Information technologies in US medical schools. Clinical practices outpace academic applications.
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Medical Informatics Applications↗
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Sensors, medical image and signal processing. Findings from the Section on Sensor, Signal and Imaging Informatics.
OBJECTIVES: To summarize current excellent research in the field of sensor, signal and imaging informatics. METHODS: Synopsis of the articles selected for the IMIA Yearbook of Medical Informatics 2006. RESULTS: The selection process for this yearbook's section 'Sensor, signal and imaging informatics' results in six excellent articles, representing research in five different nations. We selected a cross section of the wide range of application, ranging from model based image segmentation, image retrieval and data mining, image based diagnosis assistance, bio-impedance based skin cancer screening, brain computer interfaces to MRI based computational models for fluid-structure-interactions. CONCLUSIONS: The selected articles indicate a small but meaningful extract from the research field of sensors, signal and image processing, which has a wide range of applications in medical informatics. The articles present excellent research with a possibility of having high relevance for the future in patient care.
Awards and Prizes↗
Theory, abstraction and design in medical informatics.
OBJECTIVE: To analyze the scientific and engineering components of Medical Informatics. A clear characterization of these components should be undertaken to categorize different areas of Medical Informatics and create a research agenda for the future. METHODS: We have adapted a classical ACM and IEEE report on computing to analyze Medical Informatics from three different viewpoints: Theory, Abstraction, and Design. RESULTS: We suggest that Medical Informatics can be considered from these three perspectives: (1) Theory, from which medical informaticians formally characterize the properties of the objects of study, creating new theories or using and adapting existing theories (e.g., from mathematics), (2) Abstraction, from which medical informaticians deal with all aspects of medical information and create new abstractions, methods, and technology-independent models, which can be experimentally verified, and (3) Design, from which medical informaticians develop systems or act as information brokers or advisors between medical and technology professionals, to improve the quality of computer applications in medicine. CONCLUSION: Based on this framework, we suggest that Medical Informatics has an independent scientific character, different from other applied informatics areas. Finally, we analyze these three perspectives using data mining in medicine.
Medical Informatics↗
Critical dimensions in medical informatics.
A typology of medical informatics applications is proposed around three dimensions: the dimension of care, the dimension of information and knowledge, and the aspects of the computerized society. These dimension can help both to evaluate application or research papers in the field or to derive long term goals for the discipline. In the first dimension medical informatics appears more as a technology driven by external forces such as the general progress of medicine or the integration of economical constraints in the choice of optimal procedures. It is argued that barriers to overcome as well as challenges for future research mainly remain in the two last dimensions.
Artificial Intelligence↗
Medical applications on the Internet.
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Computer Communication Networks↗
[Microsystem technique for medical applications: overview of combined projects and prospects].
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Forecasting↗
Training residents in medical informatics.
BACKGROUND AND OBJECTIVES: A number of medical educators have called for an increased emphasis on medical informatics training, but few family practice residency programs have provided more than cursory teaching efforts in this area. This paper provides an overview of approaches to medical informatics education that have been implemented with some success by "pioneer" programs. A comprehensive review of the literature reveals many promising teaching applications of informatics tools, such as palmtop computing devices, e-mail, decision support software, and videoconferencing. However, barriers to the advancement of informatics training in residency remain, including low rates of computer ownership and use among residents, a lack of information regarding faculty computer skills, and lack of collaboration among programs teaching informatics. Based on the literature review and tempered by expert recommendations, an eight-step process for developing or refining a family medicine informatics curriculum is proposed: 1) conduct a needs assessment 2) review expert recommendations, 3) enlist faculty and local institutional support, 4) espouse a human-centered approach, 5) integrate informatics training into the larger curriculum, 6) provide easy access to computers, 7) provide practical training, and 8) measure and report educational outcomes.
Computer Literacy↗
Quality of healthcare related software applications--setting up an accreditation system in Hungary.
Meeting expectations of high quality health care, the safe and secure operation of medical information systems is a "must". However for healthcare software nationwide quality control systems are not widely used. A quality control project of health care applications in Hungary has been launched in 1996 by the Hungarian Society of Healthcare Informatics (MEIT) and Medico-Biological Section of Johann Neumann Society of Computing (NJSZT) by establishing a joint Healthcare Informatics Applications Accreditation Board (Board ESAB). The Board developed an evaluation methodology and a legal procedure to test health care software application modules. The evaluation method is based on international standards as ISO-9126 and on emerging European standards of CEN/TC 251. First rounds of accreditation already proved that there is a need among providers and users for the accreditation process. The authors hope that establishing an accreditation system will lead to a more balanced health care software market where users have an opportunity to inform themselves by the opinion of independent experts on the product they intend to purchase.
