Next-Gen Medicine: Flourishing as a Digital Doctor
Autor Owais Durrani, Robert Glatteren Limba Engleză Hardback – 17 dec 2026
KEY FEATURES:
- Provides actionable frameworks, real-world storytelling, and sustainable strategies for thoughtfully engaging with digital tools
- Tackles the urgent need for digital literacy among healthcare professionals as medicine rapidly evolves with AI, social media, and shifting patient expectations, covering essential topics like digital professionalism, tech evaluation, and media engagement
- Proves to be a practical and relatable resource for early-career physicians navigating modern healthcare’s technological landscape
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Specificații
ISBN-13: 9781041289371
ISBN-10: 1041289375
Pagini: 194
Dimensiuni: 152 x 229 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1041289375
Pagini: 194
Dimensiuni: 152 x 229 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
Professional Practice & DevelopmentCuprins
Preface
Author Biographies
Chapter 1 ◾ The Augmented Physician: How Artificial Intelligence is Reshaping the Identity and Role of the Modern Clinician
1.1 BEYOND REPLACEMENT: UNDERSTANDING AUGMENTATION
1.2 RADIOLOGY: THE VANGUARD OF TRANSFORMATION
1.3 PATHOLOGY: FROM GLASS SLIDES TO DIGITAL INTELLIGENCE
1.4 OPHTHALMOLOGY: AUTONOMOUS AI COMES TO THE CLINIC
1.5 CARDIOLOGY: THE ELECTROCARDIOGRAM REIMAGINED
1.6 WHAT AUGMENTATION MEANS FOR DAILY PRACTICE
1.7 THE PHYSICIAN PERSPECTIVE: FROM FEAR TO PARTNERSHIP
1.8 EMERGENCY MEDICINE AND THE BROADER IMPLICATIONS
1.9 THE PATH FORWARD
Chapter 2 ◾ AI in the Clinical Exam Room: Transforming the Patient Encounter in the Age of Intelligent Medicine
2.1 AI SCRIBES AND THE LIBERATION FROM THE KEYBOARD
2.2 CHART SUMMARIZATION AND THE END OF INFORMATION OVERLOAD
2.3 CLINICAL DECISION SUPPORT AND THE AUGMENTED CLINICAL MIND
2.4 RISK PREDICTION MODELS AND THE FUTURE OF PREVENTIVE MEDICINE
2.4.1 Sepsis Prediction
2.4.2 Fall Risk Prediction
2.4.3 Hospital Readmission Prediction
2.4.4 The Reality of Risk Prediction in Practice
2.5 THE EPIC SEPSIS MODEL AND THE DANGER OF UNVALIDATED AI AT SCALE
2.6 WATSON FOR ONCOLOGY AND THE PERILS OF SYNTHETIC INTELLIGENCE
2.7 THE BLACK BOX PROBLEM AND WHY AI REMAINS FUNDAMENTALLY OPAQUE
2.8 THE BUSINESS AND ADMINISTRATIVE REALITY OF CLINICAL AI
2.9 DISCLOSING AI TO PATIENTS
2.10 THE AUGMENTED PHYSICIAN
Chapter 3 ◾ Workflow, Burnout, and the Invisible Work of Care: Automation, Cognitive Load, and Redesigning Medicine Around Human Limits
Chapter 4 ◾ Ethics, Bias, and Algorithmic Justice
4.1 HOW ALGORITHMS LEARN TO BE BIASED
4.2 THE eGFR ALGORITHM: A CASE STUDY IN ENCODED RACISM
4.3 BEYOND KIDNEY FUNCTION: BIAS ACROSS MEDICAL AI
4.3.1 Risk Prediction and Resource Allocation
4.3.2 Cardiovascular AI and Performance Disparities
4.3.3 Diagnostic AI and Representation Gaps
4.4 WHAT FAIRNESS MEANS IN MEDICINE
4.5 THE TRANSPARENCY PROBLEM: OPENING THE BLACK BOX
