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Merging multimedia presentations and semistructured temporal data: a graph-based model and its application to clinical information.

OBJECTIVE: In this paper, we focus on the issue of providing physicians with the capability of representing in a seamless way both temporal aspects of multimedia semistructured data and their temporal presentation requirements. BACKGROUND: Semistructured data are data having some structure, that may be irregular or incomplete and does not necessarily conform to a fixed schema. Semistructured data often contain the description of histories of the considered real world. The eXtensible Markup Language (XML) is becoming a cross compatible and standardized means for representing semistructured clinical data. In the field of medical informatics, there are many ongoing activities concerning XML. In the field of multimedia database systems, the topic related to the integration of several media objects (with their temporal aspects) have been considered both for data modeling and querying issues and for modeling multimedia presentations. METHODOLOGY: We first propose the Multimedia Temporal Graphical Model (MTGM), by representing a clinical database for cardiology patients undergoing cardiac angiographies and then describe it in a formal way. We deal with the problem of expressing MTGM data by XML and of managing MTGM clinical data through an XML-based system. We provide both a technique for translating (a part of) an MTGM database into an XML document and some techniques allowing us to obtain presentations defined by means of the Synchronized Multimedia Integration Language (SMIL) from MTGM presentations. RESULTS: MTGM allows one to represent and store clinical information in a semistructured, temporal, and multimedia database. The physician can define multimedia presentations based on the stored data. Multimedia presentations are then stored in the same MTGM database together with temporal clinical information and are thus represented according to the same data model. A prototype based on an XML native database system has been designed and implemented. DISCUSSION AND CONCLUSIONS: In this work we have considered the theoretical and methodological issues concerning the definition of a general data model for describing temporal and multimedia features of semistructured clinical information. Other research and application oriented features, which have not been considered in MTGM, could be investigated for completing MTGM with regard to its applicability to clinical domains: MTGM does not allow one to express times at different levels of granularities, i.e. with different time units, or with indeterminacy; besides the considered valid time, it could be interesting to manage also other temporal dimensions such as the transaction and availability times. Besides being useful for managing multimedia data stored according to widely accepted standards as MPEG and DICOM, nowadays semistructured data, and XML in particular, are becoming the most important way for expressing and exchanging medical knowledge and data: MTGM can be considered as a data model allowing the seamless representation of both (multimedia and temporal) clinical data and knowledge.

Artificial Intelligence↗

Representing the UMLS as an object-oriented database: modeling issues and advantages.

OBJECTIVE: The Unified Medical Language System (UMLS) combines many well-established authoritative medical informatics terminologies in one knowledge representation system. Such a resource is very valuable to the health care community and industry. However, the UMLS is very large and complex and poses serious comprehension problems for users and maintenance personnel. The authors present a representation to support the user's comprehension and navigation of the UMLS. DESIGN: An object-oriented database (OODB) representation is used to represent the two major components of the UMLS-the Metathesaurus and the Semantic Network-as a unified system. The semantic types of the Semantic Network are modeled as semantic type classes. Intersection classes are defined to model concepts of multiple semantic types, which are removed from the semantic type classes. RESULTS: The authors provide examples of how the intersection classes help expose omissions of concepts, highlight errors of semantic type classification, and uncover ambiguities of concepts in the UMLS. The resulting UMLS OODB schema is deeper and more refined than the Semantic Network, since intersection classes are introduced. The Metathesaurus is classified into more mutually exclusive, uniform sets of concepts. The schema improves the user's comprehension and navigation of the Metathesaurus. CONCLUSIONS: The UMLS OODB schema supports the user's comprehension and navigation of the Metathesaurus. It also helps expose and resolve modeling problems in the UMLS.

Databases as Topic↗

[Scientific role of German ophthalmology in the European telecommunication project OPHTEL].

