Sistine Ann Barretto
PhD thesis submitted to the department of Information Technology (Research), University of South Australia. June 2005.
Abstract: The recent trend in health care has been on the development and implementation of clinical guidelines to support and comply with evidence-based care. Evidence-based care is established with a view to improve the overall quality of care for patients, reduce costs, and address medico-legal issues. One of the main questions addressed by this thesis is how to support guideline-based care. It is recognised that this is better achieved by taking into consideration the provider workflow. However, workflow support remains a challenging (and hence rarely seen) accomplishment in practice, particularly in the context of chronic disease management (CDM).
Our view is that guidelines can be knowledge-engineered into four main artefacts: electronic health record (EHR) content, computer-interpretable guideline (CiG), workflow and hypermedia. The next question is then how to coordinate and make use of these artefacts in a health information system (HIS). We leverage the EHR since we view this as the core component to any HIS.
We use the openEHR architecture, which allows extension of a core Reference Model via Archetypes, to refine the detailed information recording options for specific points in the healthcare process, to represent decision support information needs, and to represent the composite instruction that is the workflow itself. We present an Instruction Reference Model from which composite instructions can be defined and is an extension to the current openEHR's Instruction model (revision 4.3). We define constructs for the rationale of the decisions made to be recorded explicitly within the record - including the specific guideline step, didacticism, and links to relevant EHR data items that were used to arrive at a decision.
We develop a prototype system that makes use of two key components: the Breeze workflow architecture, and our implementation of the EHR Persistence Layer - both of which interact in the initiation and execution of instructions. We illustrate our approach on two distinct but common CDM scenarios: Early Supported Discharge and associated Post-stroke Rehabilitation, which is process-oriented and less clinical in nature; and Hypertension in Diabetes which is of a highly clinical nature, and decision-based.
We found that there is a real distinction between the roles that guideline-based recommendations provided by CiGs, workflow and EHR play in supporting and managing patient care: (1) CiGs model decision-making steps and recommended actions; (2) workflows model the work to be done for that recommended action, by whom, when and how, and help ensure that it gets done; (3) archetypes help ensure that the appropriate information is collected within the EHR for the workflow. Moreover, the extent to which each of these components can be used in supporting CDM, particularly CiGs and workflow, is dependent on the clinical context in which it is applied.
Our research has implications on various stakeholders. The extended EHR architecture allows the application designer to choose a usable balance of compliance encouragement and human judgment. The ability to track healthcare process steps within the EHR content is also of medico-legal significance. It is envisioned that extensible EHR recording allows the EHR to serve as the basis for care coordination, and potentially improve communication amongst providers and even improve patient health outcomes. Our open framework can be used to further explore the problem of effective support for CDM (such as presentation of hypermedia), and can inform a range of standards bodies (such as HL7), researchers (such as clinical guideline representation and workflow) and vendors about specific requirements for integrating EHR, workflow and guideline-based decision support.
PhD thesis submitted to the Division of Information Technology, Engineering and the Environment. January 2005.
Abstract: Workflow in healthcare, particularly for the shared and coordinated management of chronic illnesses, is very difficult to model. It is also difficult to support via current Clinical Information Systems and current information technologies. This dissertation contributes significant enhancements to the current methodologies for designing and implementing Workflow Management Systems (Wf MSs ) suitable for healthcare. The contribution comprises three interrelated aspects of workflow system architecture as follows:
The language and methods introduced in goal-based requirements engineering research have been carried into the domain of Wf MSs and adapted by the author as a mechanism for deriving workflow models that can be communicated and enacted by health care providers contributing to the shared care of a patient. A methodology is described, whereby a hierarchical goal-based view for the management of a chronic condition or conditions can be automatically translated into a workflow schema. This workflow schema contains subworkflows corresponding to each goal, together with specfic tasks dedicated to monitoring, and, if necessary, altering the downstream workflow to optimally achieve each goal target.
For self-modifying workflow, certain tasks in the workflow schema are devoted to modifying the downstream workflow on an instance by instance basis. Such self-modifying schemas provide the necessary exibility to suit the evolving diagnostic and therapeutic processes encountered in Chronic Disease Management (CDM), particularly in complex areas requiring significant individualisation. The management of Diabetes Mellitus in a community care setting provides an example to illustrate this complexity. In order to facilitate self-modification of workflow schemas, this dissertation enunciates a set of valid operations that can be applied to downstream components of a workflow schema. These operations are primarily concerned with turning abstract subworkflows into concrete ones through completion and alteration of template primitives. There are many situations in inter-organisational health care, where, for a given care process, activities might be undertaken in one clinic that overlap with, or repeat activities undertaken elsewhere. This dissertation proposes solutions to situations where duplicated tests and procedures are costly and can have negative health impacts on patients undergoing unnecessary tests and interventions.
