| Description |
1 online resource : illustrations |
| Series |
Healthcare delivery in the information age |
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Healthcare delivery in the information age.
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| Contents |
Intro; Dedication; Foreword; Preface; Epilogue; Contents; Part I: Research Design and Methodologies; Chapter 1: Design Science Research Opportunities in Health Care; 1.1 Design Science Research Concepts; 1.2 Healthcare Challenges and Design Science Research; 1.3 A Survey of Recent DSR Projects in Health Care; 1.3.1 Medical Systems; 1.3.2 Clinical Protocols; 1.3.3 Medical Devices; 1.3.4 Electronic Medical Records (EMRs); 1.3.5 Healthcare Data Analytics; 1.3.6 Healthcare Governance; 1.3.7 Healthcare Delivery Services; 1.3.8 Public Health and Preventive Care; 1.3.9 Pharmaceutical Systems |
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1.3.10 Miscellaneous1.4 Healthcare Case Vignettes; 1.4.1 Vignette A: Sensors for Monitoring Blood Glucose; 1.4.2 Vignette B: Calorie Cruncher; 1.5 Discussion; 1.6 Conclusions; References; Chapter 2: Using a Survey Methodology to Measure User Satisfaction with Clinical Information Systems; 2.1 Introduction; 2.2 Methods; 2.3 Results; 2.3.1 CIS User Satisfaction; 2.3.2 Training and Technical Support Satisfaction; 2.4 Discussion; 2.5 Conclusion; References; Chapter 3: Application of Hermeneutics in Understanding New Emerging Technologies in Health Care: An Example from mHealth Case Study |
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3.1 Introduction3.2 Hermeneutics; 3.3 An Example of Hermeneutics in an mHealth Case Study Research; 3.4 Conclusion; References; Chapter 4: IS/IT Governance in Health Care: An Integrative Model; 4.1 Introduction; 4.2 Literature Review; 4.2.1 IS/IT Governance; 4.2.2 Value and Business Value; 4.3 Research Objective and Research Questions; 4.4 Research Design and Methodology; 4.4.1 Research Methodology; 4.4.2 Research Strategy: Case Study; 4.4.3 Data Collection and Analysis; 4.5 Findings; 4.5.1 The IS/IT Governance Structure in Place; 4.5.2 The Impact of Adopting This IS/IT Governance Approach |
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4.5.3 The Factors That Affect IS/IT Governance in Health Care4.5.3.1 People Factors; 4.5.3.2 Process Factors; 4.5.3.3 Technology Factors; 4.6 How to Build Robust IS/IT Governance Practices; 4.7 Discussion; 4.8 Conclusion; References; Chapter 5: Predictive Analytics in Health Care: Methods and Approaches to Identify the Risk of Readmission; 5.1 Introduction; 5.2 Background; 5.2.1 Predictive Analytics; 5.2.2 Application Areas; 5.2.2.1 Sales and Marketing; 5.2.2.2 Insurance; 5.2.2.3 Finance; 5.2.2.4 Law Enforcement; 5.2.2.5 Health Care; 5.3 Risk Prediction Models in Health Care; 5.3.1 Overview |
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5.3.1.1 Sample Size5.3.1.2 Split Ratio; 5.3.1.3 Object of Investigation; 5.3.1.4 Readmission Period; 5.3.1.5 Independent Variables; 5.3.1.6 Issues; 5.3.2 Methods; 5.3.2.1 Regression Analysis; 5.3.2.2 Support Vector Machines (SVMs); 5.3.2.3 Decision Trees (DT); 5.3.2.4 Random Forests (RF); 5.3.2.5 Artificial Neural Networks (ANN); 5.3.3 Evaluation of Methods; 5.4 Discussion; References; Chapter 6: An Ontology for Capturing Pervasive Mobile Solution Benefits in Diabetes Care: Insights from a Longitudinal Multi-country Study; 6.1 Background |
| Summary |
This unifying volume offers a clear theoretical framework for the research shaping the emerging direction of informatics in health care. Contributors ground the reader in the basics of informatics methodology and design, including creating salient research questions, and explore the human dimensions of informatics in studies detailing how patients perceive, respond to, and use health data. Real-world examples bridge the theoretical and the practical as knowledge management-based solutions are applied to pervasive issues in information technologies and service delivery. Together, these articles illustrate the scope of health possibilities for informatics, from patient care management to hospital administration, from improving patient satisfaction to expanding the parameters of practice. Highlights of the coverage: · Design science research opportunities in health care · IS/IT governance in health care: an integrative model · Persuasive technologies and behavior modification through technology: design of a mobile application for behavior change · The development of a hospital secure messaging and communication platform: a conceptualization · The development of intelligent patient-centric systems for health care · An investigation on integrating Eastern and Western medicine with informatics Interest in Theories to Inform Superior Health Informatics Research and Practice cuts across academia and the healthcare industry. Its audience includes healthcare professionals, physicians and other clinicians, practicing informaticians, hospital administrators, IT departments, managers, and management consultants, as well as scholars, researchers, and students in health informatics and public health |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed April 25, 2018) |
| Subject |
Medical informatics -- Research
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Medical care -- Research.
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Medicine -- Data processing.
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Medical informatics.
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Medical care.
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Mathematical models.
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Medical Informatics
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Delivery of Health Care
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Models, Theoretical
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Research Design
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Medical Informatics Applications
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Patient Care
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mathematical models.
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HEALTH & FITNESS -- Holism.
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HEALTH & FITNESS -- Reference.
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MEDICAL -- Alternative Medicine.
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MEDICAL -- Atlases.
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MEDICAL -- Essays.
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MEDICAL -- Family & General Practice.
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MEDICAL -- Holistic Medicine.
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MEDICAL -- Osteopathy.
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Medicine -- Data processing
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Medical informatics
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Medical care
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Mathematical models
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Medical care -- Research
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| Form |
Electronic book
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| Author |
Wickramasinghe, Nilmini, editor.
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Schaffer, Jonathan L., editor
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| LC no. |
2018936903 |
| ISBN |
9783319722870 |
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3319722875 |
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