BACKGROUND: In Denmark, France, Germany, Great Britain and Italy, the OPHTEL project combines clinical centers of ophthalmology and internal medicine, an institute for medical informatics and health services research, a publishing company and different industrial partners in the EDP market. AIMS: With the aid of visual telecommunication and rapid data transfer, methods and conditions will be developed and proved so that any physician can very easily obtain sufficient information for treating his patient. Thus, the regional differences in the quality of structured health service (e.g., urban/ rural) will be overcome throughout Europe. SCIENTIFIC TASKS: A multilingual diagnostic and therapeutic thesaurus has to be worked out in order to create standards for communication and quality control. Based on literature, images and image analysis in a knowledge-based data bank, a monitoring system (containing watch-dog functions) and the basic aspects of an ophthalmological patient/disease register will be investigated. (In parallel, a technical development of synchronous and asynchronous telecommunication between eye physicians is taking place in close cooperation with the regional Bavarian project Teleopathalmology in Bavaria on-line). RESULTS: State of the art 6 months after starting the project:the knowledge-based image data bank has been founded and also an ophthalmological 8 language thesaurus and definition standard. All data transfer lines are installed. DISCUSSION: The project is taking place amid diverging sections of medicine: ophthalmology and internal medicine, health politics and data protection, individual treatment and common interest (health care), product management and office organization. Thus, the scientific quality of the transferred ophthalmological content must undergo sophisticated controls. FUTURE STEPS: Intense cooperation with the big German associations for ophthalmology (DOG, BVA) and the European ophthalmological societies concerning EDP, classification and quality control.

Computer Communication Networks↗

Shared expectations for protection of identifiable health care information: report of a national consensus process.

OBJECTIVE: The Ethical Force Program is a collaborative effort to create performance measures for ethics in health care. This report lays out areas of consensus that may be amenable to performance measurement on protecting the privacy, confidentiality and security of identifiable health information. DESIGN: Iterative consensus development process. PARTICIPANTS: The program's oversight body and its expert panel on privacy include national leaders representing the perspectives of physicians, patients, purchasers, health plans, hospitals, and medical ethicists as well as public health, law, and medical informatics experts. METHODS AND MAIN RESULTS: The oversight body appointed a national Expert Advisory Panel on Privacy and Confidentiality in September 1998. This group compiled and reviewed existing norms, including governmental reports and legal standards, professional association policies, private organization statements and policies, accreditation standards, and ethical opinions. A set of specific and assessable expectations for ethical conduct in this domain was then drafted and refined through 7 meetings over 16 months. In the final 2 iterations, each expectation was graded on a scale of 1 to 10 by each oversight body member on whether it was: (1) important, (2) universally applicable, (3) feasible to measure, and (4) realistic to implement. The expectations that did not score more than 7 (mean) on all 4 scales were reconsidered and retained only if the entire oversight body agreed that they should be used as potential subjects for performance measurement. Consensus was achieved on 34 specific expectations. The expectations fell into 8 content areas, addressing the need for transparency of policies and practices, consent for use and disclosure of identifiable information, limitations on information that can be collected and by whom, individual access to one's own health records, security requirements for storage and transfer of information, provisions to ensure ongoing data quality, limitations on how identifiable information may be used, and provisions for meaningful accountability. CONCLUSIONS: This process established consensus on 34 measurable ethical expectations for the protection of privacy and confidentiality in health care. These expectations should apply to any organization with access to personally identifiable health information, including managed care organizations, physician groups, hospitals, other provider organizations, and purchasers. Performance measurement on these expectations may improve accountability across the health care system.

Confidentiality↗

Task-oriented evaluation of electronic medical records systems: development and validation of a questionnaire for physicians.

