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PubMedDate not supplied

Healthcare information systems: education lessons learned.

The educator is a key person during the implementation of a new healthcare computer system or a new software program. Computers require teamwork across departmental lines and flexibility in instructional approach. The authors share their experiences as educators at the San Francisco VA during the initiation of several new computer software packages. They examine the issues involved in this type of training and share the lessons learned.

Clinical Competence↗
PubMed1995

Benefits and lessons learned from stored electrogram information in implantable defibrillators.

Implantable defibrillators have evolved from simple event counters to sophisticated diagnostic monitoring units capable of storing electrocardiographic information surrounding arrhythmia events and device therapy. In this review, the nature and characteristics of these stored electrocardiographic recordings are discussed and examples displayed. Potential benefits and limitation of stored electrogram analysis are described with respect to both clinical utility and the ability to enhance our understanding of ventricular arrhythmogenesis. Finally, future developments to improve data storage, retrieval, and analysis are identified.

Defibrillators, Implantable↗
PubMed1994

Influence by learning how people process information.

To have a successful career in management, you have to pay more attention to refining your communication skills than you ever thought was necessary. In a survey of 100 physician executives, 94 percent felt training was needed in communication skills if you are thinking about becoming a physician executive. When recruiters talk to us about the basic requirements for physician executives, one of the things they say the person needs to have is excellent communication skills. Most people have good communication skills, but what can move you into the category of excellent is paying careful attention to how the person you are talking to processes information. You can only do this if you listen before you do much talking. What do I mean by processing information? When we get up in the morning, the world is out there separate from us. We have to take in information about that world and make decisions all day long. We don't all do this in the same way. In this article, I am going to discuss four ways to process information.

Clinical Competence↗
PubMedDate not supplied

[Development, experience and relationship patterns: psychological health from the object attachment viewpoint].

In this article the author begins to integrate different theoretical perspectives in order to develop a more comprehensive model of normative and disordered pathways of development, in which genetic heritage, maturation, and individual differences in experience all play a role in the development of individual differences in adaptation. Specifically, differences in early attachment relationships are reconceptualized in terms of learned patterns of processing of cognitive and affective information and learned behavioral strategies for eliciting caregiving from attachment figures. In this model the basic nature of the mind is to be self-correcting so as to yield increasingly sophisticated and adaptive mental and behavioral patterns.

Adaptation, Psychological↗
PubMed2001

Probability density function learning by unsupervised neurons.

In a recent work, we introduced the concept of pseudo-polynomial adaptive activation function neuron (FAN) and presented an unsupervised information-theoretic learning theory for such structure. The learning model is based on entropy optimization and provides a way of learning probability distributions from incomplete data. The aim of the present paper is to illustrate some theoretical features of the FAN neuron, to extend its learning theory to asymmetrical density function approximation, and to provide an analytical and numerical comparison with other known density function estimation methods, with special emphasis to the universal approximation ability. The paper also provides a survey of PDF learning from incomplete data, as well as results of several experiments performed on real-world problems and signals.

Algorithms↗
PubMed1985

Information processing and speech lateralization in learning-disabled children.

The relationship between information processing and speech lateralization was investigated in learning-disabled children. The Kaufman Assessment Battery for Children (K-ABC) assessed simultaneous and successive processing while a dichotic listening paradigm with free recall and directed attention conditions assessed speech lateralization. A three-factor ANOVA design conducted on the dichotic data revealed that normal children demonstrated stronger right ear advantage (REA); whereas learning-disabled showed weaker right ear advantage. Further, lambda analyses conducted on individual subjects revealed that the learning-disabled did not demonstrate the REA, were not biased attenders, and did not get more right ear than left ear items when attention was directed to one ear. Multiple-regression analysis was used to predict sequential processing from the dichotic data for both groups. Learning-disabled children demonstrated a substantial deficit in sequential processing as compared to normal children. These results indicate that learning-disabled children may not have adequate cerebral lateralization of receptive speech processes, shift their attention more readily, and are more inadequate in sequential processing that presumably subserves language functioning. Perhaps learning-disabled children have deficiencies of processor capacity of salient areas of the left (language) hemisphere.

Attention↗
PubMed1975

Primary care career choices and medical student learning styles.

The study reported here focused on the influence of medical students' learning styles (that is, how they prefer to receive and use information in learning and problem-solving situations) on (a) their choice of a medical career type and (b) their sources of information and influence in making that choice. The results suggest that those students with learning styles that are associated with primary care careers are also those who are dissatisfied with a traditional basic science curriculum and are influenced more than the average student by concrete work experiences, as well as identification with role models, in making a career decision. Among the implications of these results for medical school admissions, curricula, and faculty is the possibility that more students might consider primary care careers if more primary care experiences and role models were available in medical school.

Career Choice↗