The approach builds on the two-tier goal/process representation of healthcare processes and describes an execution model comprising a candidate discovery phase, followed by a component crediting phase. The notions of full vs. partial crediting, and goal-level vs. activity-level crediting are introduced. The role that temporal constraints play in determining candidate components for crediting is also examined.
Aspects of a prototype Workflow Management System (called StreamLine ) that the author has built, are described in order to illustrate how the approach of goal-based workflow schema derivation, self-modifying worklow schemas, and activity overlap identication and crediting can provide sufficient flexibility and focus to substantially improve the management of complex, chronic conditions.
The author's prototype is tested using the current local work practices for treating Non-Insulin Dependent Diabetes Mellitus involving shared care plans based on Australian guidelines. The dissertation concludes with an assessment of the implications of goalbased, self-modifying, redundancy-reducing workflow models for developers and implementors of Wf MSs as well as for implementors of future Health Information Networks employing such complex workflow solutions.
PhD thesis submitted to Fakultät für Mathematik und Informatik at the Universität Leipzig, 2003.
Abstract: Workflow management is widely accepted as a core technology to support long-term business processes in heterogeneous and distributed environments. However, conventional workflow management systems do not provide sufficient flexibility support to cope with the broad range of failure situations that may occur during workflow execution. In particular, most systems do not allow to dynamically adapt a workflow due to a failure situation, e.g., to dynamically drop or insert execution steps.
As a contribution to overcome these limitations, this dissertation introduces the agent-based workflow management system AGENTWORK. AGENTWORK supports the definition, the execution and, as its main contribution, the event-oriented and semi-automated dynamic adaptation of workflows. Two strategies for automatic workflow adaptation are provided. Predictive adaptation adapts workflow parts affected by a failure in advance (predictively), typically as soon as the failure is detected. This is advantageous in many situations and gives enough time to meet organizational constraints for adapted workflow parts. Reactive adaptation is typically performed when predictive adaptation is not possible. In this case, adaptation is performed when the affected workflow part is to be executed, e.g., before an activity is executed it is checked whether it is subject to a workflow adaptation such as dropping, postponement or replacement. In particular, the following contributions are provided by AGENTWORK.
A Formal Model for Workflow Definition, Execution, and Estimation: In this context, AGENTWORK first provides an object-oriented workflow definition language. This language allows for the definition of a workflow's control and data flow. Furthermore, a workflow's cooperation with other workflows or workflow systems can be specified. Second, AGENTWORK provides a precise workflow execution model. This is necessary, as a running workflow usually is a complex collection of concurrent activities and data flow processes, and as failure situations and dynamic adaptations affect running workflows. Furthermore, mechanisms for the estimation of a workflow's future execution behavior are provided. These mechanisms are of particular importance for predictive adaptation. Mechanisms for Determining and Processing Failure Events and Failure Actions: AGENTWORK provides mechanisms to decide whether an event constitutes a failure situation and what has to be done to cope with this failure. This is formally achieved by evaluating event-condition-action rules where the eventcondition part describes under which condition an event has to be viewed as a failure event. The action part represents the necessary actions needed to cope with the failure. To support the temporal dimension of events and actions, this dissertation provides a novel event-condition-action model based on a temporal object-oriented logic.
Mechanisms for the Adaptation of Affected Workflows: In case of failure situations it has to be decided how an affected workflow has to be dynamically adapted on the node and edge level. AGENTWORK provides a novel approach that combines the two principal strategies reactive adaptation and predictive adaptation. Depending on the context of the failure, the appropriate strategy is selected. Furthermore, control flow adaptation operators are provided which translate failure actions into structural control flow adaptations. Data flow operators adapt the data flow after a control flow adaptation, if necessary.
Mechanisms for the Handling of Inter-Workflow Implications of Failure Situations: AGENTWORK provides novel mechanisms to decide whether a failure situation occurring to a workflow affects other workflows that communicate and cooperate with this workflow. In particular, AGENTWORK derives the temporal implications of a dynamic adaptation by estimating the duration that will be needed to process the changed workflow definition (in comparison with the original definition). Furthermore, qualitative implications of the dynamic change are determined. For this purpose, so-called quality measuring objects are introduced.
