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E-grāmata: Realizing the Promise of Precision Medicine: The Role of Patient Data, Mobile Technology, and Consumer Engagement

4.33/5 (5 ratings by Goodreads)
(International Healthcare Innovation Professor, Harvard Medical School and Chief Information Officer, Beth Israel Deaconess Medical Center, Boston, USA), (Clinician, Researcher, Author, Editor, and College Lecturer)
  • Formāts: EPUB+DRM
  • Izdošanas datums: 24-Aug-2017
  • Izdevniecība: Academic Press Inc
  • Valoda: eng
  • ISBN-13: 9780128116364
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Realizing the Promise of Precision Medicine: The Role of Patient Data, Mobile Technology, and Consumer EngagementPalielināt
  • Formāts: EPUB+DRM
  • Izdošanas datums: 24-Aug-2017
  • Izdevniecība: Academic Press Inc
  • Valoda: eng
  • ISBN-13: 9780128116364
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Realizing the Promise of Precision Medicine: The Role of Patient Data, Mobile Technology, and Consumer Engagement explains the potential of personalized medicine and the value of those approaches in making that potential a reality. The book helps transform one-size-fits-all healthcare into a system that focuses on individual needs and the unique needs of each family member, discussing topics such as U.S. sponsored precision medicine initiative, genomics, the role of electronic health records and mobile medicine, patient engagement and empowerment, health information exchange and patient data protection.

In addition, the book discusses the barriers and limitations of precision medicine and how to overcome them. Readers will find valuable insights into how big data, patient engagement, mobile technology, and genomics help individualize medical care and offer a pathway to help detect many undiscovered causes of diseases.

  • Provides drawings and flow charts to help readers visualize the breadth and depth of precision medicine
  • Includes sidebars with more details on specific topics for a complementary, deeper understanding of the main text
  • Uses case studies to turn abstract concepts into flesh and blood examples of how personalized medicine benefits patients

