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Developing and evaluating criteria to help reviewers of biomedical informatics manuscripts.

Peer-reviewed publication of scientific research results represents the most important means of their communication. The authors have annually reviewed a large heterogeneous set of papers to produce the International Medical Informatics Association (IMIA) Yearbook of Medical Informatics. To support an objective and high-quality review process, the authors attempted to provide reviewers with a set of refined quality criteria, comprised of 80 general criteria and an additional 60 criteria for specific types of manuscripts. Authors conducted a randomized controlled trial, with 18 reviewers, to evaluate application of the refined criteria on review outcomes. Whereas the trial found that reviewers applying the criteria graded papers more strictly (lower overall scores), and that junior reviewers appreciated the availability of the criteria, there was no overall change in the interrater variability in reviewing the manuscripts. The authors describe their experience as a "case report" and provide a reference to the refined quality review criteria without claiming that the criteria represent a validated instrument for quantitative quality measurement.

Humans↗

Modern architectures for intelligent systems: reusable ontologies and problem-solving methods.

When interest in intelligent systems for clinical medicine soared in the 1970s, workers in medical informatics became particularly attracted to rule-based systems. Although many successful rule-based applications were constructed, development and maintenance of large rule bases remained quite problematic. In the 1980s, an entire industry dedicated to the marketing of tools for creating rule-based systems rose and fell, as workers in medical informatics began to appreciate deeply why knowledge acquisition and maintenance for such systems are difficult problems. During this time period, investigators began to explore alternative programming abstractions that could be used to develop intelligent systems. The notions of "generic tasks" and of reusable problem-solving methods became extremely influential. By the 1990s, academic centers were experimenting with architectures for intelligent systems based on two classes of reusable components: (1) domain-independent problem-solving methods-standard algorithms for automating stereotypical tasks--and (2) domain ontologies that captured the essential concepts (and relationships among those concepts) in particular application areas. This paper will highlight how intelligent systems for diverse tasks can be efficiently automated using these kinds of building blocks. The creation of domain ontologies and problem-solving methods is the fundamental end product of basic research in medical informatics. Consequently, these concepts need more attention by our scientific community.

Algorithms↗

Strategic plan for promoting ICNP in Romania.

Preparing Romanian nursing community for the newcoming health information systems is not an easy task and has to start with the structuring of nursing information. That means that the free text of nursing documentation has to be mould, in a first stage, into a nursing language. Then, using a classification system, it will be possible for it to be captured in an electronic health record. This paper is presenting the strategy proposed by the Working Group for Nursing Informatics of the Romanian Medical Informatics Society for developing the Romanian version of the International Classification for Nursing Practice(ICNP) and the dissemination actions associated.

Computer Literacy↗

Opportunities at the intersection of bioinformatics and health informatics: a case study.

This paper provides a "viewpoint discussion" based on a presentation made to the 2000 Symposium of the American College of Medical Informatics. It discusses potential opportunities for researchers in health informatics to become involved in the rapidly growing field of bioinformatics, using the activities of the Yale Center for Medical Informatics as a case study. One set of opportunities occurs where bioinformatics research itself intersects with the clinical world. Examples include the correlations between individual genetic variation with clinical risk factors, disease presentation, and differential response to treatment; and the implications of including genetic test results in the patient record, which raises clinical decision support issues as well as legal and ethical issues. A second set of opportunities occurs where bioinformatics research can benefit from the technologic expertise and approaches that informaticians have used extensively in the clinical arena. Examples include database organization and knowledge representation, data mining, and modeling and simulation. Microarray technology is discussed as a specific potential area for collaboration. Related questions concern how best to establish collaborations with bioscientists so that the interests and needs of both sets of researchers can be met in a synergistic fashion, and the most appropriate home for bioinformatics in an academic medical center.

Computational Biology↗

Health care in the information society. A prognosis for the year 2013.