All mechanisms provided by AGENTWORK include that users may interact during the failure handling process. In particular, the user has the possibility to reject or modify suggested workflow adaptations. A Prototypical Implementation: Finally, a prototypical CORBA-based implementation of AGENTWORK is described. This implementation supports the integration of AGENTWORK into the distributed and heterogeneous environments of real-world organizations such as hospitals or insurance business enterprises.
PhD thesis (som för avläggande av filosofie doktorsexamen vid Linköpings universitet och tekniska högskola kommer att offentligt försvaras i Eken, Campus US ingång 65, Linköping, torsdagen 5 november 2009, kl. 9.00)
Abstract: The use of Electronic Health Records (EHR) is wide spread in healthcare today. EHRs are not only used to support daily care but also used to support important secondary uses, e.g. clinical research, quality assurance and education. Although considered advantageous compared to paper-based records, EHRs still have a long way to go in realizing its full potential as an integral part of a safe, effective and efficient health care system.
Making EHRs interoperable is a prerequisite to support increasingly distributed and diverse healthcare. Bringing up-to-date knowledge into EHRs for decision support is a critical step to foster evidence based care. EHR data from different sources need to be analyzed in research in order to find new evidence for improvement of the current practice. Knowledge in the form of guidelines needs to be disseminated and applied in practice through continuous education.
This cyclic flow of information and knowledge between care, research and education must be facilitated in order to achieve a safer and more efficient healthcare. An interoperable EHR framework can facilitate the sharing of information and knowledge between not only human users but also participating software systems. This is the aim of this thesis, which is built upon the research in the field of semantic interoperability, in particular the pioneering work by the openEHR Foundation.
The journey of this thesis started with a template-based supplementary EHR system - Julius, which allows clinicians to define and share record structures for care and research. The formalism behind Julius is comparable to the openEHR archetype formalism but less expressive and without the backing of international standards. This finding led to an open source implementation of the openEHR design, which in turn initiated the validation and further improvements of the archetype formalism. The software components made the archetype formalism more accessible to academic and commercial projects around the world.
The investigation of the convertibility between a legacy EHR content model and the archetype model showed that the archetype format is more expressive and thus can be used to preserve legacy EHR content definitions. A general strategy for migration from legacy EHRs to archetype-based EHRs was formulated. A novel way of representing clinical practice guidelines using archetype formalism was proposed and tested on a lymphoma chemotherapy guideline.
The implication of this study is improved interoperability between guidelines and EHRs that could facilitate both clinical decision support and guideline-compliance checking. Maintainability of guidelines could be increased through reuse of EHR content models as building blocks of guidelines. In the last part of the research, a way of expressing fully structured care plans using openEHR and CONTsys has been explored based on the requirements for elderly home care. A sharable and semantically well-defined care plan could contribute to the coordination of shared care.
The key contribution of the thesis can be summarized as the validation and further improvement of the openEHR archetype formalism through software implementation and the explorations on clinical guidelines, shared care plans and legacy EHR content models in relation to archetype-based EHR framework.
Masters Thesis submitted to Department of Medical Informatics, University of Göttingen, Germany, May 2008
Abstract: this thesis reports a case study of an openEHR system at the Emergency Department, Austin Health, Melbourne, and arose from the collaboration with Austin Health, the Austin Centre for Applied Clinical Informatics (ACACI), the Nursing Informatics Group, the Biomedical Engineering Department, the Emergency Department, the Central Queensland University Health Informatics Research Group, Ocean Informatics, and the Department of Medical Informatics (University of Göttingen).
The aim of this thesis is to provide a roadmap for the introduction of an electronic health record system based on the openEHR (http://www.openehr.org) approach for a health service within a public hospital in Australia. The idea of electronic health records (EHRs) was born approximately 40 years ago [GL96] and consequently several concepts were developed. One of these approaches is the ”Good European Health Record” (GEHR) project on which the openEHR Foundation builds.
Over time the openEHR approach has matured, however, there is still a lack of knowledge on how to introduce an openEHR-based system (implementation and migration strategies). To tackle this problem, the thesis gives an overview of the openEHR approach by presenting the history, architecture, and relations to other standards in electronic health care. The patient flow in an emergency department (ED) of a public hospital (Austin Health) is then analysed in regards to the information produced and documented. This thesis investigates how the data items in the ED can be gathered and mapped to openEHR archetypes, thus formally representing the clinical knowledge. The reusable archetypes cover more than 70% of all archetypes needed in the ED. This figure may vary for other departments. It also points at the development of openEHR templates (a combination of archetypes) through utilising mind maps. Using an example of a ventilation system, data can be migrated from proprietary systems and transferred to an openEHR-based data storage. An explanation is given for an openEHR architecture based EHR system, providing the foundation for the implementation of an openEHRbased prototype.
