Decision support, knowledge representation and management: a balancing act between clinical use and implementation of sophisticated reasoning techniques? Findings from the section on decision support, knowledge representation and management.

OBJECTIVES: To position the papers selected for the IMIA Yearbook 2007 in the context of current research in decision support, knowledge representation and management. METHOD: Synopsis of the articles selected for the IMIA Yearbook 2007. RESULTS: In the Yearbook 2007 the best paper selection of the section Decision support, Knowledge management in Representation' shows, that the evaluation of the influence of decision support on medical behavior and outcome is as important as research on new reasoning technologies and methods. CONCLUSIONS: The best paper selection process shows on the one hand that there is still a deep gap between rather small decision support solutions successfully evaluated in clinical environments and more complex decision support systems using sophisticated reasoning techniques, but lack of clinical use. On the other hand the implementation of decision support systems today benefits from research done in the last decades.

Decision support, knowledge representation and management: A broad methodological spectrum. Findings from the Decision Support, Knowledge Representation and Management.

OBJECTIVES: To summarize current excellent research in the field of decision support, knowledge management and representation. METHODS: Synopsis of the articles selected for the IMIA Yearbook 2006. RESULTS: Decision Support, Knowledge Representation and Management covers a broad spectrum of methods applied to a variety of medical problems and domains. Some particularly interesting and current topics were picked for the IMIA Yearbook 2006: the importance of ontologies for systematic system engineering of decision support systems, syndromic surveillance based on natural language processing, the evaluation of large semantic networks, and a comprehensive ontology for a randomised controlled trial database to support evidence-based practise. CONCLUSIONS: The best paper selection shows that methods for decision support, knowledge representation and management can decisively contribute to the solution of many different medical problems, but also that there is still a lot of exiting research to be done.

Modeling interdependencies between information processes and communication paths in hospitals.

OBJECTIVES: For planning hospital information systems it is important to recognize the interrelation between business processes and the communication needs between supporting application systems. We therefore present an approach to model, visualize and analyze those interdependencies. METHODS: The approach is based on the concepts defined in 3LGM2, a meta-model to describe health information systems (HIS). An information process is defined as a sequence of functions using or updating information; a communication path as a sequence of communication links between interfaces belonging to application systems. The search for communication paths belonging to an information process is interpreted as an all-pairs shortest-paths problem. To solve this problem the Floyd-Warshall algorithm is applied. RESULTS: The resulting algorithm has been implemented as function of the 3LGM2 tool, a tool to create 3LGM2 compliant models. With it, it is possible to interactively define information processes at the domain layer and to analyze step by step whether the infrastructure at the logical tool layer is sufficient to communicate necessary data between application systems. CONCLUSIONS: The presented approach enables the representation and analysis of dependencies between information processes and communication paths. With it, the HIS architecture is directly associated with the business needs. This is an important condition for the systematic planning of hospital information systems.

The challenge of ubiquitous computing in health care: technology, concepts and solutions. Findings from the IMIA Yearbook of Medical Informatics 2005.

OBJECTIVES: To review recent research efforts in the field of ubiquitous computing in health care. To identify current research trends and further challenges for medical informatics. METHODS: Analysis of the contents of the Yearbook on Medical Informatics 2005 of the International Medical Informatics Association (IMIA). RESULTS: The Yearbook of Medical Informatics 2005 includes 34 original papers selected from 22 peer-reviewed scientific journals related to several distinct research areas: health and clinical management, patient records, health information systems, medical signal processing and biomedical imaging, decision support, knowledge representation and management, education and consumer informatics as well as bioinformatics. A special section on ubiquitous health care systems is devoted to recent developments in the application of ubiquitous computing in health care. Besides additional synoptical reviews of each of the sections the Yearbook includes invited reviews concerning E-Health strategies, primary care informatics and wearable healthcare. CONCLUSIONS: Several publications demonstrate the potential of ubiquitous computing to enhance effectiveness of health services delivery and organization. But ubiquitous computing is also a societal challenge, caused by the surrounding but unobtrusive character of this technology. Contributions from nearly all of the established sub-disciplines of medical informatics are demanded to turn the visions of this promising new research field into reality.

Preparing strategic information management plans for hospitals: a practical guideline SIM plans for hospitals: a guideline.

OBJECTIVES: Systematic information management in hospitals demands for a strategic information management plan (SIM plan). As preparing a SIM plan is a considerable challenge we provide a practical guideline that is directly applicable when a SIM plan is going to be prepared. METHODS: The guideline recommends a detailed structure of a SIM plan and gives advice about its content and the preparation process. It may be used as template, which can be adapted to the individual demands of any hospital. RESULTS: The guideline was used in several hospitals preparing a SIM plan. Experiences showed that the SIM plans could be prepared very efficiently and timely using the guideline, that the proposed SIM plan structure suited well, that the guideline offers enough flexibility to meet the requirements of the individual hospitals and that the specific recommendations of the guideline were very helpful. CONCLUSIONS: Nevertheless, we must strive for a more comprehensive theory of strategic information management planning which -- in the sense of enterprise architecture planning -- represents the intrinsic correlations of the different parts of a SIM plan to a greater extent.

