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Process Support and Knowledge Representation in Health Care

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Cover of 'Process Support and Knowledge Representation in Health Care'

Table of Contents

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    Book Overview
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    Chapter 1 The Elicitation, Representation, Application, and Automated Discovery of Time-Oriented Declarative Clinical Knowledge
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    Chapter 2 Rule-Based Combination of Comorbid Treatments for Chronic Diseases Applied to Hypertension, Diabetes Mellitus and Heart Failure
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    Chapter 3 Knowledge-Driven Adaptive Execution of Care Pathways Based on Continuous Planning Techniques
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    Chapter 4 Towards a Realistic Clinical-Guidelines Application Framework: Desiderata, Applications, and Lessons Learned
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    Chapter 5 Data Integration for Clinical Decision Support Based on openEHR Archetypes and HL7 Virtual Medical Record
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    Chapter 6 Semantic Integration of Patient Data and Quality Indicators Based on openEHR Archetypes
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    Chapter 7 A Study of Semantic Proximity between Archetype Terms Based on SNOMED CT Relationships
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    Chapter 8 Distributed Ad Hoc Cooperation in Healthcare
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    Chapter 9 Embedding Conformance Checking in a Process Intelligence System in Hospital Environments
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    Chapter 10 Process Mining in Healthcare: Data Challenges When Answering Frequently Posed Questions
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    Chapter 11 Flexible and Efficient Retrieval of Haemodialysis Time Series
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    Chapter 12 An Approach for Representing and Managing Medical Exceptions in Care Pathways Based on Temporal Hierarchical Planning Techniques
Attention for Chapter 5: Data Integration for Clinical Decision Support Based on openEHR Archetypes and HL7 Virtual Medical Record
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Chapter title
Data Integration for Clinical Decision Support Based on openEHR Archetypes and HL7 Virtual Medical Record
Chapter number 5
Book title
Process Support and Knowledge Representation in Health Care
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-36438-9_5
Book ISBNs
978-3-64-236437-2, 978-3-64-236438-9
Authors

Arturo González-Ferrer, Mor Peleg, Bert Verhees, Jan-Marc Verlinden, Carlos Marcos

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
Spain 2 3%
United Kingdom 1 1%
Unknown 72 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Student > Master 14 18%
Researcher 13 17%
Other 4 5%
Student > Postgraduate 4 5%
Other 14 18%
Unknown 14 18%
Readers by discipline Count As %
Computer Science 47 61%
Engineering 7 9%
Medicine and Dentistry 2 3%
Nursing and Health Professions 1 1%
Decision Sciences 1 1%
Other 3 4%
Unknown 16 21%