The thesis shows how an openEHR architecture based EHR system can be introduced in practical terms and how this could lead to interoperability within a department.
Submitted to the University of Manchester for the degree of Doctor of Philosophy in the Faculty of Engineering and Physical Sciences, Mar 2008, Supervisor: Prof Alan Rector
Abstract: The thesis presents and evaluates, the Model Standardisation using Terminology Systems (MoST) methodology, for integrating the clinical content in data models and terminology models. The MoST system developed for the purpose, aims to find semantically equivalent SNOMED terminology codes to map to archetype data model fragments. The two key stages of MoST include, (i) term finding, and (ii) data mapping. While the term finding procedure is completely automated, the data mapping procedure is assisted by clinical experts. The research recognises the significance of human intervention in ensuring the quality of the terminology codes being mapped to the data model fragments. Ensuring the quality of the mappings, helps maintain accuracy and unambiguity of coded data. The evaluation of the MoST system shows the importance of incorporating linguistic and semantic procedures, in addition to lexical lookups, to increase the chances of finding semantic matches.
A significant contribution of the thesis is the description of the issues with current Archetype and SNOMED models with regards to the information needed to achieve effective model integration at content level. These issues were highlighted by the qualitative analysis of the evaluation. The issues point to semantic gaps in both the data and terminology models, which inhibit automated systems, such as MoST, from making intelligent inferences on the semantic appropriateness of the content. Suggestions for resolving these issues are detailed, where appropriate. A final contribution of the thesis is the set of guidelines that are suggested to the two modeling (Archetype and SNOMED) communities, to improve the quality of their model content. The hypothesis is that an increase in the content compatibility of the two models will increase the likelihood of the overall integration of the models, to achieve interoperability
Submitted to Department of Information Systems, Middle East Technical University (METU), July 2007, Supervisor: Prof. Dr. Semih Bilgen
Abstract: A major problem to be solved in health informatics is high quality, structured and timely data collection. Standard terminologies and uniform domain conceptual models are important steps to alleviate this problem which are also proposed to enable interoperability among systems. With the aim of contributing to the solution of this problem, this study proposes novel features for the Archetypes and multi-level modeling technique in health information and knowledge modeling. The study consists of the development of a research prototype for endoscopic data management, and based on that experience, the extension of Minimal Standard Terminology in Digestive Endoscopy (MST).
A major contribution of the study consists of significant extensions to the modeling formalism. The proposed modeling approach may be used in the design and development of health information systems based on archetypes for structured data collection, validation and dynamic user interface creation. The thesis work is aimed to make considerable contribution to the emerging Electronic Health Records (EHR) standards and specifications.
Helma van der Linden(a,∗), Tony Austin(b), Jan Talmon(a)
(a) School for Public Health and Primary Care: Caphri, Maastricht University, Maastricht, The Netherlands
(b) CHIME, University College London, United Kingdom
∗ Corresponding author at: Medical Informatics, Maastricht, University, POBOX 616, 6200 MD Maastricht, The Netherlands.
pp213–226 Computer methods and programs in biomedicine 95 (2009)
Background: Future-proof EHR systems must be capable of interpreting information structures for medical concepts that were not available at the build-time of the system. The two-model approach of CEN 13606/openEHR using archetypes achieves this by separating generic clinical knowledge from domain-related knowledge. The presentation of this information can either itself be generic, or require design time awareness of the domain knowledge being employed.
Objective: To develop a Graphical User Interface (GUI) that would be capable of displaying previously unencountered clinical data structures in a meaningful way.
Methods: Through “reasoning by analogy” we defined an approach for the representation and implementation of “presentational knowledge”. A proof-of-concept implementation was built to validate its implementability and to test for unanticipated issues.
Results: A two-model approach to specifying and generating a screen representation for archetype-based information, inspired by the two-model approach of archetypes, was developed. There is a separation between software-related display knowledge and domain- related display knowledge and the toolkit is designed with the reuse of components in mind.
Conclusions: The approach leads to a flexible GUI that can adapt not only to information structures that had not been predefined within the receiving system, but also to novel ways of displaying the information.We also found that, ideally, the openEHR Archetype Definition Language should receive minor adjustments to allow for generic binding.
