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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.

Computational Biology↗

The CIO and IRM (information resources management) alliance: maneuvering for the competitive edge in hospital information management.

In 1986, Johns noted that "The hospital industry was caught unprepared for the external demands and information needs required in a case-mix reimbursement environment." Lack of a data-processing philosophy and inattention to external forces were cited as having hampered technology upgrade and integration of financial and clinical databases. The intervening years have witnessed a growth of information dissemination in the health care industry concerning information value and resource management. The frequency of appearance of articles on information management in the professional literature and the number of workshops and professional meetings addressing the topic attest to the current visibility of the information resource. Despite this flurry of interest, the industry has not developed its own models of information resources management nor validated its information evolution with accepted management information systems models. While interest in health care information resource management exists, understanding of the complex issues in this area has not developed as one would expect. While there are a myriad of reasons for this, a contributing factor is the lack of a research foundation for development and application of theory and models. Even though various graduate programs exist in medical informatics and biomedical computing, few concentrate on the study of health information resource management from an organizational perspective. Because of this, academic research in the area has been minimal. The scarcity of graduate-level programs has also meant that few individuals have been educated to deal with the challenges of managing the many disparate functional activities associated with health care information resource management. Due to a variety of internal and external forces, extreme demands were placed on the hospital information resource during the past decade.(ABSTRACT TRUNCATED AT 250 WORDS)

Hospital Administrators↗

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 empirical object of medical informatics.

Medical informatics is the science of information processing and the creation of information processing systems in medicine and health care delivery. Its methodological approach is based on the area specific applicability of a multidisciplinary theory of engineering and managing computerized information systems related to its empirical object. This paper gives a systemic view of the health care system, representing the empirical object of medical informatics.

Decision Making↗

Development methodology for a "next generation" medical informatics curriculum for clinicians.

We describe a new methodology for development of a medical informatics curriculum for practicing clinicians. The curriculum is based on a biaxial framework in which information is categorized by type of application and role of the learner in relation to the application. The curriculum development process incorporates feedback from practicing clinicians on an ongoing basis.

Curriculum↗

Informatics in radiology (infoRAD): NeatVision: visual programming for computer-aided diagnostic applications.

A free visual programming-based image analysis development environment for medical imaging applications called NeatVision was developed to provide high-level access to a wide range of image processing algorithms through a well-defined, easy-to-use graphical interface. The system contains over 300 image manipulation, processing, and analysis algorithms. For more advanced users, an upgrade path is provided to extend the core library with use of the developer's interface, giving users access to additional plug-in features, automatic source code generation, compilation with full error feedback, and dynamic algorithm updates. NeatVision was designed to allow users at all levels of expertise to focus on the computer vision design task for computer-aided diagnostic (CAD) applications rather than the subtleties of a particular programming language. The environment allows the designers of image analysis-based CAD techniques to implement their ideas in a dynamic and straightforward manner. Both NeatVision standard and developer's versions can be downloaded free of charge from the Internet and can run on a variety of computer platforms.

Diagnosis, Computer-Assisted↗

G7: a framework for international cooperation in medical informatics.

The world's major economic powers, the G7, have initiated a collaborative International research and demonstration program to exploit the benefits of information and communications technology for society. The Global Healthcare Applications Project (GHAP) is investigating a variety of informatics applications in disease specific domains, telemedicine, and multilingual textual and image database systems. This paper summarizes the nine GHAP sub-projects undertaken to date, with emphasis on those in which the U.S. is a participant. The growing use of smart card technology, especially in Europe, is adding new impetus for similar medical and health experiments in the U.S. A pilot project now underway in several Western states is described.

Computer Communication Networks↗

Health informatics education: an opportunity for public health in Canada.

