Population Health and Preventive Architecture
Dr. Mei-Ling Chen
LeMay Publishing
HEALTHCARE
Population Health and Preventive Architecture
Population Health12,918 words67 chapters
Published by LeMay Publishing. 12,918 words across 67 chapters.
About This Publication
An examination of how population-scale health data can be integrated into preventive infrastructure, challenging the response-oriented architecture of modern healthcare with data-driven prevention models.
Published by LeMay Publishing, a division of LeMay. Massachusetts.
ISBN: 979-8-0000-7019-2
Chapters
1POPULATION HEALTH AND PREVENTIVE ARCHITECTURE
2Integrating Population-Scale Health Data into Preventive Infrastructure
3ABOUT THE AUTHOR
4PREFACE
5TABLE OF CONTENTS
6CHAPTER 1
7The Structural Deficit of Reactive Medicine
81.1 The Historical Construction of Reactive Systems
91.2 The Epidemiological Paradox
101.3 The Cost Architecture of Reaction
111.4 The Data Gap in Reactive Systems
121.5 The Imperative for Structural Redesign
13CHAPTER 2
14Conceptual Foundations of Preventive Architecture
152.1 Defining Preventive Architecture
162.2 Theoretical Lineage
172.3 The Preventive Spectrum Reconsidered
182.4 Architecture as Metaphor and Method
192.5 The Population as Unit of Design
20CHAPTER 3
21Population-Scale Health Data: Sources, Integration, and Infrastructure
223.1 The Data Ecosystem for Population Health
233.2 Challenges of Data Integration
243.3 Infrastructure Requirements
253.4 Case Example: Integrated Data Infrastructure in Practice
26CHAPTER 4
27Predictive Analytics and the Anticipatory Health System
284.1 From Descriptive to Predictive Population Health
294.2 Machine Learning in Population Health Prediction
304.3 The Anticipatory Health System in Practice
314.4 Limitations and Cautions
32CHAPTER 5
33Geospatial Determinants and Place-Based Preventive Design
345.1 The Geography of Health Determinants
355.2 Geospatial Analytics for Preventive Architecture
365.3 Designing Place-Based Preventive Infrastructure
375.4 Equity and the Spatial Distribution of Prevention
38CHAPTER 6
39Governance, Ethics, and the Politics of Population Data
406.1 Privacy and Consent in Population Data Systems
416.2 Surveillance, Power, and the Social Contract
426.3 Algorithmic Bias and Health Equity
436.4 Principles of Ethical Governance
44CHAPTER 7
45Financing Preventive Architecture: From Volume to Value to Anticipation
467.1 The Limitations of Volume-Based Financing
477.2 Value-Based Payment as Transitional Architecture
487.3 Anticipatory Financing Models
497.4 The Investment Horizon Problem
50CHAPTER 8
51Workforce and Institutional Redesign for Preventive Systems
528.1 The Workforce Gap
538.2 Institutional Reconfiguration
548.3 Training and Professional Development
55CHAPTER 9
56Implementation Science and the Deployment of Preventive Infrastructure
579.1 Implementation Science Frameworks
589.2 Phased Implementation Strategy
599.3 Barriers and Enablers
60CHAPTER 10
61Toward an Anticipatory Health Commons
6210.1 The Commons Framework
6310.2 Design Principles for the Anticipatory Health Commons
6410.3 The Moral Argument
6510.4 A Research Agenda
6610.5 Conclusion
67BIBLIOGRAPHY