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Using Health Data

Applying Technology to Work Smarter

  • 1st Edition - September 1, 2009
  • Latest edition
  • Authors: Heather Grain, Paula Procter
  • Language: English

Using Health Data addresses the enduring problem faced by most healthcare workers: the transformation and presentation of data into meaningful and accessible information. This… Read more

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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.

Key features

  • concise and practical guide to using data for health students and practitioners
  • information is divided into accessible sections with clear and straightforward progression of skills
  • screen dumps, charts and graphs are integrated throughout
  • icons in the text direct readers to web-based activities
  • Tips and Tricks at end of each section, and FAQs at the end of the text
  • activities are built around real-world examples in healthcare

Readership

Any professional discipline or health student who uses (or will use) health data collected from the clinical area to support healthcare practice.

Table of contents

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

Review quotes

"The reader is taken through the core functions of the programs clearly and logically...The book is useful for students and qualified staff who need Office to write letters, analyse basic data, create a database and give a presentation...This is a helpful source of information.

Nursing Standard, 26 May 2010

Product details

  • Edition: 1
  • Latest edition
  • Published: September 1, 2009
  • Language: English

About the authors

HG

Heather Grain

Heather Grain, ADip HIM, Dip TDD, GDip IS, MHI, FAIDH, FMU, FIAHSI, possesses international expertise in developing, implementing, and managing digital health systems and data governance. A leader in electronic health record systems, she has worked across multiple countries and held significant roles in health informatics at organizations such as ISO, HL7, and SNOMED International. Currently, she leads the Information Governance Ad Hoc Group for ISO TC215.

As an educator, Heather has guided many into health informatics, developing courses for eHealth Education and several universities. She designed the Electronic Health Records Online Learning (eHRoL) clinical coding simulation and training tool for the Global eHealth Collaborative (GeHCo). With a strong understanding of both the practical and theoretical aspects of digital health, she emphasizes the importance of data harmonization to reduce costs and improve healthcare outcomes, while working to advance skills and education strategies in digitally supported healthcare.

Affiliations and expertise
School of Public Health, La Trobe University, Bundoora, VIC, Australia

PP

Paula Procter

Affiliations and expertise
School of Nursing & Midwifery, University of Sheffield, UK