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Surgical Decision Making, Evidence, and Artificial Intelligence, An Issue of Surgical Clinics
- 1st Edition, Volume 103-2 - March 26, 2023
- Editors: Jason Bingham, Matt Eckert
- Language: English
- Hardback ISBN:9 7 8 - 0 - 3 2 3 - 9 3 9 7 9 - 9
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 3 9 8 0 - 5
In this issue, guest editors bring their considerable expertise to this important… Read more
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Request a sales quoteIn this issue, guest editors bring their considerable expertise to this important topic.
Provides in-depth reviews on the latest updates in the field, providing actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Forthcoming Issues
- Foreword
- Preface
- Big Data in Surgery
- Key points
- Introduction
- Shifting the research paradigm
- Future directions for the use of big data in surgery
- Disclosure
- Clinics care points
- Categories of Evidence and Methods in Surgical Decision-Making
- Key points
- Introduction
- Discussion
- Summary
- Clinics care points
- Clinical Informatics and the Electronic Medical Record
- Key points
- Introduction
- History of the electronic medical record
- Review of clinical informatics and electronic medical record terminology
- Review of machine learning
- Applying the electronic medical record to challenges in surgery
- Limitations to electronic medical record
- Future directions
- Discussion
- Summary
- Clinics care points
- Modern Statistical Methods for the Surgeon Scientist: The Clash of Frequentist versus Bayesian Paradigms
- Key points
- Introduction
- Bayesian statistics—probabilities of outcomes provide opportunities for intuitive results
- Discussion and limitations
- Summary
- Clinics care points
- Disclosure
- Cognitive Bias and Dissonance in Surgical Practice: A Narrative Review
- Key points
- Introduction
- Discussion
- Clinics care points
- Generation Learning Differences in Surgery: Why They Exist, Implication, and Future Directions
- Key points
- Introduction
- The exponential growth of knowledge
- Learning theories
- The knowledge economy
- Discussion
- Summary
- Disclosure
- Machine Learning and Artificial Intelligence in Surgical Research
- Key points
- Background
- Discussion
- Summary
- Clinics care points
- Disclosure
- Interpretation and Use of Applied/Operational Machine Learning and Artificial Intelligence in Surgery
- Key points
- Introduction
- Current Artificial Intelligence Uses and Examples
- Discussion
- Summary
- Clinics care points
- Disclosure
- Beyond the Spreadsheet: Data Management for Physicians in the Era of Big Data
- Key points
- Introduction
- Discussion
- Summary
- Disclosure
- Privacy, Data Sharing, and Other Legal Considerations
- Key points
- Key/essential headings
- Discussion
- Summary
- Disclosure
- Impact of Digital Health upon the Surgical Patient Experience: The Patient as Consumer
- Key points
- Introduction
- Clinical relevance of digital health in surgical care
- Patient- versus provider-driven digital health
- Considerations and controversy
- Future directions
- Summary
- Clinics care points
- No. of pages: 240
- Language: English
- Edition: 1
- Volume: 103-2
- Published: March 26, 2023
- Imprint: Elsevier
- Hardback ISBN: 9780323939799
- eBook ISBN: 9780323939805
JB
Jason Bingham
Affiliations and expertise
Director of Surgical Research, Madigan Army Medical CenterME
Matt Eckert
Affiliations and expertise
Assistant Professor, UNC General and Acute Care Surgery Clinic