© 2009 Elsevier Ireland Ltd. All rights reserved.
Chunlan Ma, Heath Frankel, Thomas Beale, Sam Heard
pp 397-401 Proceedings of MedInfo 2007, K. Kuhn et al. (Eds), IOS publishing, 2007.
Abstract: OpenEHR specifications have been developed to standardise the representation of an international electronic health record (EHR). The language used for querying EHR data is not as yet part of the specification. To fill in this gap, Ocean Informatics has developed a query language currently known as EHR Query Language (EQL), a declarative language supporting queries on EHR data. EQL is neutral to EHR systems, programming languages and system environments and depends only on the openEHR archetype model and semantics.
Thus, in principle, EQL can be used in any archetype-based computational context. In the EHR context described here, particular queries mention concepts from the openEHR EHR Reference Model (RM). EQL can be used as a common query language for disparate archetype-based applications. The use of a common RM, archetypes, and a companion query language, such as EQL, semantic interoperability of EHR information is much closer. This paper introduces the EQL syntax and provides example clinical queries to illustrate the syntax. Finally, currentimplementations and future directions are outlined.
Jesus Bisbal, Gerhard Engelbrecht, and Alejandro Frangi
CISTIB - Universitat Pompeu Fabra, and CIBER-BBN, Barcelona, Spain
23RD IEEE International Symposium on Computer-Based Medical Systems (http://www.cbms2010.curtin.edu.au/).
Abstract: Modern organizations need to exploit the information stored in heterogeneous and interrelated data sources, but often have no means to integrate them in a principled fashion. This general database research challenge is particularly relevant in distributed e-Science. Specifically, biomedical research generates a vast amount of heterogeneous data, which exceeds the current technological capacity to exploit it efficiently.
Typically, service-oriented architectures are used in this context to define a unified view over all sources to be integrated. This unified schema needs to be mapped onto the underlying data sources, often including also semantic annotations. This approach suffers from high complexity and setup costs. In this paper we propose a novel application of semantic and mediation technologies, which leads to an incremental and on-demand definition of data mediation services. The so-called archetypes provide the context and semantics needed to setup such services, which significantly simplify their definition.
Lezcano, L., Sicilia, M.A. and Serrano-Balazote, P.
In Proceedings of the First World Summit on the Knowledge Society (WSKS'08), Springer Lecture Notes in Artificial Intelligence, 52880, pp. 80-89.
Abstract:The interoperability of electronic healthcare information systems is critical for a more effective healthcare management. Several specifications and standards have been created for facilitating such interoperability at different levels. Among them, the OpenEHR initiative emphasizes the sharing of flexible specifications of healthcare information pieces in the form of archetypes. However, the OpenEHR ADL language does not provide support for rules and inference which are important pieces of clinical knowledge.
This paper reports on an approach to convert ADL definitions to OWL and then attach rules to the semantic version of the archetypes. This allows for an automated means to reuse knowledge expressed in the form of rules which is also flexible and follows the same philosophy of sharing archetypes.
Garde S, Hovenga E, Buck J, Knaup P
International Journal of Medical Informatics. 76 (S3): S334-S341.
Purpose: The purpose of this paper is to analyse the feasibility and usefulness of expressing clinical data sets (CDSs) as openEHR archetypes. For this, we present an approach to transform CDS into archetypes, and outline typical problems with CDS and analyse whether some of these problems can be overcome by the use of archetypes.
Methods: Literature review and analysis of a selection of existing Australian, German, other European and international CDSs; transfer of a CDS for Paediatric Oncology into openEHR archetypes; implementation of CDSs in application systems.
Results: To explore the feasibility of expressing CDS as archetypes an approach to transform existing CDSs into archetypes is presented in this paper. In case of the Paediatric Oncology CDS (which consists of 260 data items) this lead to the definition of 48 openEHR archetypes. To analyse the usefulness of expressing CDS as archetypes, we identified nine problems with CDS that currently remain unsolved without a common model underpinning the CDS. Typical problems include incompatible basic data types and overlapping and incompatible definitions of clinical content. A solution to most of these problems based on openEHR archetypes is motivated. With regard to integrity constraints, further research is required.
Conclusions: While openEHR cannot overcome all barriers to Ubiquitous Computing, it can provide the common basis for ubiquitous presence of meaningful and computer-processable knowledge and information, which we believe is a basic requirement for Ubiquitous Computing. Expressing CDSs as openEHR archetypes is feasible and advantageous as it fosters semantic interoperability, supports ubiquitous computing, and helps to develop archetypes that are arguably of better quality than the original CDS.
