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Efficient Radiology: How to Optimize Radiology Operations (Hardcover)

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$119.99
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Description


Provides hands-on, practical guidance on how to optimize radiology workflow

Covers all steps in the workflow, from ordering to reporting

Offers a great blend of applied data science and operations management in healthcare

About the Author


Daniel I. Rosenthal, MD, is Professor of Radiology at Harvard Medical School, and Associate Radiologist-in-Chief in charge of clinical operations at Massachusetts General Hospital. Dr. Rosenthal's clinical interests have focused on diseases of the skeleton and locomotor system, but his administrative role has included development and implementation of the first practical speech recognition system for medicine, establishment of the first operational teleradiology site offering final interpretations, and creation of the first large scale interpretation site for a clinical trial using electronic imaging. He was the originator of the radiology order entry system with decision support which was used at Massachusetts General Hospital for 15 years. This was the first of its type, and had a profound influence on systems currently in use throughout the country. He is author of more than 200 scientific papers and co-author of three books. Oleg S. Pianykh, PhD, is Assistant Professor of Radiology at Harvard Medical School, and Head of Massachusetts General Hospital's Radiology Medical Analytics Group. Dr. Pianykh received his graduate training in Applied Math and Computer Science, and has been fascinated by developing clinical applications since his student years. His projects have ranged from building state-wide healthcare networks and private healthcare businesses to directing research groups, and from optimizing daily clinical workflow to teaching advanced graduate courses. Extracting practical knowledge and operational rules from clinical data to drive healthcare innovations has become one of the most important directions of his recent work at Massachusetts General Hospital. Dr. Pianykh has also taught several data science classes at Harvard University and abroad.

Product Details
ISBN: 9783030536091
ISBN-10: 3030536092
Publisher: Springer
Publication Date: September 23rd, 2020
Pages: 232
Language: English