BACKGROUND: Evaluation is a challenging but necessary part of the development cycle of clinical information systems like the electronic medical records (EMR) system. It is believed that such evaluations should include multiple perspectives, be comparative and employ both qualitative and quantitative methods. Self-administered questionnaires are frequently used as a quantitative evaluation method in medical informatics, but very few validated questionnaires address clinical use of EMR systems. METHODS: We have developed a task-oriented questionnaire for evaluating EMR systems from the clinician's perspective. The key feature of the questionnaire is a list of 24 general clinical tasks. It is applicable to physicians of most specialties and covers essential parts of their information-oriented work. The task list appears in two separate sections, about EMR use and task performance using the EMR, respectively. By combining these sections, the evaluator may estimate the potential impact of the EMR system on health care delivery. The results may also be compared across time, site or vendor. This paper describes the development, performance and validation of the questionnaire. Its performance is shown in two demonstration studies (n = 219 and 80). Its content is validated in an interview study (n = 10), and its reliability is investigated in a test-retest study (n = 37) and a scaling study (n = 31). RESULTS: In the interviews, the physicians found the general clinical tasks in the questionnaire relevant and comprehensible. The tasks were interpreted concordant to their definitions. However, the physicians found questions about tasks not explicitly or only partially supported by the EMR systems difficult to answer. The two demonstration studies provided unambiguous results and low percentages of missing responses. In addition, criterion validity was demonstrated for a majority of task-oriented questions. Their test-retest reliability was generally high, and the non-standard scale was found symmetric and ordinal. CONCLUSION: This questionnaire is relevant for clinical work and EMR systems, provides reliable and interpretable results, and may be used as part of any evaluation effort involving the clinician's perspective of an EMR system.

Cooperative Behavior↗

Phase II evaluation of clinical coding schemes: completeness, taxonomy, mapping, definitions, and clarity. CPRI Work Group on Codes and Structures.

OBJECTIVE: To compare three potential sources of controlled clinical terminology (READ codes version 3.1, SNOMED International, and Unified Medical Language System (UMLS) version 1.6) relative to attributes of completeness, clinical taxonomy, administrative mapping, term definitions and clarity (duplicate coding rate). METHODS: The authors assembled 1929 source concept records from a variety of clinical information taken from four medical centers across the United States. The source data included medical as well as ample nursing terminology. The source records were coded in each scheme by an investigator and checked by the coding scheme owner. The codings were then scored by an independent panel of clinicians for acceptability. Codes were checked for definitions provided with the scheme. Codes for a random sample of source records were analyzed by an investigator for "parent" and "child" codes within the scheme. Parent and child pairs were scored by an independent panel of medical informatics specialists for clinical acceptability. Administrative and billing code mapping from the published scheme were reviewed for all coded records and analyzed by independent reviewers for accuracy. The investigator for each scheme exhaustively searched a sample of coded records for duplications. RESULTS: SNOMED was judged to be significantly more complete in coding the source material than the other schemes (SNOMED* 70%; READ 57%; UMLS 50%; *p < .00001). SNOMED also had a richer clinical taxonomy judged by the number of acceptable first-degree relatives per coded concept (SNOMED* 4.56, UMLS 3.17; READ 2.14, *p < .005). Only the UMLS provided any definitions; these were found for 49% of records which had a coding assignment. READ and UMLS had better administrative mappings (composite score: READ* 40.6%; UMLS* 36.1%; SNOMED 20.7%, *p < .00001), and SNOMED had substantially more duplications of coding assignments (duplication rate: READ 0%; UMLS 4.2%; SNOMED* 13.9%, *p < .004) associated with a loss of clarity. CONCLUSION: No major terminology source can lay claim to being the ideal resource for a computer-based patient record. However, based upon this analysis of releases for April 1995, SNOMED International is considerably more complete, has a compositional nature and a richer taxonomy. Is suffers from less clarity, resulting from a lack of syntax and evolutionary changes in its coding scheme. READ has greater clarity and better mapping to administrative schemes (ICD-10 and OPCS-4), is rapidly changing and is less complete. UMLS is a rich lexical resource, with mappings to many source vocabularies. It provides definitions for many of its terms. However, due to the varying granularities and purposes of its source schemes, it has limitations for representation of clinical concepts within a computer-based patient record.

Abstracting and Indexing↗

Health information technology in primary health care in developing countries: a literature review.