Rahil Qamar, Alan Rector
Medical Informatics Group, University of Manchester, Manchester, U.K.
pp 674-678 Proceedings of MedInfo 2007, K. Kuhn et al. (Eds), IOS publishing, 2007.
Abstract: Matching clinical data to codes in controlled terminologies is the first step towards achieving standardisation of data for safe and accurate data interoperability. The MoST automated system was used to generate a list of candidate SNOMED CT code mappings. The paper discusses the semantic issues which arose when generating lexical and semantic matches of terms from the archetype model to relevant SNOMED codes. It also discusses some of the solutions that were developed to address the issues.
The aim of the paper is to highlight the need to be flexible when integrating data from two separate models. However, the paper also stresses that the context and semantics of the data in either model should be taken into consideration at all times to increase the chances of true positives andreduce the occurrence of false negatives.
Jose A. Maldonado (a), David Moner (a), Diego Tomás (a), Carlos Ángulo (a), Montserrat Robles (a), Jesualdo T. Fernández (b)
(a) Biomedical Informatics Group, ITACA Institute, Technical University of Valencia, Spain
(b) Departamento de Informática y Sistemas, University of Murcia, Spain
pp 454-458 Proceedings of MedInfo 2007, K. Kuhn et al. (Eds), IOS Press, 2007
Abstract:Standardization of data is a prerequisite to achieve semantic interoperability in any domain. This is even more important in the healthcare sector where the need for exchanging health related data among professional and institutions is not an exception but the rule. Currently, there are several international organizations working on the definition of electronic health record architectures, some of them based on a dual-model approach.
We present both an archetype modeling framework and LinkEHR-ED, an archetype editor and mapping tool for transforming existing electronic healthcare data which do not conform to a particular electronic healthcare record architecture into compliant electronic health records extracts. In particular, archetypes in LinkEHR-ED are formal representations of clinical concepts built on a particular reference model but enriched with mapping information to data sources which define how to extract and transform existing data in order to generate standardized XML documents.
Dogac, A., Laleci, G.B., Kabak, Y., Unal, S., Beale, T., Heard, S., Elkin, P.L., Najmi, F., Mattocks, C., Weber, D. and Kernberg, M.
Int. J. Metadata, Semantics and Ontologies, Vol. 1, No. 1, pp.21–36.
Moner, D. Maldonado, J.A. Bosca, D. Fernandez, J.T. Angulo, C. Crespo, P. Vivancos, P.J. Robles, M.
In: Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE. Aug. 2006. pp 5141-5144.
Erik Sundvall, Rahil Qamar, Mikael Nyström, Mattias Forss, Håkan Petersson, Hans Åhlfeldt, Alan Rector.
Semantic Mining Conference 2006.
Garde S, Knaup P, Hovenga EJS, Heard S
Methods of Information in Medicine. 46(3): 332-343. (doi:10.1160/ME5001).
Hovenga E, Garde S, Heard S
Int J Med Inform. 74(11-12): pp886-898.
Bird L, Goodchild A, Heard S
Proceedings HIC 2002 conference.
L. Bird, A. Goodchild, Z. Tun
Journal of Research and Practice in Information Technology 35 (2003).
S. Heard, T. Beale, G. Freriks, A. Rossi-Mori, O. Pishev.
HL7 internal paper, 2003.
In: Eleventh OOPSLA Workshop on Behavioral Semantics: Serving the Customer (Seattle, Washington, USA, November 4, 2002). Edited by Kenneth Baclawski and Haim Kilov. Northeastern University, Boston, 2002, pp. 16-32.
Published on the internet in 2000.
Juan Gómez Romero
2008 Doctoral thesis, Universidad de Granada, Technical School of Engineering Informatics, Department of Science and Computing
This thesis mentions openEHR archetypes in the context of mobilising knowledge in the health sector.
Kifer M, Lausen G, Wu J
JACM May 1995.
The Archetype cADL syntax and semantics are formally speaking a synthesis of F-logic queries with terminology (the node encoding).
Author: Konstantinos Kalliamvakos
Master's Programme in Health Informatics, 2013
Examiner: Sabine Koch PhD, dept of LIME, Karolinska Institutet
Background: The currently existing Guideline Representation Models(GRM) present limitations which hinder the adoption of guideline oriented Clinical Decision Support Systems(CDSS). To overcome these limitations and allow a successful adoption of guideline oriented CDSS standardized GRMs, which can express Clinical Practice Guidelines(CPGs) as Clinical Decision Support(CDS) rules, are needed. Therefore the two standardized GRMs GELLO and GDL have emerged. Even though GDL is currently evaluated in different clinical areas further evaluation is needed to improve and verify its design.
