Screen LibraryHealth data processing : systemic approaches /
Health Data Processing: Systemic Approaches focuses on the design of health information systems and touches on the main themes of medical informatics and public health. The book is written for health professionals in practice or training, and is especially useful for decision-makers or future decisi...
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| Main Authors: | |
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| Corporate Authors: | |
| Published: |
ISTE Press Ltd ; Elsevier Ltd,
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| Publisher Address: | London, UK : Oxford, UK : |
| Publication Dates: | 2018. |
| Literature type: | eBook |
| Language: | English |
| Series: |
Health industrialization set
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| Subjects: | |
| Online Access: |
https://www.sciencedirect.com/science/book/9781785482878 |
| Summary: |
Health Data Processing: Systemic Approaches focuses on the design of health information systems and touches on the main themes of medical informatics and public health. The book is written for health professionals in practice or training, and is especially useful for decision-makers or future decision-makers in the field of health information systems. Users will find sections on the question of reusing data for other purposes, protection of individual liberties that this data and technologies make more acute, and the irruption of large masses of genetic data and its related problems. This book develops the methodological and conceptual aspects related to these issues. |
| Carrier Form: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9780081027585 0081027583 |
| Index Number: | RA971 |
| CLC: | R197.32 |
| Contents: |
Front Cover; Dedication; Health Data Processing: Systemic Approaches; Copyright; Contents; Preface; Introduction; Memorization of information intended for a single category of actors or a single specialty is of little added value; The complexity of human activity cannot find satisfactory answers in siloed systems; Confronting the heterogeneity of data and systems; Reusing data is necessary and provides high added value; Design and implementation of flexible information systems; Modeling as a way of responding to issues of flexibility; Modeling to develop Principles for analyzing and implementing flexible information systemsCurrent implementation of these principles; Strategic alignment of information systems is confirmed but all too often not achieved; 1. Understanding the Fundamental Nature of Information and its Processing; 1.1. Introduction; 1.2. Data, knowledge and information; 1.3. Data structures; 1.4. Data models; 1.5. Qualities that make information valuable; 1.6. Improving the quality of data; 1.7. Uses of patient data; 1.8. Processing information, applications, components and processes; 2. A Few Questions on Information Sharing 2.1. Introduction2.2. Twelve questions for better defining sharing and its objectives; 2.3. Organization of information sharing is a prerequisite of technological choice; 2.4. Summary and conclusion; 3. The Place of Healthcare Delivery Processes in Information Systems; 3.1. Introduction; 3.2. The concept of the process; 3.3. Modeling and the presentation of processes; 3.4. Processes and procedures; 3.5. Interests and limitations of the process-based approach; 3.6. Conclusion; 4. The Quality of the Urbanization of the Information System is Central to its Performance; 4.1. Introduction 4.2. Changes to the scope of information systems must be anticipated4.3. The dimensions of interoperability; 4.4. Interoperability is central to the development of practices; 4.5. The shared reference terminology of information systems; 4.6. Conclusion; 5. Reference Terminologies in Healthcare Information Systems; 5.1. Introduction; 5.2. The management of reference terminologies must comply with the rules of best practice; 5.3. Specialized reference terminologies; 5.4. General purpose reference terminologies 5.5. Implementing reference terminologies in the context of urbanizing information systems5.6. Conclusion; 6. Patient Identification in Healthcare Information Systems; 6.1. Introduction; 6.2. Basic concepts in patient identification; 6.3. Establishing a unique, common and universal identifying number would be ideal; 6.4. The proposed solutions focus on a simple identification model and efficient and reliable matching of identities; 6.5. The de-identification of data; 7. Information System Security and Data Protection; 7.1. Introduction: the need for security |