Health data processing: systemic approaches
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London, UK
ISTE Press Ltd
2018
|
| Subjects: | |
| Online Access: | FHD01 |
| Physical Description: | 1 Online-Ressource (xxx, 310 Seiten) |
| ISBN: | 9780081027585 |
Staff View
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| 100 | 1 | |a Fieschi, Marius |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Health data processing |b systemic approaches |c Marius Fieschi ; with the contribution of Jean-Charles Dufour |
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| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 650 | 4 | |a Health services administration / Data processing | |
| 650 | 4 | |a Medical informatics | |
| 650 | 7 | |a POLITICAL SCIENCE / Public Policy / Social Security |2 bisacsh | |
| 650 | 7 | |a POLITICAL SCIENCE / Public Policy / Social Services & Welfare |2 bisacsh | |
| 650 | 7 | |a Health services administration / Data processing |2 fast | |
| 650 | 7 | |a Medical informatics |2 fast | |
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| author | Fieschi, Marius |
| author_facet | Fieschi, Marius |
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| author_sort | Fieschi, Marius |
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| 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 |
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| id | DE-604.BV045179126 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:50Z |
| institution | BVB |
| isbn | 9780081027585 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030568350 |
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| publishDate | 2018 |
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| publisher | ISTE Press Ltd |
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| spelling | Fieschi, Marius Verfasser aut Health data processing systemic approaches Marius Fieschi ; with the contribution of Jean-Charles Dufour London, UK ISTE Press Ltd 2018 1 Online-Ressource (xxx, 310 Seiten) txt rdacontent c rdamedia cr rdacarrier 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 Health services administration / Data processing Medical informatics POLITICAL SCIENCE / Public Policy / Social Security bisacsh POLITICAL SCIENCE / Public Policy / Social Services & Welfare bisacsh Health services administration / Data processing fast Medical informatics fast Erscheint auch als Druck-Ausgabe 978-1-78548-287-8 |
| spellingShingle | Fieschi, Marius Health data processing systemic approaches 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 Health services administration / Data processing Medical informatics POLITICAL SCIENCE / Public Policy / Social Security bisacsh POLITICAL SCIENCE / Public Policy / Social Services & Welfare bisacsh Health services administration / Data processing fast Medical informatics fast |
| title | Health data processing systemic approaches |
| title_auth | Health data processing systemic approaches |
| title_exact_search | Health data processing systemic approaches |
| title_full | Health data processing systemic approaches Marius Fieschi ; with the contribution of Jean-Charles Dufour |
| title_fullStr | Health data processing systemic approaches Marius Fieschi ; with the contribution of Jean-Charles Dufour |
| title_full_unstemmed | Health data processing systemic approaches Marius Fieschi ; with the contribution of Jean-Charles Dufour |
| title_short | Health data processing |
| title_sort | health data processing systemic approaches |
| title_sub | systemic approaches |
| topic | Health services administration / Data processing Medical informatics POLITICAL SCIENCE / Public Policy / Social Security bisacsh POLITICAL SCIENCE / Public Policy / Social Services & Welfare bisacsh Health services administration / Data processing fast Medical informatics fast |
| topic_facet | Health services administration / Data processing Medical informatics POLITICAL SCIENCE / Public Policy / Social Security POLITICAL SCIENCE / Public Policy / Social Services & Welfare |
| work_keys_str_mv | AT fieschimarius healthdataprocessingsystemicapproaches |