Objectives: The aim is to assess if GDL can be used to successfully represent CPGs as CDS rules in an EHR and to unveil any similarities between the specifications of GELLO and GDL.
Methods: A small part of a severe sepsis and septic shock guideline was modeled using GDL which was then applied to mock patient data to validate GDL. Furthermore the specification of GELLO and GDL were compared against certain criteria to unveil any similarities.
Results: Four GDL guides were produced for the detection and management of severe sepsis and septic shock. Results from the validation of GDL were in line with the mock patient data and results from the comparison of GELLO and GDL revealed two similarities.
Conclusion: The validation indicates that GDL can support the criteria for modeling guidelines in the clinical area of severe sepsis and septic shock; due to limitations this finding cannot be generalized. The comparison of GELLO and GDL revealed similarities regarding the use of the OO approach for their design and the use of a local term binded to an external terminology.
Keywords: Guideline representation models, GDL, GELLO, Clinical decision support systems, HL7, openEHR.
Sebastian Garde (a, b), Carola M. Hullina (b), Rong Chen (c), Thilo Schuler (d), Jana Gränz (a, e), Petra Knaup (f), Evelyn J.S. Hovenga (a)
(a) Health Informatics Research Group, Central Queensland University, Melbourne VIC & Rockhampton, QLD, Australia
(b) Austin Centre for Applied Clinical Informatics, Austin Health, Heidelberg VIC, Australia
(c) Department of Biomedical Engineering, Linköping University, Sweden
(d) Department of Medical Informatics, University of Freiburg, Germany
(e) Faculty of Computer Science, University of Applied Sciences Ulm, Germany
(f) Department of Medical Informatics, University of Heidelberg, Germany
pp 1179-1183 Proceedings MedInfo 2007, K. Kuhn et al. (Eds), IOS Publishing 2007.
Abstract: Health information systems (HIS) in their current form are rarely sustainable. In order to sustain our health information systems and with it our health systems, we need to focus on defining and maintaining sustainable Health Information System building blocks or components. These components need to be easily updatable when clinical knowledge (or anything else) changes, easily adaptable when business requirements or processes change, and easily exchangeable when technology advances. One major prerequisite for this is that we need to be able to define and measure sustainability, so that it can become one of the major business drivers in HIS development.
Therefore, this paper analyses general definitions and indicators for sustainability, and analyses their applicability to HIS. We find that general ‘Emergy analysis’ is one possibility to measure sustainability for HIS. Based on this, we investigate major enablers and inhibitors to sustainability in a highlevel framework consisting of four pillars: clinical, technical, socio-technical, and political/business.
Buck J, Garde S, Kohl C, Knaup-Gregori P
International Journal of Medical Informatics. 78(8): 521-531, 2009
Erik Sundvall, Mikael Nyström, Mattias Forss, Rong Chen, Håkan Petersson, Hans Åhlfeldt
Linköping University, Sweden
pp1043-1047 Proceedings MedInfo 2007, K. Kuhn et al. (Eds), IOS Publishing 2007.
Abstract: This paper describes selected earlier approaches to graphically relating events to each other and to time; some new combinations are also suggested. These are then combined into a unified prototyping environment for visualization and navigation of electronic health records. Google Earth (GE) is used for handling display and interaction of clinical information stored using openEHR data structures and ‘archetypes’. The strength of the approach comes from GE’s sophisticated handling of detail levels, from coarse overviews to fine-grained details that has been combined with linear, polar and region-based views of clinical events related to time. The system should be easy to learn since all the visualization styles can use the same navigation.
The structured and multifaceted approach to handling time that is possible with archetyped openEHR data lends itself well to visualizing and integration with openEHR components is provided in the environment.
Rong Chen (a), Gunnar O Klein (b)
(a) Department of Biomedical Engineering, Linköping University, Sweden
(b) Department of Medicine, Karolinska Institutet, Sweden pp 58-62 Proceedings MedInfo 2007, K. Kuhn et al. (Eds), IOS Publishing 2007
Abstract: The openEHR foundation has developed an innovative design for interoperable and future-proof Electronic Health Record (EHR) systems based on a dual model approach with a stable reference information model complemented by archetypes for specific clinical purposes.