Modeling Hospital Information Systems (Part 2): using the 3LGM2 tool for modeling patient record management.

OBJECTIVES: We introduce the 3LGM(2) tool, a tool for modeling information systems, and describe the process of modeling parts of the hospital information system of the Leipzig University Hospital (UKL(a)). We modeled the sub information systems of five patient record archiving sections to support the creation of a proposal for governmental financial support for a new document management and archiving system. We explain the steps of identifying the model elements and their relations as well as the analyzing capabilities of the 3LGM(2) tool to answer questions about the information system. METHODS: The 3LGM(2) tool was developed on the basis of the meta model 3LGM(2) which is described in detail in [1]. 3LGM(2) defines an ontological basis, divided into three layers and their relationships. In addition to usual meta CASE tools, the 3LGM(2) tool meets certain requirements of information management in hospitals. The model described in this article was created on the base of on-site surveys in five archiving sections of the UKL. RESULTS: A prototype of the 3LGM(2) tool is available and is currently tested in some projects at the UKL and partner institutions. The model presented in this article is a structured documentation about the current state of patient record archiving at the UKL. The analyzing capabilities of the 3LGM(2) tool help to use the model and to answer questions about the information system. CONCLUSIONS: The 3LGM(2) tool can be used to model and analyze information systems. The presentation capabilities and the reliability of the prototype have to be improved. The initial modeling effort of an institution is only valuable if the model is maintained regularly and reused in other projects. Reference catalogues and reference models are needed to decrease this effort and to support the creation of comparable models.

Towards clinical bioinformatics: advancing genomic medicine with informatics methods and tools.

OBJECTIVES: To summarize the challenges facing clinical applications in the light of growing research results in genomic medicine and bioinformatics. METHODS: Analysis of the contents of the Yearbook of Medical Informatics 2004 of the International Medical Informatics Association (IMIA). RESULTS: The Yearbook of Medical Informatics 2004 includes 32 articles selected from 22 peer-reviewed scientific journals. A special section on clinical bioinformatics highlights recent developments in this field. Several guest editors review the promises and limitations of available methods and resources from biomedical informatics that are relevant to clinical medicine. Integrated data and knowledge resources are generally regarded to be central and key issues for clinical bioinformatics. Further review papers deal with public health implications of bioinformatics, knowledge management and trends in health care education. The Yearbook includes for the first time a section on the history of medical informatics, where the significant impact of the Reisensburg protocol 1973 on international health and medical informatics education is examined. CONCLUSIONS: Close collaboration between bioinformatics and medical informatics researchers can contribute to new insights in genomic medicine and contribute towards the more efficient and effective use of genomic data to advance clinical care.

Modeling hospital information systems. Part 1: The revised three-layer graph-based meta model 3LGM2.

OBJECTIVES: Not only architects but also information managers need models and modeling tools for their subject of work. Especially for supporting strategic information management in hospitals, the meta model 3LGM2 is presented as an ontological basis for modeling the comprehensive information system of a hospital (HIS). METHODS: In a case study, requirements for modeling HIS have been deduced. Accordingly 3LGM2 has been designed to describe HIS by concepts on three layers. The domain layer consists of enterprise functions and entity types, the logical tool layer focuses on application components and the physical tool layer describes physical data processing components. In contrast to other approaches a lot of inter-layer-relationships exist. 3LGM2 is defined using the Unified Modeling Language (UML). RESULTS: Models of HIS can be created which comprise not only technical and semantic aspects but also computer-based and paper-based information processing. A software tool supporting the creation of 3LGM2 compliant models in a graphical way has been developed. The tool supports in detecting those shortcomings at the logical or the physical tool layers which make it impossible to satisfy the information needs at the domain layer. 3LGM2 can also be used as an ontology for describing HIS in natural language. CONCLUSIONS: Strategic information management even in large hospitals should be and can be supported by dedicated methods and tools. Although there have been good experiences with 3LGM2 concerning digital document archiving at the Leipzig University Hospital, which are presented in part 2, the benefit of the proposed method and tool has to be further evaluated.

Medical informatics and the quality of health: new approaches to support patient care - findings from the IMIA Yearbook of Medical Informatics 2003.