Papildus informācija

Presents tactics on how to transform one-size-fits-all healthcare into a system that focuses on individual patient needs
About the Authors xi
Prologue: Naked Emperors and Supercomputers xiii
1 Population Medicine Versus Personalized Medicine
1(28)
Cure Versus Management
1(3)
The Limitations of Population-Based Medicine
4(1)
Applying the Precision Medicine Model
5(1)
How Does the Precision Medicine Initiative Fit Into the Equation?
6(4)
Putting the Precision Medicine Model to Work Now
10(4)
Understanding the Interlocking Contributors to Disease
14(2)
The Biological Basis for Personalized Medicine
16(7)
The Role of the Microbiome
23(1)
Digital Tools That Enable Precision Medicine
24(2)
References
26(3)
2 Precision Medicine Initiatives and Programs
29(26)
The US Precision Medicine Initiative
30(2)
Managing Data
32(1)
Executing the US Precision Medicine Initiative
33(2)
What Will the Precision Medicine Initiative Reveal?
35(2)
The Age of Biomarkers Is Upon Us
37(3)
Patient Engagement: A Critical Component of Precision Medicine
40(2)
The Value of Precision Medicine Initiative Data Reaches Beyond the US Precision Medicine Initiative Project
42(2)
The Role of Electronic Health Record Data
44(1)
Precision Medicine at Harvard
45(2)
Precision Medicine at Columbia University
47(1)
Johns Hopkins Approach to Individualized Care
47(2)
Mayo Clinic Center for Individualized Medicine
49(1)
Stanford University Emphasizes Patient Engagement
50(2)
References
52(3)
3 The Role of Genomics
55(18)
Genomic Basics
55(4)
Putting Genomics to Use in Precision Medicine
59(2)
Entering the Era of Precision Oncology
61(4)
Is Cancer a Genetic Disease?
65(2)
The Value of Pharmacogenomics
67(1)
The Emerging Science of Nutritional Genomics
68(2)
References
70(3)
4 Small Data, Big Data, and Data Analytics
73(20)
Understanding the Language of Data Analytics
74(3)
Algorithms and Machine Learning
77(1)
Putting Data Analytics to the Test
78(5)
The Role of Big Data in Hypothesis Testing
83(4)
Reconciling Big Data and Randomized Controlled Trials
87(4)
References
91(2)
5 How Mobile Technology and EHRs Can Personalize Healthcare
93(26)
Accessing Patients' "Other" Data
93(2)
The Role of Mobile Technology in Diabetes Control
95(4)
The Role of Mobile Technology in Other Diseases
99(3)
Remote Patient Monitoring
102(6)
Where Do EHRs Fit In?
108(2)
Clinical Decision Support Systems
110(3)
Star Trek-Like Decision-Making Tools
113(2)
References
115(4)
6 i2b2, SHRINE, Clinical Query, and Other Research Tools
119(16)
Taking Informatics for Integrating Biology and the Bedside Into New Territory
121(2)
Shared Health Research Informatics Network Extends the Informatics for Integrating Biology and the Bedside Reach
123(2)
The Impact of Shared Health Research Information Network on Scientific Research
125(2)
Beth Israel Deaconess Medicine and Clinical Query 2
127(2)
Moving Toward a National Network
129(2)
Patient-Centered Outcomes Research Initiatives
131(2)
References
133(2)
7 Barriers and Limitations
135(14)
Does Precision Medicine Cost Too Much?
135(5)
Filling the Genomics Information Gap
140(1)
Addressing the Workload Issue
141(5)
Is There Adequate Scientific Evidence?
146(1)
Additional Barriers to Surmount
147(1)
References
147(2)
8 Interoperability and Personalized Patient Care
149(14)
Defining the Basics and Following a Roadmap
149(2)
What Drives Interoperability?
151(3)
Policy and Technical Components
154(2)
Learning From Our Mistakes
156(2)
Addressing Security Concerns
158(2)
Understanding the Standards That Facilitate Interoperability
160(2)
What Outcomes Can Be Expected?
162(1)
References
162(1)
9 Privacy and Security
163(20)
Keeping Patient Data Safe at the Grassroots Level
163(2)
Insecurity Is Expensive
165(2)
Additional Health Insurance Portability and Accountability Act Violation Expenses
167(1)
Calculating the Cost of Security
167(2)
How Do the HIPAA Regulations Fit In?
169(3)
Taking the Necessary Preventive Measures
172(2)
Passwords, Policies, and Procedures
174(1)
Technological Solutions
175(1)
Applying Security Principles to Precision Medicine Initiative
176(1)
A Case Scenario Requiring Security Protocols
177(3)
References
180(3)
10 Patient and Consumer Engagement
183(12)
Engaging Responsible Patients
184(2)
The Return on Investment
186(1)
Patient Portals Are Not Enough
187(1)
Shared Decision Making
188(2)
Patient-Generated Data and Mobile Engagement
190(2)
Final Thoughts on the Promise of Precision/Personalized Medicine
192(1)
References
193(2)
Index 195
Paul Cerrato, MA, has had over 30 years of experience working in healthcare, as a clinician, researcher, author, editor, and college lecturer. The last 7 years have been spent researching and writing about healthcare technology. He has served as Editor of Information Week Healthcare, Executive Editor of Contemporary OB/GYN, and Senior Editor of RN Magazine. Cerrato is the author of Protecting Patient Information and the co-author with John Halamka of Realizing the Promise of Precision Medicine. He has been named one of the most influential bloggers in healthcare IT by the Healthcare Information and Management Systems Society (HIMSS). John Halamka, MD, serves as the International Healthcare Innovation Professor at Harvard Medical School. He is also Chief Information Officer of the Beth Israel Deaconess System and a practicing emergency physician. Dr. Halamka serves on one of the advisory committees for the Precision Medicine Initiative, which has been funded with $215 million from the U.S. government. He has devoted his career to empowering patients, providers, and payers with mobile-friendly applications exchanging data using international standards.
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