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Results for “Medical Informatics Applications”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

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At least 1,243 records · Page 69Linked to original sources
PubMed1986

Clinical information systems--a review.

TWO HYPOTHESES ARE OFFERED IN THIS REVIEW OF CLINICAL INFORMATION SYSTEMS: that the technology is mature, and that benefits to patient care can be shown. More than ten years of operational experience exist with each general class of clinical information systems, and these systems favorably affect staff, reduce errors, improve accessibility to medical information and provide alerts and reminders. To reinforce the maturity hypothesis, most cited studies are also a decade old. Clinically oriented systems are practical and can improve the health care process-a key goal in this era of prepaid or prospective payment for services.

Ambulatory Care Information Systems↗
PubMed1995

[Prevention and chemoprevention in cancerology. A quantitative analysis of medical literature].

Prevention is seen as a major concept of medical literature even distorted by two prisms: search through key-words and an unique referring: The Medline data bank. This topic is as important as "cancer": found in more than 8% of all the articles of this data base. Nine years have been studied (1985-1993) and the mean rise for the appearance of the word "prevention" is +25% a year. The topic "chemoprevention" is quantitatively unimportant: in 1993 0.07% of the whole corpus mentioned it, and as few as 0.8% of the prevention-related articles, however this topic has demonstrated a dramatic rise: a mean of +150% a year through the nine years studied (and +250% between 1992 and 1993). This topic of "chemoprevention" appears specially in connection with cancerology which seems to be a preferential field for this approach: more than 80% of the articles selected by "chemoprevention" refers also to "cancer". Finally, in the restrictive frame of "the upstream treatment", search on "hope" topic evokes a shift from early diagnosis to prevention.

Abstracting and Indexing↗
PubMed1995

The role of information technology in health care cost containment.

There is currently global concern over rising healthcare costs which has come at a time when many countries are beginning to see the tangible benefits of implementing information technology (IT) in healthcare. By having the right IT infrastructure, health facilities can achieve substantial cost savings by cutting down on hassles and wastage through timely availability of information. This paper examines the areas in healthcare in which information technology has been demonstrated to have effectively contributed to cost savings.

Cost Control↗
PubMedDate not supplied

The Virtual Hospital.

Explore the source record for details and available documents.

Computer Communication Networks↗
PubMedDate not supplied

HyperDOC.

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Computer Communication Networks↗
PubMedDate not supplied

Use of genetic algorithms to solve biomedical problems.

Many problems in the biomedical sciences can be formulated as searches in some appropriate space. The genetic algorithm offers a domain-independent approach to searching that is often able to provide good answers to questions with difficult search spaces. This paper discusses when to use this genetically inspired approach, how to model problems as searches, how to define appropriate spaces, representations, and fitness functions, and how to implement a program using a genetic algorithm.

Algorithms↗
PubMed1993

Integrated clinical decision support using an object-oriented database management system.

Clinical decision support systems assist in diagnosis, alert to abnormal conditions, and manage patient data. Such systems tend to emphasize one of these features at the expense of the others and tend to be developed on an ad hoc basis. In this work, a technique is developed for creating an integrated clinical decision support system wholly within a general-purpose object-oriented database management system. The diagnostic and alerting requirements are accomplished with encapsulated methods and a novel use of the object-oriented database management class-hierarchy structure. The patient data management requirement is satisfied by the normal data management capabilities of the object-oriented DBMS.

Aphasia↗
PubMedDate not supplied

Knowledge engineering of expert systems for nursing.

Expert system technology and its derivatives will be core components of future health care information systems. Nursing presently lacks sufficient knowledge engineering resources to develop and implement expert system technology productively. In this article, knowledge engineering and its implications for nursing are described.

Artificial Intelligence↗
PubMed1994

Computerized databases for emergency care: what impact on patient care?

A field-based evaluation is conducted of a Clinical Computerized Information System (CCIS). Following training, the use of the CCIS database, word processing and other programs by thirteen full-time practicing emergency physicians in two urban emergency departments of a University-associated teaching hospital was studied over a one-year period. A tracking program automatically logged frequency and duration of use by the physicians, and user satisfaction was assessed by a reliable and validated questionnaire instrument. Based on utilization data and verbal reports of these physicians, CCIS database searching was not only found to be easy-to-learn but was readily accessible during emergency shifts. Individual physicians were found to perform an average of 3.5 searches per month lasting a mean search time of 8 min. Positive notes about the CCIS system included ease-of-use, accuracy of data, accessibility of system, and value of output while negative perceptions included a lack of integration with other systems, a lack of system completeness, and a high subscription cost. It was suggested that a less costly telephone link to a high-volume Centre would be desirable in actual implementation of the system.

Attitude of Health Personnel↗