Digital Health, AI and Generative AI in Healthcare : A Concise, Practical Guide for Clinicians / edited by Terry Adirim.

Format:

Book

Contributor:

Adirim, Terry., Editor.

Series:

Medicine Series

Language:

English

Subjects (All):

Biomedical engineering.

Medicine--Practice.

Medicine.

Hospitals--Administration.

Hospitals.

Internal medicine.

Surgery.

Medical policy.

Emergency medicine.

Medical and Health Technologies.

Practice and Hospital Management.

Internal Medicine.

General Surgery.

Health Policy.

Emergency Medicine.

Local Subjects:

Medical and Health Technologies.

Practice and Hospital Management.

Internal Medicine.

General Surgery.

Health Policy.

Emergency Medicine.

Physical Description:

1 online resource (IX, 220 p. 12 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

The purpose of this title is to provide a comprehensive foundation for all medical professionals and healthcare-professions students in understanding Artificial Intelligence (AI). With the advent of generative AI, including the release of Open AI’s ChatGPT in 2022, the world entered a new age of rapid advancements in technology that will significantly change the way clinicians practice medicine, operate healthcare institutions, and conduct research. At the heart of this penetrating book is the idea that medical schools, medical training programs and other health education institutions must undertake a key role in developing AI literacy for clinicians across the spectrum of medical education that includes all health professions. Moreover, assert the authors, AI literacy should be incorporated within medical school curriculums as a core competency, as well as into graduate medical education training programs and continuing medical education courses. This timely and easy-to-read guide offers a wide range of chapters that discuss the core concepts and issues relating to AI in medicine, including a basic understanding of algorithms, machine learning, large language models and natural language processing, the limits and pitfalls of AI, ethical and legal issues, the evolving regulatory landscape around AI, as well as how AI is currently being used in healthcare, to name just several compelling topics. Additionally, AI technologies will change how medical school curriculums are delivered and how student competencies are assessed, maintain the authors. Therefore, medical educators will not only need to rethink how and what medical information is conveyed to students during formal instruction, but also must be prepared for AI-powered programs being used to assess students and trainees for the purpose of licensure and board certification. A timely and soon-to-be gold standard resource in the field, Digital Health, AI, and Generative AI: A Concise Practical Guide for Clinicians will be of great interest to medical professionals, trainees, administrators, policymakers, and anyone interested in the fast-evolving intersection of digital technologies and healthcare. .

Contents:

Part 1 Foundations of Digital Health and AI

1. The History of Digital Health and Artificial Intelligence

2. Digital Health Technologies: Telehealth and Remote Monitoring

3. Health Informatics

4. Artifical Intelligence Fundamentals

5. Generative AI

Part 2 AI Use Cases in Medicine, Administration and Research

6. Trends in the Use of Generative AI for Clinical Care, Administration, and Research

7. AI in Pediatric Healthcare: Clinical Applications

8. AI in Pediatric Healthcare: Unique Considerations

9. AI for Public Heath

Part 3 Responsible Use of AI in Healthcare

10. Responsible Use of AI: Ethics, Biases and Fairness

11. AI Technology and the Digital Divide

12. AI Legal and Privacy Issues in the Use of AI In Healthcare

13. Cybersecurity Challenges of Digital Health and AI in Healthcare

14. AI in Healthcare and the U.S. and Global Regulatory Landscape

Part 4 Implementing Digital and AI Technologies in Medical Education and Clinical Settings

15. Implementing AI into Health Systems, Hospitals and Your Practice: Preparing for Change

16. Digital Technology for Medical Education.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-83526-3

OCLC:

1519120349