4.6 PRIVACY, CONSENT, AND DATA GOVERNANCE
4.7 RECOGNIZING INEQUITABLE ALGORITHMS: A PRACTICAL FRAMEWORK
4.7.1 Ask About the Training Data
4.7.2 Examine Performance Across Subgroups
4.7.3 Understand What the Algorithm is Predicting
4.7.4 Look for Race-Based Adjustments
4.7.5 Monitor Real-World Performance
4.7.6 Listen to Patients and Frontline Staff
4.8 WHAT PHYSICIANS CAN DO: ADVOCACY AND ACTION
4.8.1 Participate in Procurement Decisions
4.8.2 Demand Institutional Accountability
4.8.3 Advocate Through Professional Societies
4.8.4 Educate Yourself and Others
4.8.5 Contribute to Better Data
4.8.6 Be Willing to Question Algorithms
4.8.7 Support Patients Who Question AI
4.9 THE PATH FORWARD: TOWARD ALGORITHMIC JUSTICE
Chapter 5 ◾ Safety, Accountability, and Regulation: Responsibility, Validation, and Oversight in the Age of Clinical Artificial Intelligence
Chapter 6 ◾ Reimagining Medical Education and Training: How Artificial Intelligence Is Redefining What Physicians Must Know in the Twenty-First Century
Chapter 7 ◾ New Competencies for the Digital Doctor: Data Literacy, Algorithmic Judgment, Prompt Design, and Human–AI Collaboration in Modern Clinical Practice
Chapter 8 ◾ Digital Bedside Manner and Patient Trust: Preserving the Human Connection in a Technology-Driven Clinical Environment
8.1 THE PARADOX OF PRESENCE IN THE DIGITAL AGE
8.2 EXPLAINING AI TO PATIENTS: TRANSPARENCY WITHOUT ANXIETY
8.3 ADDRESSING THE FEAR OF REPLACEMENT
8.4 SHARED DECISION MAKING IN THE AGE OF ALGORITHMS
8.5 THE EFFICIENCY TRAP AND THE ILLUSION OF TIME SAVED
8.6 WHEN TECHNOLOGY FAILS: MAINTAINING TRUST THROUGH TRANSPARENCY
8.7 THE FUTURE OF BEDSIDE MANNER IN AN AI-AUGMENTED WORLD
Chapter 9 ◾ Personalized, Data-Rich, and Population-Level Care: Artificial Intelligence, Genomics, Wearables, and the Future of Precision Health
9.1 INTRODUCTION: MEDICINE AT THE INTERSECTION OF DATA, BIOLOGY, AND INTELLIGENCE
9.2 FROM REACTIVE MEDICINE TO PREDICTIVE HEALTH SYSTEMS
9.3 GENOMICS AND THE FOUNDATIONS OF PRECISION MEDICINE
9.4 POLYGENIC RISK SCORES AND DISEASEPREDICTION
9.5 PHARMACOGENOMICS AND TREATMENT OPTIMIZATION
9.6 MULTI-OMICS AND SYSTEMS-LEVEL DISEASE MODELING
9.7 WEARABLES AND CONTINUOUS PHYSIOLOGIC MONITORING
9.8 CARDIOVASCULAR MONITORING
9.9 INFECTIOUS DISEASE FORECASTING
9.10 BEHAVIORAL AND MENTAL HEALTH MONITORING
9.11 REAL-WORLD DATA AND LEARNING HEALTH SYSTEMS
9.12 REGULATORY APPLICATIONS OF REAL-WORLD EVIDENCE
9.13 CONTINUOUS LEARNING HEALTH INFRASTRUCTURE
9.14 POPULATION HEALTH ANALYTICS AND PRECISION PUBLIC HEALTH
9.15 SOCIAL DETERMINANTS OF HEALTH
9.16 ENVIRONMENTAL EXPOSURE MODELING
9.17 MULTIMODAL FOUNDATION MODELS IN HEALTHCARE
9.18 DIGITAL TWINS AND PREDICTIVE PATIENT SIMULATION
9.19 COLLABORATIVE LEARNING AND PRIVACY-PRESERVING COLLABORATION
9.20 ALGORITHMIC BIAS AND EQUITY IN PRECISION MEDICINE
9.21 REGULATORY SCIENCE AND ADAPTIVE ALGORITHMS
9.22 THE ROLE OF PHYSICIANS IN DATA-RICH CLINICAL ECOSYSTEMS
