Information Technology and Data in Healthcare Using and Understanding Data 1st Edition by David Hartzband ISBN B082FMWQFT 978-0429592201

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ISBN 10: B082FMWQFT
ISBN 13: 978-0429592201
Author: David Hartzband

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital for hospitals and health systems to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it.

This book addresses several topics important to the understanding and use of data in healthcare. First, it provides a formal explanation based on epistemology (theory of knowledge) of what data actually is, what we can know about it, and how we can reason with it. The culture of data is also covered and where it fits into healthcare. Then, data quality is addressed, with a historical appreciation, as well as new concepts and insights derived from the author’s 35 years of experience in technology.

The author provides a description of what healthcare data analysis is and how it is changing in the era of abundant data. Just as important is the topic of infrastructure and how it provides capability for data use. The book also describes how healthcare information infrastructure needs to change in order to meet current and future needs. The topics of artificial intelligence (AI) and machine learning in healthcare are also addressed. The author concludes with thoughts on the evolution of the role and use of data and information going into the future.

Information Technology and Data in Healthcare Using and Understanding Data 1st Table of contents:

1 Introduction – Data Is Essential

2 What Is Data?

Data and Epistemology

What Is Healthcare Data?

A Short Note on Amounts of Data

3 Data and Culture

Data Appreciation and Awareness

Data as Culture

Data in Culture

4 Data Quality

What Is Data Quality?

Data Issues and What Can Be Done about Them?

Data Governance

Issues in Data Governance and More Modern Approaches

Practical Issues and Approaches in Data Quality

Data in Context

Big, Little, Right …

Does Quality Matter?

5 What Is Data Analysis?

What Is Analysis?

What Really Is Analysis?

Asking Questions, Getting Answers

Basic Assumptions of Analysis

Assumptions for What Is Data?

Assumptions for Data and Culture

Assumptions for Data Quality and Governance

Assumptions for Data Analysis

Finally, Performing Analysis

6 The Evolution of Infrastructure and Applications Required for Current and Near-Future HIT

Current HIT

Technical Limitations of the Current System

Context for Technical Limitation

Some Thoughts on Integration

Current Infrastructure Limitations

Summary and Proposed Solution

7 Machine Intelligence in Healthcare

Introduction to AI and Early Important Systems

Examples of Expert and Knowledge-Based Systems

Lessons Learned from Expert and Knowledge-Based Systems

Big Data and Machine Learning

Preliminary Lessons (I Have) Learned from Big Data and Machine Learning

Some Final (Not Really) Thoughts on AI

Finally, the End (of AI and Machine Learning) …

8 Evolution of Data and Analysis in Healthcare

Thinking about Data and Analytics

Healthcare Data in 2 Years … in 5 Years … in 20 Years

Infrastructure

Core Function

Emerging Technology

The Evolution of the Role of Data and Analytics

9 Summary

Word and Phrase Frequency Analysis – This Text

Data and Information

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Tags: David Hartzband, Information Technology, Healthcare Using