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Oncology informatics : using health information technology to improve processes and outcomes in cancer /
Oncology Informatics: Using Health Information Technology to Improve Processes and Outcomes in Cancer Care encapsulates National Cancer Institute-collected evidence into a format that is optimally useful for hospital planners, physicians, researcher, and informaticians alike as they collectively str...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, UK :
Academic Press is an imprint of Elsevier,
2016.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Oncology Informatics; Copyright Page; Dedication; Contents; List of Contributors; Foreword; Preface; Introduction; I.1 Why This Book Now?; I.1.1 The Cancer Care Crisis; I.1.2 The Indispensable Role of Informatics; I.1.3 Health IT Adoption and Uptake From the Provider's Perspective; I.1.4 Health IT Adoption and Uptake From the Consumer's Perspective; I.2 The Purpose of This Book; I.2.1 Creating Deep Support for Engaged Patients; I.2.2 Augmenting and Coordinating an Adequately Trained Workforce; I.2.3 Serving as a Platform for Evidence Implementation.
- I.2.4 Enabling a Learning Health Care System in CancerI. 2.5 Speeding Up Processes in Translational Medicine; I.2.6 Promoting Accessible, Affordable Cancer Care; I.3 Organization of the Book; I.3.1 An Extraordinary Opportunity; I.3.2 Support Across the Continuum; I.3.3 The Science of Oncology Informatics; I.3.4 Accelerating Progress; I.4 Conclusion; List of Acronyms and Abbreviations; References; I. An Extraordinary Opportunity; 1 Creating a Learning Health Care System in Oncology; 1.1 The Challenges of Delivering Quality Cancer Care; 1.1.1 Diversity of Cancer and the Cancer Patient Population.
- 1.1.2 The Need for Multidisciplinary Cancer Care1.1.3 The Complexity and Cost of Cancer Care Delivery; 1.2 Overview of Traditional Learning in Cancer Medicine; 1.2.1 Clinical Trials as the Foundation of Evidence-Based Medicine in Cancer; 1.2.2 Limitations of Conventional Clinical Trials; 1.3 The Interface of Quality, Value, and Learning; 1.4 ASCO's Vision for a Rapid Learning System in Oncology: CancerLinQ; 1.5 CancerLinQ Data Architecture; 1.6 History and Current Status of CancerLinQ Implementation; 1.6.1 Background and Prototype Development 2011-12; 1.6.2 CancerLinQ Development 2013-15.
- 1.6.3 CancerLinQ and SAP1.7 CancerLinQ Solution Operating Characteristics; 1.7.1 Data Ingestion; 1.7.2 CancerLinQ Portal; 1.7.3 User Types; 1.7.4 Quality Benchmarking; 1.7.5 Clinical Decision Support; 1.7.6 Other Secondary Uses of Deidentified and/or Limited Data Sets; 1.8 Regulatory Underpinnings of CancerLinQ; 1.8.1 Data Governance Guiding Principles and Policies; 1.9 Summary and Conclusions; List of Acronyms and Abbreviations; Acknowledgments; References; 2 Reducing Cancer Disparities Through Community Engagement: The Promise of Informatics.
- Section 1: Public Health Informatics: Implications on Cancer Health Disparities2.1 Introduction; 2.2 Cancer Health Disparities: An Overview; 2.3 The Role of PHIs in Addressing Cancer Health Disparities; Section 2: CBPR to Inform the Practice of PHIs to Address Health Disparities; Section 3: Examples of Public Health and Health Informatics; 2.4 Example 1: Community Engagement and the Accountability for Cancer Care Through Undoing Racism and Equity Trial (ACCURE ... ; 2.5 Example 2: PHIs and the Chicago CommunityRx Innovation; Section 4: Discussion; 2.6 Challenges for the Field.