Health information infrastructure is being developed across Canada, and health informatics education should be a component of the emerging infrastructure. However, educational opportunities do not appear to be developing in pace with infrastructure. This study characterizes the required education, and describes specific issues facing the development of health informatics education. Twenty-six key informants were interviewed, and responses were analyzed to identify major themes. Subjects agreed that the current capacity for health informatics education is inadequate. Also, limited expertise could adversely affect health infostructure implementation and health system performance. A need was identified for both advanced and basic education. Four issues facing the development of health informatics education in Canada were consistently identified: awareness, collaboration, funding, and human resources. Public health is well positioned to play a central role in health informatics education due to its historical basis in handling health information, and its developing expertise in health informatics applications.

Canada↗

[The application of biomed-informatics in cardiovascular research--data and knowledge].

With the development of biotechnology, especially the projects which lead to high throughout experimental results, lots of data have been jammed in every related fields, and broke the balance between data and knowledge in these fields. It is urgent to refine these data, and let them be more productive. To avoid these data being decaying into rubbish, technology and theory such as database, statistics, data mining, knowledge management, and artificial intelligence had been applied into biologic and medical study fields. So, a new standalone research subject--biomed-informatics has been formed. This paper reviewed the application of biomed-informatics in cardiovascular research, and gave the view for the future development of this subject.

Animals↗

Future directions in evaluation research: people, organizational, and social issues.

OBJECTIVE: To review evaluation literature concerning people, organizational, and social issues and provide recommendations for future research. METHOD: Analyze this research and make recommendations. RESULTS AND CONCLUSIONS: Evaluation research is key in identifying how people, organizational, and social issues - all crucial to system design, development, implementation, and use - interplay with informatics projects. Building on a long history of contributions and using a variety of methods, researchers continue developing evaluation theories and methods while producing significant interesting studies. We recommend that future research: 1) Address concerns of the many individuals involved in or affected by informatics applications. 2) Conduct studies in different type and size sites, and with different scopes of systems and different groups of users. Do multi-site or multi-system comparative studies. 3) Incorporate evaluation into all phases of a project. 4) Study failures, partial successes, and changes in project definition or outcome. 5) Employ evaluation approaches that take account of the shifting nature of health care and project environments, and do formative evaluations. 6) Incorporate people, social, organizational, cultural, and concomitant ethical issues into the mainstream of medical informatics. 7) Diversify research approaches and continue to develop new approaches. 8) Conduct investigations at different levels of analysis. 9) Integrate findings from different applications and contextual settings, different areas of health care, studies in other disciplines, and also work that is not published in traditional research outlets. 10) Develop and test theory to inform both further evaluation research and informatics practice.

Canada↗

[Design criteria for a computerized clinical database].

The techniques of data management constitute a principal field in medical informatics, both for systems oriented to sole information retrieval, and basic-systems for more sophisticated applications. The operative utility of a data base depends on a careful planning based on foreseen requirements, and on the observance of some methodological rules. Such as, a precised preliminary study for the selection of clinical data to include in the data base, the choice of better tools and methodologies for the data collection and the right programming of software for the management of the archives. The knowledge of these problems allows, in many cases, the programming of computerized data base to use efficiently in the management of clinical information and in the planning of research. These problems, which do not depend on the hardware used, are commonly found in these applications. However, they have to be solved either for the use of large data base in hospital, which run on mainframe, or for the archives of the department, which can be built by every clinician on his own personal computer.

Humans↗

A collaborative institutional model for integrating computer applications in the medical curriculum.

The introduction and promotion of information technology in an established medical curriculum with existing academic and technical support structures poses a number of challenges. The UNC School of Medicine has developed the Taskforce on Educational Applications in Medicine (TEAM), to coordinate this effort. TEAM works as a confederation of existing research and support units with interests in computers and education, along with a core of interested faculty with curricular responsibilities. Constituent units of the TEAM confederation include the medical center library, medical television studios, basic science teaching laboratories, educational development office, microcomputer and network support groups, academic affairs administration, and a subset of course directors and teaching faculty. Among our efforts have been the establishment of (1) a mini-grant program to support faculty initiated development and implementation of computer applications in the curriculum, (2) a symposium series with visiting speakers to acquaint faculty with current developments in medical informatics and related curricular efforts at other institution, (3) 20 computer workstations located in the multipurpose teaching labs where first and second year students do much of their academic work, (4) a demonstration center for evaluation of courseware and technologically advanced delivery systems. The student workstations provide convenient access to electronic mail, University schedules and calendars, the CoSy computer conferencing system, and several software applications integral to their courses in pathology, histology, microbiology, biochemistry, and neurobiology. The progress achieved toward the primary goal has modestly exceeded our initial expectations, while the collegiality and interest expressed toward TEAM activities in the local environment stand as empirical measures of the success of the concept.