Our society is increasingly influenced by modern information and communication technology (ICT). Health care has profited greatly by this development. How could health care provision look in the near future, in 10 years, or more precisely, in the year 2013? What measures must be undertaken by political and self-governing health institutions, and by medical informatics research, to ensure an efficient, medically advanced and yet affordable future health care system? Three factors will greatly influence the further development of information processing in health care within the near future: the development of the population, medical advances, and advances in informatics. These factors have motivated us to set up 30 theses for health care provision in the year 2013. The theses cover areas of health care, such as its people, its information systems, and its ICT tools. Three major goals requiring achievement have been identified: patient-centered recording and use of medical data for cooperative care, process-integrated decision support through current medical knowledge, comprehensive use of patient data for research and health care reporting. In consequence, political institutions should provide a framework for networked, patient-centered health care. They are called on to regulate the storage and exchange of health care data and of appropriate information system architectures. Finally, the health care institutions themselves must emphasize professional information management more strongly. Relevant research topics in medical informatics are: comprehensive electronic patient records, modern health information system architectures, architectures for medical knowledge centers, specific data processing methods ('medical data mining'), and multi-functional, mobile ICT tools.

Adolescent↗

AIDA and medical courseware.

For more than a decade the Department of Medical Informatics has offered one-week training courses on the subject of computer applications in medicine and health care. Since 1983 two courses are given at a rate of one course every two weeks. One course is on programming and problem solving and consists of three modules of increasing complexity in techniques and methods in programming and structured system development. This course focusses on only some aspects of medical informatics: the development of a medical information system, and the problems occurring in the process of automation. These aspects, however, are dealt with in detail. To this end the students are trained in using the programming system MUMPS and the fourth-generation software package AIDA. The second, introductory course is an intensive training on several distinct areas of man-machine interactions. It contains lessons in the fields of communication and recording; storage and retrieval and databases; computation and automation; recognition and diagnosis; and therapy and control. This paper describes the use of AIDA in developing and maintaining lessons for the latter course, and the assistance of AIDA for teaching purposes in the former course.

Computer User Training↗

Structuring European biomedical informatics to support individualized healthcare: current issues and future trends.

Bioinformatics and Medical Informatics are disciplines that up to now have followed separate development with few contacts and synergies between them in Europe. The elucidation of the human genome has however evidenced the need and the possibilities for a strong synergy between the two. Classical epidemiological and clinical research on the one hand, and genomic research on the other, separately considered, are no longer enough for advancing in the so-called genomic medicine, and a new integrative approach is required. Biomedical Informatics is the emerging discipline that aims to put these two worlds together so that the discovery and creation of novel diagnostic and therapeutic methods is fostered. On the basis of the results of the European Commission-funded BIOINFOMED Study, an INFOBIOMED Network of Excellence has been recently constituted with the main objective of setting a durable structure for the described collaborative approach at a European level. Initially formed by fifteen renowned European organisations, the main objective of the INFOBIOMED network is therefore to enable the reinforcement of European BMI as an integrative discipline.

Biomedical Research↗

What is eHealth (4): a scoping exercise to map the field.

BACKGROUND: Lack of consensus on the meaning of eHealth has led to uncertainty among academics, policymakers, providers and consumers. This project was commissioned in light of the rising profile of eHealth on the international policy agenda and the emerging UK National Programme for Information Technology (now called Connecting for Health) and related developments in the UK National Health Service. OBJECTIVES: To map the emergence and scope of eHealth as a topic and to identify its place within the wider health informatics field, as part of a larger review of research and expert analysis pertaining to current evidence, best practice and future trends. METHODS: Multiple databases of scientific abstracts were explored in a nonsystematic fashion to assess the presence of eHealth or conceptually related terms within their taxonomies, to identify journals in which articles explicitly referring to eHealth are contained and the topics covered, and to identify published definitions of the concept. The databases were Medline (PubMed), the Cumulative Index of Nursing and Allied Health Literature (CINAHL), the Science Citation Index (SCI), the Social Science Citation Index (SSCI), the Cochrane Database (including Dare, Central, NHS Economic Evaluation Database [NHS EED], Health Technology Assessment [HTA] database, NHS EED bibliographic) and ISTP (now known as ISI proceedings). We used the search query, "Ehealth OR e-health OR e*health". The timeframe searched was 1997-2003, although some analyses contain data emerging subsequent to this period. This was supplemented by iterative searches of Web-based sources, such as commercial and policy reports, research commissioning programmes and electronic news pages. Definitions extracted from both searches were thematically analyzed and compared in order to assess conceptual heterogeneity. RESULTS: The term eHealth only came into use in the year 2000, but has since become widely prevalent. The scope of the topic was not immediately discernable from that of the wider health informatics field, for which over 320000 publications are listed in Medline alone, and it is not explicitly represented within the existing Medical Subject Headings (MeSH) taxonomy. Applying eHealth as narrative search term to multiple databases yielded 387 relevant articles, distributed across 154 different journals, most commonly related to information technology and telemedicine, but extending to such areas as law. Most eHealth articles are represented on Medline. Definitions of eHealth vary with respect to the functions, stakeholders, contexts and theoretical issues targeted. Most encompass a broad range of medical informatics applications either specified (eg, decision support, consumer health information) or presented in more general terms (eg, to manage, arrange or deliver health care). However the majority emphasize the communicative functions of eHealth and specify the use of networked digital technologies, primarily the Internet, thus differentiating eHealth from the field of medical informatics. While some definitions explicitly target health professionals or patients, most encompass applications for all stakeholder groups. The nature of the scientific and broader literature pertaining to eHealth closely reflects these conceptualizations. CONCLUSIONS: We surmise that the field -- as it stands today -- may be characterized by the global definitions suggested by Eysenbach and Eng.