This paper explores the debate and initiatives concerning the use of information technology (IT) in primary health care in developing countries. The literature from 1992-2002 was identified from searches of the MEDLINE, Latin American and Caribbean Health Science Literature Database (LILACS), Cochrane Library and Web of Science databases. The search identified 884 references, 350 of which were classified according to the scheme described by the Pan American Health Organization (PAHO). For the analysis of advantages, problems and perspectives of IT applications and systems, 52 articles were selected according to their potential contribution to the primary health-care processes in non-developed countries. These included: 10 on electronic patient registries (EPR), 22 on process and programmatic action evaluation and management systems (PPAEM) and 20 on clinical decision-support systems (CDS). The main advantages, limitations and perspectives are discussed.

Decision Support Systems, Clinical↗

Electronic technology: a spark to revitalize primary care?

The computer revolution has enormous potential to improve primary care in the areas of medical records, communication between physicians and patients, information sharing among health care providers, and rapid access to reliable medical information for both physicians and patients. A number of barriers must be overcome before computerization is widely embraced in primary care: e-health often takes too much time and is too expensive; the quality of Web-based medical information is inadequate; software programs may not interact with one another; patient privacy must be protected; public and private insurers rarely pay for electronic communication with patients; and the computer could interfere with the patient-physician relationship. Studies have shown that some computerized systems, such as reminder prompts and physician performance feedback, may improve physician performance and patient outcomes, but if these systems are too time-consuming, physicians may not use them. If primary care practices are to benefit from the electronic revolution, they must redesign their clinical processes to ensure that e-health facilitates rather than hinders the work of physicians.

Clinical Laboratory Information Systems↗

Anatomical reasoning in the informatics age: Principles, ontologies, and agendas.

Reasoning about anatomy shares historical scientific roots with formal logic and artificial intelligence. With advances in computer-based intelligent programming, high-level biological structural knowledge may be exploited directly for biomedical research, clinical tasks, and educational applications. We consider the special nature of anatomical domain knowledge, emphasizing the complex concepts and semantics that must be represented in the development of ontologies, formally structured databases of biological information. We review the evolution of the fundamental scientific principles of logic and artificial intelligence needed for building machines that can make use of anatomical knowledge. We look at methods for compiling ontologies and compare the structural designs of the Foundational Model of Anatomy and Open GALEN ontologies. We further consider issues related to mapping developing anatomy resources with other biological ontologies in genomics, proteomics, and physiology. Although early results are promising, considerable resources and continuing effort must be committed to completing and extending anatomical ontologies for the ultimate success of computer-based anatomical reasoning. Anat Rec (Part B: New Anat) 289B:72-84, 2006. (c) 2006 Wiley-Liss, Inc.

Artificial Intelligence↗

Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: research needs.

The objective of this report is to provide a basis to inform decisions about priorities for developing statistical research initiatives in the field of public health surveillance for emerging threats. Rapid information system advances have created a vast opportunity of secondary data sources for information to enhance the situational and health status awareness of populations. While the field of medical informatics and initiatives to standardize healthcare-seeking encounter records continue accelerating, it is necessary to adapt analytic and statistical methodologies to mature in sync with sibling information science technologies. One major right-of-passage for statistical inference is to advance the optimal application of analytic methodologies for using multiple data streams in detecting and characterizing public health population events of importance. This report first describes the problem in general and the data context, then delineates more specifically the practical nature of the problem and the related issues. Approaches currently applied to data with time-series, statistical process control and traditional inference concepts are described with examples in the section on Statistics and the Role of the Analytic Surveillance Data Monitor. These are the techniques that are providing substance to surveillance professionals and enabling use of multiple data streams. The next section describes use of a more complex approach that takes temporal as well as spatial dimensions into consideration for detection and situational awareness regarding event distributions. The space-time statistic has successfully been used to detect and track public health events of interest. Important research questions which are summarized at the end of this report are described in more detail with respect to the methodological application in the respective sections. This was thought to help elucidate the research requirements as summarized later in the report. Following the description of the space-time scan statistical application; this report extends to a less traditional area of promise given what has been observed in recent application of analytic methods. Bayesian networks (BNs) represent a conceptual step with advantages of flexibility for the public health surveillance community. Progression from traditional to the more extending statistical concepts in the context of the dynamic status quo of responsibility and challenge, leads to a conclusion consisting of categorical research needs. The report is structured by design to inform judgment about how to build on practical systems to achieve better analytic outcomes for public health surveillance. There are references to research issues throughout the sections with a summarization at the end, which also includes items previously unmentioned in the report.