Academic Medical Centers↗

Assisting maxillofacial surgery by using multimedia VR techniques.

Multimedia and VR technologies are examined as regards their potentiality for medicine, specifically for maxillofacial surgery. The goal is to achieve a surgical procedure of better quality as well as a more interesting way of imparting medical knowledge. Close cooperation with the Maxillofacial and Plastic Surgery Department of the University Hospital Benjamin Franklin (UKBF) ensures the suitability of the material for the user. Doctors give regular feedback on the 3D human-computer interface, graphics and interaction devices because they are crucial for the implementation of multimedia and VR systems in medicine. Before implementing a VR or multimedia application, the technical possibilities should be explored in depth. Therefore, a VR tested for 3D input and output devices has been established at the Technical University of Berlin to assess the advantages and technical restrictions of commercially available and self-made devices. Parts of the VR tested are currently being transferred to the Medical Informatics Department of the UKBF, where the usefulness of various 3D input and output devices for different medical applications in a real clinical environment will be evaluated.

Computer Simulation↗

[Computerization of a clinical chemical laboratory. A contribution for quality assurance].

The application of computer science to the practice of laboratory medicine, one of the medical informatics fields, brings a complete revolution in laboratory work and the clinical pathologists profile. The authors explain the methodology for the implementation of such a system, in a perspective of quality assurance, defining the goals, objectives, customer requirements and analysis of the benefits they achieve. Finally the authors explain the future perspectives.

Clinical Laboratory Information Systems↗

Informatics and education in the health professions.

Informatics, the applied use of information science, is undergoing definition and development in the health professions with the encouragement of the National Library of Medicine and other professional organizations. Medical informatics and disciplinary subsets such as nursing and dental informatics look to optimize a growing range of applications ranging from video-disks to expert systems. Recommendations call for the integration of informatics into the education of health care professionals. Academic health sciences centers are developing informatics programs; the University of Maryland Campus for the Professions has convened a task force and a national advisory board on informatics.

Health Occupations↗

GALEN-IN-USE: application in Greek and influences on education.

GALEN-IN-USE is a European project that aims to promote greater European harmonization and to overcome the problems encountered in using traditional coding and classification systems. This paper presents the work done by the Greek Centre of Medical Informatics and Terminology, as a collaborating centre of GALEN-IN-USE(GIU), in order to apply GIU's tools to Greek Health Care System as well as the affect of this application in education.

Classification↗

Developments toward clinical support systems. Beyond accounts receivable.

The role of computers in primary care is disappointing when contrasted with their ubiquity elsewhere. This article surveys unique applications that have made inroads toward successful adaptation of automation to the storage and retrieval of medical data and to clinical decision support. The author's DUCHESS system is described as an effort to overcome the impediments that have restricted application of informatics to ambulatory care.

Artificial Intelligence↗

Vital signs monitoring from home with open systems.

This study investigates the applicability of a novel codification scheme based on two healthcare informatics standards (namely the VITAL (ENV 13734) and DICOM Sup. 30 Waveform Interchange) in addressing the robust interchange of waveform and medical data in remote healthcare applications. To further address system validation and clinical acceptance issues, pilots were set-up between home-monitoring stations and a hospital-based telemedicine consultation center. The pilots focused in assessing applicability, technical feasibility and performance of the proposed codification scheme based on the two standards. This paper presents the system and services requirements as studied for a home-care application, the design goals for the preservation of security stature, the practical issues of validation and the results of integrating these codification schemes into a commercial patient connected device.

Computer Systems↗