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At least 415 records · Page 23Linked to original sources

A clinical molecular scanner: the Melanie project.

We developed an expert system to analyze and interpret protein maps. This system, Melanie (medical electrophoresis analysis interactive expert), can distinguish between normal and cirrhotic liver and identify various types of cancer on the basis of protein patterns in biopsy specimens. Our findings suggest that some diseases associated with toxic compounds or modifications of the human genome can be diagnosed by expert systems that analyze protein maps. The combination of protein mapping and computer analysis could result in a clinically useful "molecular scanner". The massive amount of information analyzed and stored in such studies requires new strategies, including centralized databases and image transmission over networks. Increased understanding of protein expression and regulation will enhance the importance of the human genome project in medicine and biology.

Computer Systems↗

Desktop image analysis: workstations of the future.

We report the use of an interactive graphics-oriented workstation to explore quantitative information extracted from medical images. At the University of California at Los Angeles, a Macintosh II personal computer operates as a stand-alone system and images are imported from a central PACS (picture archiving and communication system) server through an Ethernet network. The image-analysis program contains a complete set of general-purpose tools for image manipulation and processing, as well as specific tools for clinical analysis of cardiac and vascular images obtained by various techniques. Most of these features were designed to communicate information through color-coded graphic displays. Ten novice users were given a brief introduction to the program and asked to perform eight analytic tasks. The overall success rate was 95%, and the subjects considered the program easy to use without a manual or formal training. We conclude that with a well-designed graphic interface, physicians without training in the use of computers can easily learn to manipulate and analyze medical images.

Computer Graphics↗

Information workstations in clinical pathology.

Multitasking operating systems and expanding networks now permit smooth access to remote computers, peripherals, data, and information resources. Graphic user interfaces and productivity-enhancing software packages reduce the need for training and memorization of commands. New models of desktop computers based on "data-centered" software architecture can enhance workstation usefulness even more. Pathologists need to consider how these tools might improve access to and management of information and knowledge.

Computer Systems↗

Design of a clinical laboratory computer system.

A clinical laboratory is a dynamic organization that suffers when constrained to a static environment. Its approach to information management must be predicated on an ability to deal comfortably with change whenever necessary. It is important to view an information system as a dynamic process rather than a static object to be used for some time and then discarded for a newer model.

Clinical Laboratory Information Systems↗

Computerized health service information: is it used?

The National Health Service is renowned for its underuse of computerized data. One reason is that the data held are considered to be inaccurate. Another reason is that clinicians and administrators may feel threatened and at risk if their performance is shown to be worse than that of others. Changes in political and professional attitudes, medical audit and technological advances are revolutionizing the use of computerized data.

Attitude to Computers↗

Researcher's Workbench.

The Researcher's Workbench, developed at the University of Utah College of Nursing, is a computer toolkit for nurse researchers. Workbench includes a set of software tools, most of which are commercially available, to support each stage of the research process. The tools reside on a Macintosh II desk-top computer (Apple Computer, Cupertino, CA) that houses processors to run both Macintosh and MS-DOS (Microsoft Corporation) software. The Workbench is available to all College of Nursing faculty, research associates, and graduate students. This article describes the purpose, methods, design, and implementation of the Workbench. The article assumes familiarity with personal computer terminology.

Computers↗

An evaluation of an automated anesthesia record keeping system.

Mayo Clinic makes use of an automated anesthesia record keeping system in its cardiovascular operating rooms. Over 20,000 anesthesia records have been recorded with this system since its installation in 1983. How successful is this system? Does it meet the needs of the anesthesiologist? What are their attitudes towards the computer? A questionnaire survey was conducted to solicit the experiences, opinions, and recommendations of the users of this system. The results are described in this paper. The feedback will be used to determine the tasks and their priority for improving the current system, and to define the requirements for future computerization to meet the needs of the anesthesiologist in the operating room.

Anesthesiology↗

Development of a computer-aided reference system for differential diagnostics support.

In a situation of uncertain diagnosis, physicians may spend valuable time consulting relevant literature, often with unsatisfactory results. Therefore, our aim was to develop a computer system which supports differential diagnostics via rapid and comprehensive searches through information in literature. Based on entered signs and symptoms our prototype is able to offer probable diagnoses. Subsequently, further examinations and tests are suggested to confirm or exclude a certain disease. Thus, the final diagnosis is made gradually by differentiation of possible diseases. Our first attempt consisted in representing knowledge in a rule-based PROLOG system. However, because nearly all information for a sign-oriented differential diagnosis can be represented with very few relations only, we turned to a fact-oriented representation of signs and diseases. Access was possible via PROLOG or an imperative programming language. The index-sequential access on a fact-oriented representation of knowledge was suitable to manage a large knowledge base, which is necessary for a thorough differential diagnosis. A pointer structure was recently examined in order to handle different object-to-object relations. Efficient information processing is now possible which provides short response times using even broad knowledge bases.