Algorithms↗

Representing patient preference-related concepts for inclusion in electronic health records.

In recent years shared decision making between patients and their health care providers and the inclusion of patient preferences in patient care have been, in theory, embraced as models for good clinical practice. Patients' experiences, values, and preferences are increasingly acknowledged as important pieces of evidence for appropriate health care decision making. To effectively use information about patient preferences in patient care, this information, which is gathered through a process of preference elicitation, needs to be integrated with other types of information, e.g., diagnoses, treatments, and patient status indicators within the context of a longitudinal electronic health record. This integration requires that patient preference-related concepts be represented nonambiguously and in a manner that renders them suitable for computer rather than human processing. In this article, the authors describe important patient preference-related concepts and illustrate the use of the LOINC semantic structure as a terminology model to create fully specified names for a sample of 15 preference elicitations from 8 published research articles.

Decision Making↗

The Internet as a source of medical information. Investigation in a mixed cohort of radiotherapy patients.

BACKGROUND: The widespread use of the internet has influenced patterns of medical information for tumor patients. The present study examines the use of various media and, in particular, the application of the internet, in a mixed cohort of radiotherapy patients. PATIENTS AND METHODS: All patients undergoing radiotherapy at the University of Würzburg were analyzed simultaneously in May of 2000 using a newly developed 9-item questionnaire. Questions related to the importance of various media for medical information (grading from 0 = unimportant to 2 = very important) and previous internet use. The data was correlated with clinical information from the patients' charts. RESULTS: In 95% of patients (n = 139) questionnaires were evaluable. Of 8 media, television (mean score 0.94), patient brochure (0.83) and newspaper (0.76) were considered most important for medical information while the internet ranged last (0.24). Whereas 61.2% knew the internet as a source of medical information, only 11.5% had searched the internet themselves and 15.1% had received internet information from family or friends. Only 24.1% from these 2 groups had discussed the information with their physician. The rates of internet use were substantially higher in subgroups with younger age, higher education and palliative treatment. CONCLUSION: The importance of the medium internet for the information of tumor patients is currently still low but likely to increase based on demographic factors.

Adult↗

[Telematics in the health system and data protection].

In the health system, telematics are to be used for the benefit of patients and to make it possible for them to receive better medical care. Telematics must be employed in accordance with the guidelines of data protection and this means in particular that the patient must remain the master of his data. Therefore, he must be able to decide in which situation and to whom he wants to reveal his medical data. For this reason, the exact implementation of the introduction of the electronic medical smart card envisaged by the law requires detailed access authorisations and limitations, which must be reinforced by ample technical security measures. These measures must be transmitted to the patients through co-operation of doctors and health insurance companies in such a transparent way that they recognise the advantages of the new technology. The higher the acceptance is on the patients' side, the more they will be willing to participate voluntarily in telematic projects.

Computer Communication Networks↗

[Status of telemedicine in Austria].

In an overview the situation of telemedicine in Austria is presented regarding the Austrian health service with the focus on patients. First the term "telemedicine" is defined according to the present definition of the European Union and the situation of the Austrian health service. Afterwards individual success components for the planning of telemedicine projects are presented. These are briefly shown by the "five-column concept" of the Tyrolean Government, which includes the medical, legal, economic, technical and quality management-oriented aspects during the planning and evaluation period of telemedicine projects. The conclusion gives an overview of individual committees and activities of the Austrian medical universities, the federation and states as well as individual Austrian telemedical societies.

Austria↗