Accreditation↗
A survey of medical informatics in Belgium.
The Belgian Society for Medical Informatics (MIM) organized a survey in 1986 in order to assess the present state of development of medical informatics in Belgium. Questionnaires were sent to hospitals, laboratories, private practitioners and pharmacists, as well as to social security organizations and software industries. The response rate was higher in hospitals (93%) than in any other category. Results showed a large number of computerized hospitals (93% of general acute care hospitals and 91% of psychiatric hospitals). There has been a sharp increase (+ 15%) in computerization of the admission, accounting and billing procedures since 1985, most likely in relation with administrative rules issued by the Belgian Government. The same trend (+ 20%) has been observed for computer applications in clinical laboratories, between 1984 and 1985. There is almost one computer terminal for ten beds in the hospitals with more than 200 beds in 1986. This figure exemplifies the present trend to on-line access to data. Computerized instrumental aids to medicine such as text processing, imaging or computerized interpretation of signals have known a rapid extension during recent years, although less comprehensive than administrative applications in hospitals and in social security organizations. The present state of other applications in medicine (general practice, pharmacy, etc.) was more difficult to assess as those information systems remain more pinpointed. In all medical fields, there appears to be a new rise in computer programs offered by software companies.
Belgium↗
Three decades of research on computer applications in health care: medical informatics support at the Agency for Healthcare Research and Quality.
The Agency for Healthcare Research and Quality and its predecessor organizations-collectively referred to here as AHRQ-have a productive history of funding research and development in the field of medical informatics, with grant investments since 1968 totaling $107 million. Many computerized interventions that are commonplace today, such as drug interaction alerts, had their genesis in early AHRQ initiatives. This review provides a historical perspective on AHRQ investment in medical informatics research. It shows that grants provided by AHRQ resulted in achievements that include advancing automation in the clinical laboratory and radiology, assisting in technology development (computer languages, software, and hardware), evaluating the effectiveness of computer-based medical information systems, facilitating the evolution of computer-aided decision making, promoting computer-initiated quality assurance programs, backing the formation and application of comprehensive data banks, enhancing the management of specific conditions such as HIV infection, and supporting health data coding and standards initiatives. Other federal agencies and private organizations have also supported research in medical informatics, some earlier and to a greater degree than AHRQ. The results and relative roles of these related efforts are beyond the scope of this review.
Databases, Factual↗
Health-risk appraisal applied to ordinary AMHTS.
The main purpose of an automatic health testing system (AMHTS) has changed from early detection to primary prevention. Health-risk appraisal is now widely available as a tool of health education aiming at the modification of unhealthy lifestyles. However, the opportunity to offer appropriate health education was less frequent for those who had no particular findings during AMHTS. The results of an AMHTS should be evaluated from the viewpoint of health-risk appraisal, because the system is expected to supply useful information regarding one's lifestyle. Our system consists of two health-risk appraisal subsystems. One subsystem estimates the degree of improvement in medical indicators after a patient's lifestyle has been modified. The other subsystem predicts the occurrence of abnormal findings in medical indicators. These health-risk appraisal subsystems provide patients with information about their health-risks, based on their AMHTS results. Our health-risk appraisal subsystems should play an important role in future health education through the application of ordinary AMHTS.
Health Education↗
The organization engine: virtual data integration.
The Organization Engine is an early example of Virtual Data Integration--providing the appearance of integration at the desktop without modifying existing infrastructure. Starting with the Organization Engine, eight programming days were needed to provide uniform desktop access to a CODASYL-compliant hospital information system and to a MUMPS-based radiology information system (the technique is equally effective for relational and other data bases). The resulting tool provides a seamless integration of these two systems, image storage, pre-recorded audio, and document storage. In addition to providing uniform access, the tool allows healthcare providers to organize the data to suit their individual needs. The ease of this integration lies in two simple techniques: the transformation of data from all sources into a single, homogeneous representation, and the use of simple customization files to describe new object types and formats. The approach is sufficiently general to allow the integration of applications which present external interfaces of radically different forms. Two such forms are discussed here: data map publication and transactions.
Computer Communication Networks↗
A multicenter study of data collection and communication at primary health care centers.