9.23 THE ROLE OF DATA ENGINEERS IN PRECISION HEALTH INFRASTRUCTURE
9.24 ETHICAL FRAMEWORKS FOR RESPONSIBLE PRECISION HEALTH
9.25 THE FUTURE OF INTEGRATED PREDICTIVE HEALTH ECOSYSTEMS
Chapter 10 ◾ Physicians as Designers and Stewards of AI: Leadership, Governance, and the Clinician’s Role in Shaping Responsible Technology
10.1 THE PROCUREMENT MEETING
10.2 FROM PASSIVE USERS TO ACTIVE LEADERS
10.3 THE PHYSICIAN-LED PROCUREMENT PROCESS
10.3.1 Clinical Validity
10.3.2 Equity and Fairness
10.3.3 Clinical Utility
10.3.4 Workflow Integration
10.3.5 Transparency and Explainability
10.3.6 Vendor Transparency and Support
10.3.7 Implementation and Monitoring Plan
10.3.8 Exit Strategy
10.4 BUILDING INSTITUTIONAL AI GOVERNANCE
10.4.1 AI Ethics and Oversight Committees
10.4.2 Equity Impact Assessment
10.4.3 Clinical Decision Support Governance
10.4.4 Transparency and Documentation Requirements
10.4.5 Governance for AI Development
10.4.6 Resource Allocation
10.5 PHYSICIANS SHAPING AI DEVELOPMENT
10.5.1 Advisory Roles with Meaningful Authority
10.5.2 Contributing to Training Data Development
10.5.3 Partnership in Research and Development
10.5.4 Building Centers of Excellence
10.6 PROFESSIONAL SOCIETIES AS STANDARDS SETTERS
10.6.1 Developing Clinical Practice Guidelines and Appropriate Use Criteria
10.6.2 Issuing Position Statements and Advocacy
10.6.3 Providing Education and Training
10.7 PHYSICIAN ADVOCACY IN POLICY AND REGULATION
10.7.1 FDA Engagement
10.7.2 CMS and Payer Engagement
10.7.3 Legislative Advocacy
10.8 BUILDING PHYSICIAN AI LITERACY
10.8.1 Medical School Curriculum
10.8.2 Residency and Fellowship Training
10.8.3 Continuing Medical Education
10.8.4 Leadership Training
10.8.5 Ongoing Learning Culture
INDEX
Author Biographies
Chapter 1 ◾ The Augmented Physician: How Artificial Intelligence is Reshaping the Identity and Role of the Modern Clinician
1.1 BEYOND REPLACEMENT: UNDERSTANDING AUGMENTATION
1.2 RADIOLOGY: THE VANGUARD OF TRANSFORMATION
1.3 PATHOLOGY: FROM GLASS SLIDES TO DIGITAL INTELLIGENCE
1.4 OPHTHALMOLOGY: AUTONOMOUS AI COMES TO THE CLINIC
1.5 CARDIOLOGY: THE ELECTROCARDIOGRAM REIMAGINED
1.6 WHAT AUGMENTATION MEANS FOR DAILY PRACTICE
1.7 THE PHYSICIAN PERSPECTIVE: FROM FEAR TO PARTNERSHIP
1.8 EMERGENCY MEDICINE AND THE BROADER IMPLICATIONS
1.9 THE PATH FORWARD
Chapter 2 ◾ AI in the Clinical Exam Room: Transforming the Patient Encounter in the Age of Intelligent Medicine
2.1 AI SCRIBES AND THE LIBERATION FROM THE KEYBOARD
2.2 CHART SUMMARIZATION AND THE END OF INFORMATION OVERLOAD
2.3 CLINICAL DECISION SUPPORT AND THE AUGMENTED CLINICAL MIND
2.4 RISK PREDICTION MODELS AND THE FUTURE OF PREVENTIVE MEDICINE
2.4.1 Sepsis Prediction
2.4.2 Fall Risk Prediction
2.4.3 Hospital Readmission Prediction
2.4.4 The Reality of Risk Prediction in Practice
2.5 THE EPIC SEPSIS MODEL AND THE DANGER OF UNVALIDATED AI AT SCALE
2.6 WATSON FOR ONCOLOGY AND THE PERILS OF SYNTHETIC INTELLIGENCE