OBJECTIVES: The Yearbook of Medical Informatics is published annually by the International Medical Informatics Association (IMIA) and contains a selection of excellent papers on medical informatics research which have been recently published (http://www. yearbook.uni-hd.de). The 2003 Yearbook of Medical Informatics took as its theme the role of medical informatics for the quality of health care. In this paper, we will discuss challenges for health care, and the lessons learned from editing IMIA Yearbook 2003. RESULTS AND CONCLUSIONS: Modern information processing methodology and information and communication technology have strongly influenced our societies and health care. As a consequence of this, medical informatics as a discipline has taken a leading role in the further development of health care. This involves developing information systems that enhance opportunities for global access to health services and medical knowledge. Informatics methodology and technology will facilitate high quality of care in aging societies, and will decrease the possibilities of health care errors. It will also enable the dissemination of the latest medical and health information on the web to consumers and health care providers alike. The selected papers of the IMIA Yearbook 2003 present clear examples and future challenges, and they highlight how various sub-disciplines of medical informatics can contribute to this.

Strategic information management plans: the basis for systematic information management in hospitals.

Information management in hospitals is a complex task. In order to reduce complexity, we distinguish strategic, tactical, and operational information management. This is essential, because each of these information management levels views hospital information systems from different perspectives, and therefore uses other methods and tools. Since all these management activities deal only in part with computers, but mainly with human beings and their social behavior, we define a hospital information system as a sociotechnical subsystem of a hospital. Without proper strategic planning it would be a matter of chance, if a hospital information system would fulfil the information strategies goals. In order to support strategic planning and to reduce efforts for creating strategic plans, we propose a practicable structure.

A UML-based ontology for describing hospital information system architectures.

To control the heterogeneity inherent to hospital information systems the information management needs appropriate hospital information systems modeling methods or techniques. This paper shows that, for several reasons, available modeling approaches are not able to answer relevant questions of information management. To overcome this major deficiency we offer an UML-based ontology for describing hospital information systems architectures. This ontology views at three layers: the domain layer, the logical tool layer, and the physical tool layer, and defines the relevant components. The relations between these components, especially between components of different layers make the answering of our information management questions possible.

Purpose and structure of strategic plans for information management in hospitals.

Information management in hospitals requires a strategic plan that gives directives for the construction and development of a hospital information system. The paper describes the purpose and a suggested structure for those strategic plans. This structure is a central component for a guideline that may be used for creating and updating strategic plans.

An integrated approach for a knowledge-based clinical workstation: architecture and experience.

Today, the demand for medical decision support to improve the quality of patient care and to reduce costs in health services is generally recognized. Nevertheless, decision support is not yet established in daily routine within hospital information systems which often show a heterogeneous architecture but offer possibilities of interoperability. Currently, the integration of decision support functions into clinical workstations is the most promising way. Therefore, we first discuss aspects of integrating decision support into clinical workstations including clinical needs, integration of database and knowledge base, knowledge sharing and reuse and the role of standardized terminology. In addition, we draw up functional requirements to support the physician dealing with patient care, medical research and administrative tasks. As a consequence, we propose a general architecture of an integrated knowledge-based clinical workstation. Based on an example application we discuss our experiences concerning clinical applicability and relevance. We show that, although our approach promotes the integration of decision support into hospital information systems, the success of decision support depends above all on an adequate transformation of clinical needs.

The LBI-method for automated indexing of diagnoses by using SNOMED. Part 2. Evaluation.

We present a simple, formal, lexicon-based method for automated indexing of diagnoses based on the Systematized Nomenclature of Medicine (SNOMED), called LBI-method. Part 1 gave an introduction to the LBI-method and presented its realisation as application system SALBIDH. Part 2 presents the design and the results of an evaluation study to judge the quality of the LBI-method. In this evaluation study the quality of automated indexing as well as the quality of the retrieval of patient data by using automated indexed diagnoses was examined. The results show that the retrieval based on SNOMED indices is at least as good as the retrieval based on ICD classes despite a lot of indexing errors. From this we gather that our system is not yet good enough for immediate routine use but that an appropriate indexing quality and, as a result, a higher retrieval quality can be achieved after few improvements of the LBI-method, especially after revision of the lexicons.

The LBI-method for automated indexing of diagnoses by using SNOMED. Part 1. Design and realization.

We present a simple, formal, lexicon-based method for automated indexing of diagnoses based on the Systematized Nomenclature of Medicine (SNOMED II), called the LBI-method. Part 1 gives an introduction to the LBI-method and presents its realization as application system SALBIDH. The underlying model states that a diagnosis is represented by a set of indices of any nomenclature. The LBI-method is defined as a composition of functions, which in turn define the 3 steps of the LBI-method: preprocessing, morphological analysis, and semantic analysis. Part 2 will focus on the design and the results of an evaluation study to judge the quality of the LBI-method. In this evaluation study the quality of automated indexing was examined as well as the quality of the retrieval of patient data by using automated indexed diagnoses.