scispace - formally typeset
Search or ask a question
Conference

Knowledge Representation for Health-Care 

About: Knowledge Representation for Health-Care is an academic conference. The conference publishes majorly in the area(s): Ontology (information science) & Decision support system. Over the lifetime, 90 publications have been published by the conference receiving 942 citations.

Papers published on a yearly basis

Papers
More filters
Book ChapterDOI
03 Sep 2012
TL;DR: Different types of event data found in current Hospital Information Systems (HISs) are described and, based on this classification, open problems and challenges are discussed that need to be solved in order to increase the uptake of process mining in healthcare.
Abstract: In hospitals, huge amounts of data are recorded concerning the diagnosis and treatments of patients. Process mining can exploit such data and provide an accurate view on healthcare processes and show how they are really executed. In this paper, we describe the different types of event data found in current Hospital Information Systems (HISs). Based on this classification of available data, open problems and challenges are discussed that need to be solved in order to increase the uptake of process mining in healthcare.

159 citations

Book ChapterDOI
03 Sep 2012
TL;DR: A novel method to conformance checking that computes fitness of individual activities in the setting of sparse process execution information, i.e., not all activities of a patient's treatment are logged is introduced.
Abstract: Process intelligence is an effective means to analyze and improve business processes in companies with high degree of automation. Hospitals are also facing high pressure to be profitable with ever decreasing available funds in a stressed healthcare sector, which calls for methods to enable process management and intelligent methods in their daily work. However, traditional process intelligence systems work with logs of execution data that is generated by workflow engines controlling the execution of a process. But the nature of the treatment processes requires the doctors to work with a high freedom of action, rendering workflow engines unusable in this context. In this paper, we introduce a novel method to conformance checking that computes fitness of individual activities in the setting of sparse process execution information, i.e., not all activities of a patient's treatment are logged. We embed this method into a process intelligence approach for hospitals without workflow engines, enabling process monitoring and analysis.

42 citations

Book ChapterDOI
01 Jun 2013
TL;DR: In the SemanticHealthNet Network of Excellence a semantic framework is being built which addresses the goal of semantic interoperability by proposing a generalized methodology of transforming existing resources into "semantically enhanced" ones.
Abstract: The main rationale of biomedical terminologies and formalized clinical information models is to provide semantic standards to improve the exchange of meaningful clinical information. Whereas terminologies should express context-independent meanings of domain terms, information models are built to represent the situational and epistemic contexts in which domain terms are used. In practice, semantic interoperability is encumbered by a plurality of different encodings of the same piece of clinical information. The same meaning can be represented by single codes in different terminologies, pre- and postcoordinated expressions in the same terminology, as well as by different combinations of (partly overlapping) terminologies and information models. Formal ontologies can support the automatically recognition and processing of such heterogeneous but isosemantic expressions. In the SemanticHealthNet Network of Excellence a semantic framework is being built which addresses the goal of semantic interoperability by proposing a generalized methodology of transforming existing resources into "semantically enhanced" ones. The semantic enhancements consist in annotations as OWL axioms which commit to an upper-level ontology that provides categories, relations, and constraints for both domain entities and informational entities. Prospects and the challenges of this approach — particularly human and computational limitations — are discussed.

40 citations

Book ChapterDOI
03 Sep 2012
TL;DR: A rule execution system has been developed which is able to combine treatments of different diseases into a unique comorbid treatment avoiding undesired drug interactions and is checked by health-care professionals of the SAGESSA Health-care group in 20 medical cases.
Abstract: The treatment of patients with several chronic diseases (comorbidities) has become a frequent actuation of health-care professionals in their daily practice. As different treatments are needed for each disease, there is a risk of undesired drug interactions that must be detected and solved using evidence-based medical knowledge. In this paper we have extracted part of this knowledge for the comorbidities of hypertension, diabetes mellitus and heart failure, and we have represented it by means of combination rules. A rule execution system has been developed which is able to combine treatments of different diseases into a unique comorbid treatment avoiding undesired drug interactions. The system has been checked by health-care professionals of the SAGESSA Health-care group in 20 medical cases.

33 citations

Book ChapterDOI
03 Sep 2012
TL;DR: This proposal aims to close the gap between the HL7 and the ISO/CEN 13606 by using an openEHR-based approach and compares data-representation standards through which the PHR could be developed, while considering expressiveness and usability requirements.
Abstract: Clinical Decision Support Systems (CDSS) have gained relevance due to their potential to support patient-centric care, but their deployment still has to overcome barriers to become successful. One of these barriers is the integration of patient data with the CDSS engine, a tough challenge given the need to address interoperability with many different existing systems and medical devices. The MobiGuide project aims to build such a CDSS, providing guideline- based clinical decision support through a Personal Health Record (PHR). This PHR is the main component through which the CDSS could access patient data originating from hospital EMRs and wearable sensors, but it also contains the log of the recommendations provided by the CDSS. Using a case study, we compare data-representation standards through which the PHR could be developed, while considering expressiveness and usability requirements. We propose to develop the PHR by combining openEHR archetypes and the HL7 Virtual Medical Record standard, supported by a service oriented framework for data exchange. This proposal aims to close the gap between the HL7 and the ISO/CEN 13606 by using an openEHR-based approach.

26 citations

Performance
Metrics
No. of papers from the Conference in previous years
YearPapers
20165
201510
201412
201311
201212
201113