2.7 THE BLACK BOX PROBLEM AND WHY AI REMAINS FUNDAMENTALLY OPAQUE
2.8 THE BUSINESS AND ADMINISTRATIVE REALITY OF CLINICAL AI
2.9 DISCLOSING AI TO PATIENTS
2.10 THE AUGMENTED PHYSICIAN
Chapter 3 ◾ Workflow, Burnout, and the Invisible Work of Care: Automation, Cognitive Load, and Redesigning Medicine Around Human Limits
Chapter 4 ◾ Ethics, Bias, and Algorithmic Justice
4.1 HOW ALGORITHMS LEARN TO BE BIASED
4.2 THE eGFR ALGORITHM: A CASE STUDY IN ENCODED RACISM
4.3 BEYOND KIDNEY FUNCTION: BIAS ACROSS MEDICAL AI
4.3.1 Risk Prediction and Resource Allocation
4.3.2 Cardiovascular AI and Performance Disparities
4.3.3 Diagnostic AI and Representation Gaps
4.4 WHAT FAIRNESS MEANS IN MEDICINE
4.5 THE TRANSPARENCY PROBLEM: OPENING THE BLACK BOX
4.6 PRIVACY, CONSENT, AND DATA GOVERNANCE
4.7 RECOGNIZING INEQUITABLE ALGORITHMS: A PRACTICAL FRAMEWORK
4.7.1 Ask About the Training Data
4.7.2 Examine Performance Across Subgroups
4.7.3 Understand What the Algorithm is Predicting
4.7.4 Look for Race-Based Adjustments
4.7.5 Monitor Real-World Performance
4.7.6 Listen to Patients and Frontline Staff
4.8 WHAT PHYSICIANS CAN DO: ADVOCACY AND ACTION
4.8.1 Participate in Procurement Decisions
4.8.2 Demand Institutional Accountability
4.8.3 Advocate Through Professional Societies
4.8.4 Educate Yourself and Others
4.8.5 Contribute to Better Data
4.8.6 Be Willing to Question Algorithms
4.8.7 Support Patients Who Question AI
4.9 THE PATH FORWARD: TOWARD ALGORITHMIC JUSTICE
Chapter 5 ◾ Safety, Accountability, and Regulation: Responsibility, Validation, and Oversight in the Age of Clinical Artificial Intelligence
Chapter 6 ◾ Reimagining Medical Education and Training: How Artificial Intelligence Is Redefining What Physicians Must Know in the Twenty-First Century
Chapter 7 ◾ New Competencies for the Digital Doctor: Data Literacy, Algorithmic Judgment, Prompt Design, and Human–AI Collaboration in Modern Clinical Practice
Chapter 8 ◾ Digital Bedside Manner and Patient Trust: Preserving the Human Connection in a Technology-Driven Clinical Environment
8.1 THE PARADOX OF PRESENCE IN THE DIGITAL AGE
8.2 EXPLAINING AI TO PATIENTS: TRANSPARENCY WITHOUT ANXIETY
8.3 ADDRESSING THE FEAR OF REPLACEMENT
8.4 SHARED DECISION MAKING IN THE AGE OF ALGORITHMS
8.5 THE EFFICIENCY TRAP AND THE ILLUSION OF TIME SAVED
8.6 WHEN TECHNOLOGY FAILS: MAINTAINING TRUST THROUGH TRANSPARENCY
8.7 THE FUTURE OF BEDSIDE MANNER IN AN AI-AUGMENTED WORLD
Chapter 9 ◾ Personalized, Data-Rich, and Population-Level Care: Artificial Intelligence, Genomics, Wearables, and the Future of Precision Health
9.1 INTRODUCTION: MEDICINE AT THE INTERSECTION OF DATA, BIOLOGY, AND INTELLIGENCE
9.2 FROM REACTIVE MEDICINE TO PREDICTIVE HEALTH SYSTEMS
9.3 GENOMICS AND THE FOUNDATIONS OF PRECISION MEDICINE
9.4 POLYGENIC RISK SCORES AND DISEASEPREDICTION
9.5 PHARMACOGENOMICS AND TREATMENT OPTIMIZATION
9.6 MULTI-OMICS AND SYSTEMS-LEVEL DISEASE MODELING