Delivery of Health Care↗

A training network for introducing telemedicine, telecare and hospital informatics in the Adriatic-Danube-Black Sea region.

DIMNET is a training mechanism for a region of central Europe. The aim is to upgrade the information technology skills of local hospital personnel and preserve their employability following the introduction of medical informatics. DIMNET uses Internet-based virtual classrooms to provide a 200-hour training course in medical informatics. Training takes place in the cities of Drama, Kavala, Xanthi and Varna. So far, more than 600 people have benefited from the programme. Initial results are encouraging. DIMNET promotes a new vocational training culture in the Balkans and is supported by local governments that perceive health-care as a fulcrum for economic development.

Computer Communication Networks↗

Health informatics: handle with caution.

The increased use of computers is a response to the considerable growth in information in all fields of activities. Related to this, in the field of medicine a new component appeared about 40 years ago: Medical Informatics. Its goals are to assist health care professionals in the choice of data to manage and in the choice of applications of such data. These possibilities for data management must be well understood and, related to this, two major dangers must be emphasized. One concerns data security, and the other concerns the processing of these data. This paper discusses these items and warns of the inappropriate use of medical informatics.

Computer Security↗

The organization of statistical activities at medical research institutions.

In this paper, we discuss the organizational structure for the conduct of statistical activities at medical Colleges and Universities. Here, we have particularly focused on two significant statistical activities, i.e., statistical consultation and research. The consulting service for medical researchers consists of practical statistical analysis, instruction on computer manipulation and software, response to reviewer's comments and statistical design of prospective studies. From our various experiences, we describe the actual implementation of statistical consultations for medical researchers. It has played an important role in supporting medical research. In addition, we also outline some research, with respect to new ways of applying statistics in medical science. This paper concludes that it may be practical for the existing computer center or department of medical informatics, in charge of the computing service, to conduct statistical activities until formal organizations are established at the academic institution. To realize the conduct of statistical activities by Department of Medical Informatics, it needs a team of biostatisticians, data analysts and computer personnel.

Computer Systems↗

Perspectives of clinical epidemiology in Germany.

The aim of this article is to discuss the perspective of clinical epidemiology in Germany. The following statements are discussed: (1) There is some confusion about the definition of clinical epidemiology. (2) There is a latent and growing need for clinical epidemiology in Germany. (3) Clinical epidemiology is an interdisciplinary field and not simply clinical medicine, epidemiology, biometry, or medical informatics. (4) We must continue with the education of clinicians and nonclinical methodologists in clinical epidemiology to develop the field of clinical epidemiology in Germany, Biometry, medical informatics, and epidemiology will play an essential role for this purpose. (5) The German scientific community urgently needs clinicians and scientists with experience in methodological research to specialize in the methods of clinical epidemiology. (6) The starting point for the development of clinical epidemiology in Germany, clear deficits in the past notwithstanding, is promising. However, we will only be able to develop the field if the egoism of the different disciplines can be tamed.

Biometry↗

Informatics Workup.