Health care delivery is information intensive. As computer applications make information available to the decision maker with speed and accuracy, informatics applications will strengthen the infrastructure. This paper is the second part of a multicenter systems analysis study to design a common application software to support primary health care focused on information flow. We present the questionnaire analysis and observations from a field study of a district health site. Analyses using contingency tables revealed differences, some statistically significant. The field study confirmed that minor differences exist even within a district health site. Development of a common application software on the basis of information flow studies is feasible. However, to make optimum use of computer implementation, revision of the health information systems was recommended. It was suggested that application software be developed with the core data set required by the care providers to deliver and administrators to manage a vertical health program.
Communication↗
Towards cooperative patient management through organizational and medical ontologies.
Within knowledge and data engineering a new research paradigm is emerging based on the Multi-Agent System (MAS) architectural framework, allowing human and software agents to interoperate and thus cooperate within common application areas. In such a framework, knowledgeable agents of heterogeneous nature, that possess diverse but at least partially compatible or inter-translatable conceptual views, or ontologies, modeling both their own expertise and the external environment, make somehow available their information resources or problem-solving abilities for cooperative processes addressing the construction of a new agent or the achievement of some common goal through a correlated execution of tasks. In this paper, we restrict our analysis to the case of an organization of cognitive agents, illustrated with examples from a prototypical healthcare MAS, that is, a so-called Distributed Healthcare Information System (D-HIS). The prototype makes use of an ontological library written in the standard language Ontolingua. An ongoing application of the methodology to the main problem of Clinical Practice Guidelines (GLs) computer-based dissemination and enforcement is described.
Artificial Intelligence↗
Implementing HISA standard in the middleware layer of our applications.
This article describes our experiences in implementation of the European standard for the architecture of healthcare information systems. The standard was a great help, but this article focuses more on some problems we have encountered.
Computer Communication Networks↗
High performance computing for the human genome project.
Human Genome Analysis and Image Processing are part of the 'Grand Challenges' in High Performance Computing. The traditional mainframe has become insufficient for these applications in Biocomputing. New scalable parallel processor systems enter the marketplace with superior price/performance. The evaluation process of such a system by an application-oriented benchmark test suite is described. The system is integrated in the client/server structure of the Deutsches Krebsforschungszentrum where 'rightsizing' will eliminate the mainframe completely in the near future.
Computer Systems↗
Understanding, navigating and communicating knowledge: issues and challenges.
This paper presents a psychological perspective on key issues related to medical vocabularies. There have been rapid advances in the development of computer technology underlying medical information systems. However, in keeping with technological progress, we must also take into account advances in our understanding of human behaviour and learn from failures in human performance. A central issue examined in this paper is the extent to which we can develop generic vocabularies that are also flexible and adaptable to specific situations. Empirical research indicates that variability in human performance is much greater than what current medical classifications take into account. A related challenge is that of how to best develop vocabularies that meet the needs of users. Based on theoretical perspectives and research emerging from the domain of cognitive psychology, we suggest that an understanding of the cognitive mechanisms underlying the comprehension and application of terminology is required. It is argued that rather than beginning with highly specified terminologies, i.e. the normative approach, we might instead begin by examining the natural context of how health care workers acquire, understand and negotiate knowledge in practice.
Artificial Intelligence↗
Medical informatics in medical research - the Severe Malaria in African Children (SMAC) Network's experience.
OBJECTIVES: Computers are widely used for data management in clinical trials in the developed countries, unlike in developing countries. Dependable systems are vital for data management, and medical decision making in clinical research. Monitoring and evaluation of data management is critical. In this paper we describe database structures and procedures of systems used to implement, coordinate, and sustain data management in Africa. We outline major lessons, challenges and successes achieved, and recommendations to improve medical informatics application in biomedical research in sub-Saharan Africa. METHODS: A consortium of experienced research units at five sites in Africa in studying children with disease formed a new clinical trials network, Severe Malaria in African Children. In December 2000, the network introduced an observational study involving these hospital-based sites. After prototyping, relational database management systems were implemented for data entry and verification, data submission and quality assurance monitoring. RESULTS: Between 2000 and 2005, 25,858 patients were enrolled. Failure to meet data submission deadline and data entry errors correlated positively (correlation coefficient, r = 0.82), with more errors occurring when data was submitted late. Data submission lateness correlated inversely with hospital admissions (r = -0.62). CONCLUSIONS: Developing and sustaining dependable DBMS, ongoing modifications to optimize data management is crucial for clinical studies. Monitoring and communication systems are vital in multi-center networks for good data management. Data timeliness is associated with data quality and hospital admissions.
Acute Disease↗