Transforming Spreadsheet Data
Basics
Structure
Filtering and Sorting
Wildcards
Formatting Data
Analysing the data
Summarising data
'What if' analysis
Ways of Presenting this Data
Creating meaningful charts
Reading Charts
What do they tell you?
Employing Graphics
Tips and Tricks
Transforming Word processor Data
Simple Research
Section 3 Presenting Data for Impact
Word
- Document Presentation
PowerPoint
- Basics of presentation
Charts
Web
- Blogs
- Wikis
WiFi
Tips and Tricks
Conclusion
FAQs