We introduce the concept of a Medical Informatics Workup performed by fourth year medical students working in a busy inner-city Emergency Room. These students use portable computers (Macintosh PowerBook 170s connected to a removable cartridge hard drive and CD-ROM drive) to do the patient workups. The PowerBook 170 contains the automated medical record entry software (IMR-E), five expert system software packages, and a program that allows the PowerBook to emulate a PC-compatible computer. With this configuration the student has a portable system that allows for the creation of a computerized medical record at the patient's bedside, along with the ability to analyze the data and generate a list of differential diagnoses.

Angina Pectoris↗

Conceptual graph grammar--a simple formalism for sublanguage.

There are a wide variety of computer applications that deal with various aspects of medical language: concept representation, controlled vocabulary, natural language processing, and information retrieval. While technical and theoretical methods appear to differ, all approaches investigate different aspects of the same phenomenon: medical sublanguage. This paper surveys the properties of medical sublanguage from a formal perspective, based on detailed analyses cited in the literature. A review of several computer systems based on sublanguage approaches shows some of the difficulties in addressing the interaction between the syntactic and semantic aspects of sublanguage. A formalism called Conceptual Graph Grammar is presented that attempts to combine both syntax and semantics into a single notation by extending standard Conceptual Graph notation. Examples from the domain of pathology diagnoses are provided to illustrate the use of this formalism in medical language analysis. The strengths and weaknesses of the approach are then considered. Conceptual Graph Grammar is an attempt to synthesize the common properties of different approaches to sublanguage into a single formalism, and to begin to define a common foundation for language-related research in medical informatics.

Computer Graphics↗

An innovative partnership in service.

OBJECTIVE: Stimulated by the need for better alignment of educational content and goals with evolving societal needs, practice patterns, and scientific developments, many medical schools are implementing new and creative educational experiences for students. Tulane University School of Medicine and Apple Computers have established an innovative partnership in which Apple laptop computers support and enhance students' service learning projects. The partnership also provides a unique opportunity to meet the Medical School Objectives Project (MSOP) objectives in Medical Informatics and Population Health, as outlined in Report II.(1) DESCRIPTION: Apple Computers has a commitment to the New Orleans community as part of its corporate strategic plan to support educational programs at all levels; Tulane has a longstanding commitment to and experience with student-led service learning as part of the Foundations in Medicine Course.(2) Senior administrative personnel from Tulane and Apple discussed these common interests, resulting in a partnership to enhance the potential impact on the community served. Apple agreed to donate 20 G3 Powerbooks and a complete set of the Apple Learning series of software to support new and ongoing service-learning projects. A committee of Tulane faculty and students, information technology staff, and an Apple representative developed the project. To maximize students' access to the laptops while managing the administration's liability, the laptops were identically configured with standardized software packages (database development and maintenance, Web access, word processing, presentation development and execution, automated backup, and individual project access to protected server space). To maximize the use of the laptops, students from the service-learning organizations can check out the laptops on a just-in-time basis, because the projects have different needs over time. Student-service leaders are currently defining and developing the exact uses for the laptops. We anticipate that this project will enhance the administrative management of service-learning programs (e.g., schedules, directions to sites), the presentation of educational programs (e.g., teaching in schools), the creation of new media to support programs (e.g., our restaurant choking program has a partnership with the American Heart Association to create a video and training manual to be used nationwide), and data tracking (e.g., sites and clients served, outcomes achieved). Students' use of the laptops should support the achievement of several of the MSOP Report II Medical Informatics objectives. To assess that, all first-year medical students are completing a pre- and post-project survey based on those objectives. DISCUSSION: The availability of laptops and software should significantly enhance the service-learning programs. The students participating should gain important skills in the use of computer technology related to their roles as lifelong learners, educators and communicators, researchers, and managers.(1) We plan to report the results of the pre- and post-project surveys once they have been completed. Students' feedback on the project has been very positive, and we hope it can serve as a model for other medical school, corporate, and community partnerships.

Health Services↗

[Computer databases and scientific and research information systems].

Medical informatics, especially computer data bases for collecting, processing and searching of scientific and research informations and publications is important for medical science and for the medical practice. Medical scientific informatics has developed as a special part of medical informatics. It is very important for medical education, medical research and publishing in biomedical disciplines. This paper presents the main characteristics of scientific and research information, their resources, searching of medical literature from biomedical journals. A historical survey of the foundation of the System for Biomedical Scientific Information in ex Yugoslavia (SBMNI) has been presented, with its conceptual basis, the current organization, the achieved results and experiences obtained.

Information Systems↗