9.7 WEARABLES AND CONTINUOUS PHYSIOLOGIC MONITORING
9.8 CARDIOVASCULAR MONITORING
9.9 INFECTIOUS DISEASE FORECASTING
9.10 BEHAVIORAL AND MENTAL HEALTH MONITORING
9.11 REAL-WORLD DATA AND LEARNING HEALTH SYSTEMS
9.12 REGULATORY APPLICATIONS OF REAL-WORLD EVIDENCE
9.13 CONTINUOUS LEARNING HEALTH INFRASTRUCTURE
9.14 POPULATION HEALTH ANALYTICS AND PRECISION PUBLIC HEALTH
9.15 SOCIAL DETERMINANTS OF HEALTH
9.16 ENVIRONMENTAL EXPOSURE MODELING
9.17 MULTIMODAL FOUNDATION MODELS IN HEALTHCARE
9.18 DIGITAL TWINS AND PREDICTIVE PATIENT SIMULATION
9.19 COLLABORATIVE LEARNING AND PRIVACY-PRESERVING COLLABORATION
9.20 ALGORITHMIC BIAS AND EQUITY IN PRECISION MEDICINE
9.21 REGULATORY SCIENCE AND ADAPTIVE ALGORITHMS
9.22 THE ROLE OF PHYSICIANS IN DATA-RICH CLINICAL ECOSYSTEMS
9.23 THE ROLE OF DATA ENGINEERS IN PRECISION HEALTH INFRASTRUCTURE
9.24 ETHICAL FRAMEWORKS FOR RESPONSIBLE PRECISION HEALTH
9.25 THE FUTURE OF INTEGRATED PREDICTIVE HEALTH ECOSYSTEMS
Chapter 10 ◾ Physicians as Designers and Stewards of AI: Leadership, Governance, and the Clinician’s Role in Shaping Responsible Technology
10.1 THE PROCUREMENT MEETING
10.2 FROM PASSIVE USERS TO ACTIVE LEADERS
10.3 THE PHYSICIAN-LED PROCUREMENT PROCESS
10.3.1 Clinical Validity
10.3.2 Equity and Fairness
10.3.3 Clinical Utility
10.3.4 Workflow Integration
10.3.5 Transparency and Explainability
10.3.6 Vendor Transparency and Support
10.3.7 Implementation and Monitoring Plan
10.3.8 Exit Strategy
10.4 BUILDING INSTITUTIONAL AI GOVERNANCE
10.4.1 AI Ethics and Oversight Committees
10.4.2 Equity Impact Assessment
10.4.3 Clinical Decision Support Governance
10.4.4 Transparency and Documentation Requirements
10.4.5 Governance for AI Development
10.4.6 Resource Allocation
10.5 PHYSICIANS SHAPING AI DEVELOPMENT
10.5.1 Advisory Roles with Meaningful Authority
10.5.2 Contributing to Training Data Development
10.5.3 Partnership in Research and Development
10.5.4 Building Centers of Excellence
10.6 PROFESSIONAL SOCIETIES AS STANDARDS SETTERS
10.6.1 Developing Clinical Practice Guidelines and Appropriate Use Criteria
10.6.2 Issuing Position Statements and Advocacy
10.6.3 Providing Education and Training
10.7 PHYSICIAN ADVOCACY IN POLICY AND REGULATION
10.7.1 FDA Engagement
10.7.2 CMS and Payer Engagement
10.7.3 Legislative Advocacy
10.8 BUILDING PHYSICIAN AI LITERACY
10.8.1 Medical School Curriculum
10.8.2 Residency and Fellowship Training
10.8.3 Continuing Medical Education
10.8.4 Leadership Training
10.8.5 Ongoing Learning Culture
INDEX
Notă biografică
Dr. Owais Durrani board-certified emergency medicine physician and on-air medical analyst based in Houston, Texas, who has spent his career translating the frontlines of medicine for the public. He serves as Chief Medical Officer of Lapsi Health, the company behind the Keikku clinical AI platform, working at the leading edge of how artificial intelligence is built, validated, and brought to the bedside.
