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The results of a nationwide survey of the use of computers in rheumatology departments in the UK is presented. The survey revealed a widespread interest in the various possible uses of computer hardware and software in the specialty, and highlighted the difference between the experience of those who use computers and the aspirations of those who hope to.
The National Information Infrastructure (NII) or "information superhighway" is a high-priority federal initiative to combine communications networks, computers, databases, and consumer electronics to deliver information services to all U.S. citizens. The NII will be used to improve government and social services while cutting administrative costs. Operated by the private sector, the NII will rely on advanced technologies developed under the direction of the federal High Performance Computing and Communications (HPCC) Program. These include computing systems capable of performing trillions of operations (teraops) per second and networks capable of transmitting billions of bits (gigabits) per second. Among other activities, the HPCC Program supports the national supercomputer research centers, the federal portion of the Internet, and the development of interface software, such as Mosaic, that facilitates access to network information services. Health care has been identified as a critical demonstration area for HPCC technology and an important application area for the NII. As an HPCC participant, the National Library of Medicine (NLM) assists hospitals and medical centers to connect to the Internet through projects directed by the Regional Medical Libraries and through an Internet Connections Program cosponsored by the National Science Foundation. In addition to using the Internet to provide enhanced access to its own information services, NLM sponsors health-related applications of HPCC technology. Examples include the "Visible Human" project and recently awarded contracts for test-bed networks to share patient data and medical images, telemedicine projects to provide consultation and medical care to patients in rural areas, and advanced computer simulations of human anatomy for training in "virtual surgery."
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Explore the source record for details and available documents.
An object-oriented medical database management system is presented for a typical cardiologic center, facilitating epidemiological trials. Object-oriented analysis and design were used for the system design, offering advantages for the integrity and extendibility of medical information systems. The system was developed using object-oriented design and programming methodology, the C++ language and the Borland Paradox Relational Data Base Management System on an MS-Windows NT environment. Particular attention was paid to system compatibility, portability, the ease of use, and the suitable design of the patient record so as to support the decisions of medical personnel in cardiovascular centers. The system was designed to accept complex, heterogeneous, distributed data in various formats and from different kinds of examinations such as Holter, Doppler and electrocardiography.
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The Health Management Information System (HMIS) project initiated by the Ministry of Health as a component of the healthcare reform is aiming to ensure the technical, functional and operative support for: i) a better overview of the population health status, of the medical care needs and of the Health System performances; ii) the improvement of the resource allocation and consumption; iii) reform support. This system is supposed to assure a better information flow from the lower to the upper levels of the healthcare network by help of a modern IT support. In the first development stage the system is planned to link the Ministry of Health with the 41 District Health Authorities (DHAs) and with more than 200 pilot health units. The implementation of such a large system raises serious problems of acceptability and a thorough training programme for both technical staff and end users must be considered in order to face this challenge.
The computer is rapidly becoming an interactive workstation for medical research and for clinical decision-making and it has become a preferred instrument for communication and documentation throughout health care. However, when the attempt is made to use the rigid conventions of information processing to impose order on the characteristically volatile and unpredictable phenomena encountered in the clinical setting, deep seated logical issues are uncovered. This challenge has generated the new field of Medical Informatics, one major goal of which is to formulate computer logics that can properly relate the idealized descriptions of disease, the rules for medical practice and the general guidelines for health care to the intricate diversities encountered in the care of individual patients. The Integrated Academic Information Management System (IAIMS) program of the National Library of Medicine provides the most ambitious environment for research in this new endeavor.
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An experimental computer-based bibliographic retrieval system has been implemented to explore how semantic (conceptual) relationships between MeSH terms might assist the retrieval process. To construct the experimental system's database, lists of abstracts were produced using MEDLINE. Each list contained papers discussing a specified pair of terms. Each abstract was then analyzed to determine the specific relationship(s) between the two terms discussed in that paper. The project then explored how these semantic relationships could be incorporated into the computer to enhance bibliographic retrieval.
Communication and data exchange among existing health information systems is becoming increasingly important in the health care industry. In a managed care environment, the focus is on delivering value by providing consumers access to high-quality health care at reasonable cost. This article explains how the use of a health information network in the managed care system, which links all related entities, improves the quality of health care by allowing access to critical data on demand and decreases the cost of delivery by enhancing communication among managed care providers.
Computers play a major role in bridging the gap between image generation and patient care by providing enhanced images that better meet the needs of referring physicians. Spiral computed tomography allows generation of three-dimensional images that are not affected by motion artifact. Volume rendering, a three-dimensional reconstruction algorithm, yields images free of computer-generated artifacts and superior in quality. Currently, technologic computer advances play an important role in three clinical areas: orthopedic applications, oncologic applications, and prosthetic design. Three-dimensional imaging is especially valuable in fracture assessment because it allows exploration of image data to define the location of fracture fragments, the integrity of the joint space, and any possible displacement. With three-dimensional imaging, the extent of tumor spread into adjacent soft tissue or involvement of blood vessels can be determined, even in difficult anatomic areas. Volume rendering and increased computer speed allow greatly improved treatment planning for radiation therapy and custom design of orthopedic prostheses. Through the mutual understanding of goals between physicians and computer scientists, the computer can reach its full potential in medicine, resulting in improved patient care.
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Because there is not much written about computer application in the emergency department you will frequently find yourself reading about applications in other areas. It is up to you to apply this information in the emergency setting. This makes you pioneers, in search of a new and better tomorrow. Our future is not yet written. It is waiting on you and your creative ideas to keep the wagon rolling. Don't let the new territory of informatics, hardware hardships, and foreign computer languages get you down. Accept informatics as just another challenge, like the many we have faced successfully in the past. Use these resources and your expertise in emergency nursing to create innovative informatic systems.
Computerized information systems hold the promise of overcoming problems in the management of clinical information Many of the claims of the creators and promoters of these systems, however, are not based on sound clinical studies. To determine the ability of computer information systems to improve the quality of medical care, we applied methodologic criteria to published articles in the field. Only 30 (22%) of 135 articles reported preplanned investigations, and only half of these met minimal criteria for scientific investigations. Fourteen studies were well designed and executed. All studies reported improvements in the process of care. However, patient outcomes were not measured, not affected, or only minimally influenced. While computer information systems show increasing potential, more work is required to enhance their effect on the quality of care and thus on patient outcomes.
Collaborative development involving both individuals and groups is often less efficient than independent development because of communication overhead and integration costs. Despite the decreased development efficiency, collaborations promise more general-purpose products because of the opportunity for integration, with negotiation and reconciliation of diverse perspectives. Collaborations are also perhaps less costly when considered in contexts where there is significant duplication of effort. Computer-facilitated collaboration can reduce the communication and integration burden such that the increased effort required to manage a successful collaboration focuses primarily on the development of shared conceptual model among the developers by requiring that the work product be independently reproducible. This reproducibility requirement incorporates formal quality assurance processes into the development process. In this paper, we describe our initial experiences developing SNOMED-RT using such a computer-facilitated collaborative process. We quantify the extra costs incurred to achieve consistency in our efforts and reproducibility of our results.