Diagnosis, Computer-Assisted↗

Expert systems for the prediction of ovulation: comparison of an expert system shell (Expertech Xi Plus) with a program written in a traditional language (BASIC).

The use of an expert system shell (EXPERTECH Xi Plus) in the construction of an expert system for the diagnosis of infertility has been evaluated. A module was devised for predicting ovulation from the medical history alone. Two versions of this system were constructed, one using the expert system shell, and the other using QuickBASIC. The two systems have been compared with respect to: (1) ease of construction; (2) ease of knowledge base update; (3) help and explanation facilities; (4) diagnostic accuracy; (5) acceptability to patients and clinicians; (6) user-friendliness and ease of use; (7) use of memory space; and (8) run time. The responses of patients and clinicians were evaluated by questionnaires. The predictions made by the computer systems were compared to the conclusions reached by clinicians and to the "gold standard" of day 21 progesterone. The conclusions of this pilot study are: (1) the construction of this expert system was NOT facilitated by the use of this expert system shell; (2) update of the knowledge base was not facilitated either; (3) the expert system shell offered built-in help and explanation facilities, but as the system increased in complexity these became less useful; (4) after initial adjustment of decision thresholds the diagnostic accuracy of the system equalled that of the clinician; (5) the patient response to computer history-taking was very favorable but much less favorable to computer diagnosis; (6) the clinicians took a positive attitude to computer diagnosis; (7) the systems were easy to use; (8) the expert systems shell required much more memory space and had a much slower response time than the system written in BASIC.

Diagnosis, Computer-Assisted↗

ClinQuery: searching a large clinical database.

We designed a user-friendly computer program that permits physicians to use clinical and demographic descriptors to search a hospital's clinical database for purposes of patient care, teaching, and research. For example, the user can identify all admissions in which diabetic ketoacidosis was diagnosed, the serum bicarbonate level was under 12 mmol/liter, and the length of stay exceeded 7 days. Once particular admissions have been identified, all data stored in the computerized record can be displayed. Authorized persons can also request the patient's complete medical record for further study. Over a 5-year period, 895 doctors, nurses, medical students, and hospital administrators used Clin-Query to search the clinical database of Boston's Beth Israel Hospital 3724 times. They displayed detailed information on 72,489 patients and requested the complete medical record 5477 times. Responses to a computer-based questionnaire indicated that 16% of the searches were performed for patient care, 38% for clinical research, 16% for teaching and education, 12% for hospital administration, and 18% for general exploration. We conclude that physicians and allied personnel will repeatedly examine and analyze aggregate clinical information when they are provided with the appropriate tools.

Hospital Information Systems↗

Bibliographic retrieval: a survey of individual users of MEDLINE.

The National Library of Medicine (NLM) has been providing online access to the MEDLINE database for nearly 20 years. In recent years, there has been a shift in the composition of the user population. Nearly half the online access codes are now held by individuals who conduct their own searches of the database. The NLM has conducted a survey to identify the demographic features of this end-user population, their reasons for searching the database, their methods of access, and their satisfaction with MEDLINE as available on the NLM system.

Attitude to Computers↗

[Expert systems in oncology: concepts, problems, perspectives].

The architecture and fields of application of the expert systems in oncology are described. These systems allow systematization, developing and realizing the approximate knowledge, heuristics and algorithms of the expert-oncologists by the computer systems for solution of optimization problems of diagnosis and treatment of cancer patients. Principles of the functioning of expert systems are considered through the examples of solutions of concrete problems in oncology. Intellectual possibilities of the man-machine interaction under clinical conditions are discussed. The vistas of technological development of expert systems in oncology are evaluated.

Algorithms↗

CD-ROM MEDLINE use and users: information transfer in the clinical setting.

Effective delivery of biomedical information to health professionals depends on the availability of systems that are compatible with the information-seeking patterns of health professionals. MEDLINE is a major source of biomedical information, but has been available primarily through libraries via telecommunications networks. The recent availability of MEDLINE on CD-ROM has made it possible to provide MEDLINE directly to clinicians without the associated problems of telecommunications and online use charges. The MEDLINE on CD-ROM Evaluation Forum sponsored by the National Library of Medicine reported on clinicians' use of CD-ROM MEDLINE at seven different clinical settings. This article summarizes the findings from these sites and places them in the context of current understanding of information-seeking behaviors of health professionals. Key issues in the design and development of information technologies in the clinical setting are also articulated.

Ambulatory Care Information Systems↗

Input technology.

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Computer Peripherals↗