Information Technology and Data in Healthcare: Using and Understanding Data

ISBN-13: 9780367183790 / Angielski / Twarda / 2019 / 190 str.

David Hartzband

Opis

This book addresses several topics important to the understanding and use of data in healthcare.

Recenzje

"This volume can serve as an excellent introduction for students preparing to enter health care careers and as an accessible overview for health care leadership. It will be welcomed by all who are interested in the role and quality of data in modern health care. Summing Up: Highly recommended. Lower- and upper-division undergraduates. General readers." ---K. J. Whitehair, independent scholar, CHOICE Reviews

Spis treści

Preface. About the Author. 1. Introduction – Data Is Essential. 2. What is Data? 3. Data and Culture. 4. Data Quality. 5. What Is Data Analysis? 6. The Infrastructure and Applications Required for Current and Near-Future HIT? 7. Machine Intelligence in Healthcare. 8. Evolution of Data and Analysis in Healthcare. 9. Summary. Index.

O autorze

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.