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Efficient Radiology
How to Optimize Radiology Operations
Taschenbuch von Oleg Pianykh (u. a.)
Sprache: Englisch

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Beschreibung
Aiming at building efficient radiology operations, this book walks the reader through the entire radiology workflow, from the moment that the examination is requested to the reporting of findings. Using their practical experience, the authors draw attention to the many elements that can go wrong at each step, and explain how critical analysis and objective metrics can be used to fix broken processes. Readers will learn how to measure the efficiency of their workflows, where to find relevant data, and how to use it in the most productive ways. The book also addresses how data can be turned into insightful operational information to produce organizational change.
All aspects of radiology operations are considered including ordering, scheduling, protocols, checking-in, image acquisition, image interpretation, communication, and billing. The closing section provides a deeper dive into the advanced tools and techniques that are used to analyze operations, including queuing theory, process mining and artificial intelligence.
Aiming at building efficient radiology operations, this book walks the reader through the entire radiology workflow, from the moment that the examination is requested to the reporting of findings. Using their practical experience, the authors draw attention to the many elements that can go wrong at each step, and explain how critical analysis and objective metrics can be used to fix broken processes. Readers will learn how to measure the efficiency of their workflows, where to find relevant data, and how to use it in the most productive ways. The book also addresses how data can be turned into insightful operational information to produce organizational change.
All aspects of radiology operations are considered including ordering, scheduling, protocols, checking-in, image acquisition, image interpretation, communication, and billing. The closing section provides a deeper dive into the advanced tools and techniques that are used to analyze operations, including queuing theory, process mining and artificial intelligence.
Über den Autor

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.

Zusammenfassung
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

Inhaltsverzeichnis

Part 1. A word about numbers.- Mining your own business.- Part 2. Ordering.- Scheduling.-Examinations, Protocols, Autoprotocols.- Arriving for the Examination.- Creating the Imagines.-Image Delivery.- From Images to Reports.- Part 3. Ars Longa, Vita Brevis.

Details
Erscheinungsjahr: 2021
Fachbereich: Andere Fachgebiete
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Wissenschaften
Medium: Taschenbuch
Inhalt: xvi
232 S.
11 s/w Illustr.
92 farbige Illustr.
232 p. 103 illus.
92 illus. in color.
ISBN-13: 9783030536121
ISBN-10: 3030536122
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Pianykh, Oleg
Rosenthal, Daniel
Auflage: 1st edition 2021
Hersteller: Springer International Publishing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 14 mm
Von/Mit: Oleg Pianykh (u. a.)
Erscheinungsdatum: 24.09.2021
Gewicht: 0,388 kg
Artikel-ID: 120495247
Über den Autor

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.

Zusammenfassung
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

Inhaltsverzeichnis

Part 1. A word about numbers.- Mining your own business.- Part 2. Ordering.- Scheduling.-Examinations, Protocols, Autoprotocols.- Arriving for the Examination.- Creating the Imagines.-Image Delivery.- From Images to Reports.- Part 3. Ars Longa, Vita Brevis.

Details
Erscheinungsjahr: 2021
Fachbereich: Andere Fachgebiete
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Wissenschaften
Medium: Taschenbuch
Inhalt: xvi
232 S.
11 s/w Illustr.
92 farbige Illustr.
232 p. 103 illus.
92 illus. in color.
ISBN-13: 9783030536121
ISBN-10: 3030536122
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Pianykh, Oleg
Rosenthal, Daniel
Auflage: 1st edition 2021
Hersteller: Springer International Publishing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 14 mm
Von/Mit: Oleg Pianykh (u. a.)
Erscheinungsdatum: 24.09.2021
Gewicht: 0,388 kg
Artikel-ID: 120495247
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