Information Technology and Data in Healthcare: Using and Understanding Data, 1st Edition (Hardback) book cover

Information Technology and Data in Healthcare

Using and Understanding Data, 1st Edition

By David Hartzband

Productivity Press

200 pages | 20 B/W Illus.

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Hardback: 9780367183790
pub: 2019-09-13
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Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability 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 about it. The culture of data is also covered and where ‘data’ fits into culture. Then data quality is addressed with a historical appreciation and new concepts and insights derived from the authors 35 years’ experience in technology.

The author also provides a description of what healthcare data analysis is and how its changing in the era of almost unlimited data. Just as important is the topic of what infrastructure is used to provide capability for data use. The book also describes how healthcare information infrastructure needs to change in order to provide for current and future needs. The topics of AI (artificial intelligence) 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.

Table of Contents

Preface. Data is Essential. What is Data? Data and Culture. Data Quality. What is Data Analysis. What Infrastructure and Applications are Required for Analysis? Machine Intelligence and AI in Healthcare. Evolution of Data and Analysis in Healthcare. Summary and Last Thoughts.

About the Author

David Hartzband is currently the Director of Technology Research at the RCHN Community Health Foundation. In his role at the Foundation, he spearheads the organization’s continued evaluation, assessment and findings related to health information technology. Recent projects include deployment of a contemporary (Hadoop-based) analytic stack into community health centers and working with the executive and operations staff to understand and use this resource, design and execution of population health projects at community health centers and Primary Care Associations, the redesign and deployment of updated health information technology infrastructure for a large Primary Care Association and assessment of data quality in electronic health records (EHRs) of healthcare practices.

He brings more than two decades of diverse experience in the private and public sectors as a consultant, executive and technology industry leader. He is founder and principal of PostTechnical Research, a trend analysis and technology strategy consulting firm. Previously he was Technology Vice President of the Collaboration in the Content Management Software Group of the EMC Corporation. He also served as the Chief Technology Officer for several technology companies including Documentum, eRoom Technology, Agile Software, Upstream Consulting and Riverton Software.

He also was a Consulting Software Engineer and senior technologist at the Digital Equipment Corporation from 1983-1995, where he held a variety of positions there including Architect for Digital’s relational database (Rdb) at V1 and V2, architect for ObjectBroker, a distributed object-based development and execution environment, Technical Director for manufacturing software and Chief Scientist for the Artificial Intelligence Technology Group.

He is the author of numerous technical reports and journal articles in mathematics, artificial intelligence, concurrent engineering and cultural anthropology. He has served as an adjunct faculty member at both Stanford University (Computer Science Department and Knowledge Systems Laboratory) and the Massachusetts Institute of Technology (Leaders for Manufacturing Program). He is presently a Research Scholar at the Institute for Data Systems and Society at the Massachusetts Institute of Technology.

About the Series

HIMSS Book Series

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Subject Categories

BISAC Subject Codes/Headings:
BUSINESS & ECONOMICS / Quality Control
BUSINESS & ECONOMICS / Information Management
BUSINESS & ECONOMICS / Production & Operations Management
MEDICAL / Administration
MEDICAL / Health Policy
MEDICAL / Hospital Administration & Care