A team from Sweden has implemented all the stable specifications in the Java programming language and donated the source code to the openEHR foundation. It was adopted as the openEHR Java Reference Implementation in March 2005 and released under open source licenses. This encourages early EHR implementation projects around the world and a number of groups have already started to use this code.
The early Java implementation experience has also led to the publication of the openEHR Java Implementation Technology Specification. A number of design changes to the specifications and important minor corrections have been directly initiated by the implementation project over the last two years. The Java Implementation has been important for the validation and improvement of the openEHR design specifications and provides building blocks for future EHR systems.
Helma van der Linden (a), Thilo Schuler (b), Rong Chen (c), Jan Talmon (a)
(a) Medical Informatics, University Maastricht, The Netherlands
(b) Department of Medical Informatics, University of Freiburg, Germany
(c) Department of Biomedical Engineering, Linköping University, Sweden
Proceedings MedInfo 2007, K. Kuhn et al. (Eds), IOS Publishing 2007. (PDF)
Abstract: Semantic interoperability should not only cover system interpretation of incoming information, but should be extended to include screen representation. This article describes a two-model approach to generate a screen representation for archetype-based information, which is inspired by the two-model approach used by openEHR for their archetypes. It provides a separation between software-related display knowledge and domain-related display knowledge and is designed with reuse of components in mind.
This approach leads to a flexible GUI that can adapt not only to information structures that are not predefined within the receiving system and display them in a meaningful way, but also to novel ways of displaying the in-formation.We are working on a proof of concept implementation to vali-date the approach.
Rong Chen, Gösta Enberg, Gunnar O Klein
BMC Medical Informatics and Decision Making 2007,
Niilo Saranummi, David Piggott, DG Katehakis, M Tsiknakis, Knut Bernstein (Eds.)
Includes a chapter by Dipak Kalra, Thomas Beale, Sam Heard on openEHR.
Volume 115 in Health Technology and Informatics series. IOS Press 2005.
Iraklis Varlamis (varlamis AT aueb.gr)
Athens University of Economics and Business, Department of Computer Science
published in eJETA.org Special Issue on Interoperability & Security in Medical Information Systems, May 2007
Abstract: This paper suggests a new approach for the development of healthcare information standards, which is based on widely used and open frameworks. The paper attempts a review of existing standards for healthcare information, analyses their deficiencies and focuses on the need for interoperability. Healthcare information, in order to be useful, has to be well formed, valid and flexible. Healthcare information standards are the pre-requisites for well-formed ness and validity of information. Flexibility expects "plug-and-play" information, which will be operable in any system, any time and any place. A standard that will be accepted world-wide and will cover all possible aspects of healthcare information needs sounds both infeasible and inconvenient due to its size and complexity. A more practicable solution is to provide an interconnection mechanism on top of all existing and future standards. This work specifies the two fundamental problems of information interoperability, which are structure and semantics, and suggests a mechanism that facilitates the integration of existing information, the mutation and transfer of information between healthcare information systems and eases interoperability.
Thomas Beale (a), Sam Heard (b)
(a) CTO Ocean Informatics, visiting Senior Research Fellow, University College London
(b) CEO Ocean Informatics, Adjunct Professor, University Central Queensland
pp 760-764 Proceedings MedInfo 2007, K. Kuhn et al. (Eds), IOS Publishing 2007.
Abstract: In this paper we describe a model of clinical information designed to make health information systems properly interoperable and safely computable. The model is a response to a number of categories of requirements, ranging from the semantic to the performance of software at runtime. We argue that the starting point of a successful model must be an ontological analysis of the process of clinical care delivery, seen as a scientific problem-solving process. From this approach we develop a classification of types of clinical information called the Clinical InvestigatorRecord (CIR) ontology.
UCL (University College London) deposited 24 January 2006
Jim E Demetriades, Robert M Kolodner, Gary A Christopherson (Eds.)
Includes a chapter by Ken Rubin, Thomas Beale, Bernd Blobel on Modelling for Health Care.
François Mennerat (Ed.)
Includes a chapter by Dipak Kalra, Thomas Beale, Sam Heard on openEHR.
IOS Press 2002.
Kalra D (a), Austin A (a), O’Connor A (a), Lloyd D (a), Patterson D (b), Ingram D (a)
(a) University College London, CHIME, Holborn Union Building, Highgate Hill, London, N19 3UA
(b) The Whittington Hospital, Highgate Hill, London N19 5NF
Reprinted from: TEHRE 2001 m-Health Conference Proceedings; Paper 001 11-14 November 2001 Page 1
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