Knowledge Representation for Health Care

Name: Knowledge Representation for Health Care | AIME 2015 International Joint Workshop, KR4HC/ProHealth 2015, Pavia, Italy, June 20, 2015, Revised Selected Papers
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AIME 2015 International Joint Workshop, KR4HC/ProHealth 2015, Pavia, Italy, June 20, 2015, Revised Selected Papers

David Riaño Richard Lenz Silvia Miksch Mor Peleg Manfred Reichert Annette ten Teije(Herausgeber*in)

Springer (Verlag)

Erschienen am 21. November 2015

XIV, 159 Seiten

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978-3-319-26585-8 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents
Knowledge-Driven Health IT and Simulation
Evolution and Revolution in Knowledge-Driven Health IT: A 50-Year Perspective and a Look Ahead
Abstract
1 Introduction
2 Conflicting Paradigms
3 A Selective Five-Decade Historical Review from a Personal Perspective
3.1 The 1960s
3.2 The 1970s
3.3 The 1980s
3.4 The 1990s
3.5 The 2000s
4 The Current Period: Mid-2000s Onward -- A Time of Multiple Disruptions
5 Enabling a New ``Ecosystem'' for Health IT
6 Knowledge Resource Needs
7 Conclusions
References
A Patient Simulation Model Based on Decision Tables for Emergency Shocks
1 Introduction
2 Formalization of the Treatment of Shock
3 The Patient Simulation Model
3.1 The Action Module
3.2 The Patient Module
3.3 The Iteration System
4 Application of the Patient Simulation Model
5 Discussion and Conclusions
References
Clinical Guideline and Clinical Pathway Support
META-GLARE: A Meta-Engine for Executing Computer Interpretable Guidelines
Abstract
1 Introduction
1.1 Origin and Motivation of the META-GLARE Approach
1.2 Methodology and Advantages of the META-GLARE Approach
2 META-GLARE Architecture
3 CIG Execution Meta-Engine
4 Control Attributes
4.1 Control Attributes of Nodes
4.2 Control Attributes of Arcs
5 META-GLARE in Action
6 Related Works, Conclusions, and Future Work
Acknowledgements
Appendix
References
Identifying Evidence Quality for Updating Evidence-Based Medical Guidelines
1 Introduction
2 Evidence-Based Medical Guidelines and Identification of Evidence Quality
3 An Approach to Identifying All Evidence Classes
4 Experiments and Evaluation
5 Discussion and Conclusions
References
Answer Set Programming for Temporal Conformance Analysis of Clinical Guidelines Execution
1 Introduction
2 Input to the Framework
3 Execution Model
3.1 Taking BMK into Account
4 Conformance Analysis
4.1 ASP Representation
5 Conclusions and Related Work
References
Towards a Pathway-Based Clinical Cancer Registration in Hospital Information Systems
1 Introduction
2 Domain-Specific Modeling Language for CPs in the Realm of Multi-Perspective Hospital Modeling
3 Documentation and Data Structures for Cancer Registration
4 Integration of Data Structures into the DSML4CPs' Specification
5 Exemplary Application
6 Conclusions
References
A Mixed-Initiative Approach to the Conciliation of Clinical Guidelines for Comorbid Patients
Abstract
1 Introduction
2 GLARE and Comorbidities: Previous Work
3 Interaction Management Options
4 A Mixed-Initiative Methodology for CIG Conciliation
5 Copying with Patient's Status
6 Related Work and Conclusions
Acknowledgments
References
Mobile Process and Decision Support
Implementation of a Distributed Guideline-Based Decision Support Model Within a Patient-Guidance Framework
Abstract
1 Introduction
1.1 The Need for Distributed Decision Support
1.2 The Distributed Decision Support Model in the MobiGuide Project
1.3 Aspects Affecting the Distribution of Decision-Support
2 Specifying the Guideline in the Terms of a Distributed DSS
2.1 Choosing Projected Plans in the GL
2.2 Definition of Appropriate Callbacks
3 The Projection Engine
3.1 Declarative Projections
3.2 Procedural Projections
3.3 Implementation of Personalization with Dynamic Projections
3.4 Evaluation of the Projection Model
4 Summary and Discussion
Acknowledgements
References
A Quality-of-Data Aware Mobile Decision Support System for Patients with Chronic Illnesses
Abstract
1 Introduction
2 Formalizing Clinical Guidelines
3 Distributed Decision Support
4 The Quality-of-Data Aware mDSS
5 The Quality-of-Data Broker
6 The Mobile Decision Support System
7 Discussion and Conclusions
Acknowledgments
References
Health Information Systems and Clinical Data
Data Quality by Contract -- Towards an Architectural View for Data Quality in Health Information Systems
Abstract
1 Introduction
2 Related Work
3 Data Quality by Contract
3.1 A Functional Theory for Reasoning About Clinical DQ
3.2 Reasoning About DQ
3.3 DQ Flow Modelling During System Design
3.4 DQ Monitoring with DQ Probes
4 Deploying DQ Probes in Practice
4.1 DQ Probes for Constraining Use Case Input (Pre-Condition)
4.2 DQ Probes for Assuring Use Case Output (Post-Condition)
5 Application Case Study: Physicians Data Collaborative of BC
6 Discussion
7 Conclusion
References
Author Index

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