AI-Powered Care: Integrating A.I. into Health Professions
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AI is transforming every health profession. This is the guide that prepares you to use it safely, ethically, and effectively.
AI-Powered Care is written specifically for nursing students, pre-med students, allied health professionals, pharmacy students, and practicing clinicians who need practical AI education grounded in clinical reality - not in Silicon Valley optimism. Drawing on the most current 2026 evidence, this textbook addresses every major health profession with discipline-specific guidance, documented case studies, and the ethical frameworks that protect patients.
What you'll master: - How AI diagnostic tools, clinical decision support systems, and predictive analytics are being deployed in hospitals, clinics, and primary care - and what evidence exists for their effectiveness - The HIPAA compliance requirements every clinician must understand before using AI tools with patient data - Documented cases of AI bias in healthcare - including racial disparities in pulse oximetry AI and sepsis prediction - and the clinical governance frameworks that prevent harm - Profession-by-profession AI integration: nursing, medicine, pharmacy, physical therapy, radiology, and more - How to evaluate AI tools for clinical use: the questions every health professional must ask before trusting AI recommendations - Patient communication strategies for AI-assisted care - The career landscape for AI-fluent health professionals: which roles have the highest salary premiums and why
Every chapter includes patient safety case studies, learning objectives, clinical application exercises, and NCLEX-style review questions where appropriate.
Patient safety depends on clinicians who understand AI's capabilities and limitations. This book builds that understanding.
AI-Powered Care is written specifically for nursing students, pre-med students, allied health professionals, pharmacy students, and practicing clinicians who need practical AI education grounded in clinical reality - not in Silicon Valley optimism. Drawing on the most current 2026 evidence, this textbook addresses every major health profession with discipline-specific guidance, documented case studies, and the ethical frameworks that protect patients.
What you'll master: - How AI diagnostic tools, clinical decision support systems, and predictive analytics are being deployed in hospitals, clinics, and primary care - and what evidence exists for their effectiveness - The HIPAA compliance requirements every clinician must understand before using AI tools with patient data - Documented cases of AI bias in healthcare - including racial disparities in pulse oximetry AI and sepsis prediction - and the clinical governance frameworks that prevent harm - Profession-by-profession AI integration: nursing, medicine, pharmacy, physical therapy, radiology, and more - How to evaluate AI tools for clinical use: the questions every health professional must ask before trusting AI recommendations - Patient communication strategies for AI-assisted care - The career landscape for AI-fluent health professionals: which roles have the highest salary premiums and why
Every chapter includes patient safety case studies, learning objectives, clinical application exercises, and NCLEX-style review questions where appropriate.
Patient safety depends on clinicians who understand AI's capabilities and limitations. This book builds that understanding.
Format:Paperback
Language:English
ISBN:B0GWMMCKKM
ISBN13:9798255646982
Release Date:April 2026
Publisher:Independently Published
Length:146 Pages
Weight:0.45 lbs.
Dimensions:0.3" x 6.0" x 9.0"
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