He holds a Stanford artificial intelligence certification and sits on the AI Council at Memorial Hermann Hospital. An Emmy-nominated broadcaster, he hosts STEM City on KPRC NBC Houston and is a regular medical contributor for CNN, MSNOW, and BBC, bringing a frontline clinical perspective to breaking health news and public health policy.
His interests include clinical artificial intelligence and decision support, public health communication, digital health, regulatory reform, and health equity, with a particular focus on extending quality care to
rural and underserved communities. A University of Texas alumnus, Dr. Durrani maintains a multi-state medical license portfolio spanning more than three dozen jurisdictions and is a longtime advocate for
science communication and the responsible integration of technology
into patient care.
Dr. Robert Glatter is an emergency medicine physician based in New York City, known for his expertise in acute care for over 25 years. He is on staff at Lenox Hill Hospital and maintains an appointment as assistant professor at the Zucker School of Medicine at Hofstra/Northwell. His interests include a focus on artificial intelligence, traumatic brain injury, dementia and Alzheimer’s disease, space medicine, toxicology, infectious disease, nutrition, obesity medicine, along with innovative medical technologies. He previously served on the board of directors of CaringKind, a longstanding organization providing care to patients with Alzheimer’s disease and other forms of dementia. A frequent contributor to Healio, Forbes, Medpage Today, Medscape, Time Magazine, MS Now, NBC, HealthLine, and other outlets, he writes
about health, wellness, and medical breakthroughs, drawing from over two decades of clinical experience. Dr. Glatter is also an advocate for patient safety and healthcare policy reform.
He holds a Stanford artificial intelligence certification and sits on the AI Council at Memorial Hermann Hospital. An Emmy-nominated broadcaster, he hosts STEM City on KPRC NBC Houston and is a regular medical contributor for CNN, MSNOW, and BBC, bringing a frontline clinical perspective to breaking health news and public health policy.
His interests include clinical artificial intelligence and decision support, public health communication, digital health, regulatory reform, and health equity, with a particular focus on extending quality care to
rural and underserved communities. A University of Texas alumnus, Dr. Durrani maintains a multi-state medical license portfolio spanning more than three dozen jurisdictions and is a longtime advocate for
science communication and the responsible integration of technology
into patient care.
Dr. Robert Glatter is an emergency medicine physician based in New York City, known for his expertise in acute care for over 25 years. He is on staff at Lenox Hill Hospital and maintains an appointment as assistant professor at the Zucker School of Medicine at Hofstra/Northwell. His interests include a focus on artificial intelligence, traumatic brain injury, dementia and Alzheimer’s disease, space medicine, toxicology, infectious disease, nutrition, obesity medicine, along with innovative medical technologies. He previously served on the board of directors of CaringKind, a longstanding organization providing care to patients with Alzheimer’s disease and other forms of dementia. A frequent contributor to Healio, Forbes, Medpage Today, Medscape, Time Magazine, MS Now, NBC, HealthLine, and other outlets, he writes
about health, wellness, and medical breakthroughs, drawing from over two decades of clinical experience. Dr. Glatter is also an advocate for patient safety and healthcare policy reform.
Descriere
This book is a practical guide for medical students, residents, and early-career physicians navigating today's tech-driven healthcare landscape. As an emergency physician and media contributor, the author bridges clinical training with modern practice demands.