Publications by authors named "Gorry G"

Following a novel computational formalism, the thin filament of muscle can be modeled by a computational machine containing a large number of finite automata that have one-to-one correspondence with the constituent protein molecules. Computer graphics can be used to visualize the correspondence between the states of finite automata and the configurations of protein molecules according to the structural data. The dynamic simulation of the muscle filament that corresponds to the concurrent state transitions of finite automata can be represented as a sequence of video images.

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At Baylor College of Medicine, we are developing the technical and intellectual resources needed to realize the Integrated Academic Information Management System (IAIMS) concept fully. The substantial technical, organizational, and financial commitments involved demand that we align our efforts with the strategic purposes of the college. The support of science, therefore, has become the principal, but not exclusive, focus of Baylor's IAIMS effort.

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Medical informatics and institutional strategy.

Proc Annu Symp Comput Appl Med Care

February 1993

Programs in medical informatics can help academic medical centers make effective use of information technology. But to achieve the greatest strategic benefits from these programs, an institution must forge proper linkage between informatics and its overall effort to deploy computing in research, education and patient care. Here we explore this linkage and the ways in which it can be established and managed.

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The MEDLINE Retriever.

Proc Annu Symp Comput Appl Med Care

February 1993

Baylor College of Medicine has developed the MEDLINE Retriever, a tool to query MEDLINE, the data-base of medical literature at the National Library of Medicine. The MEDLINE Retriever communicates via the Internet to achieve excellent response time for MEDLINE queries. It uses the X Window System and the Motif toolkit, and employs the Knowbot Operating Environment developed by the Corporation for National Research Initiatives.

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During the past several years, Baylor College of Medicine has made a substantial commitment to the use of information technology in support of its corporate and academic programs. The concept of an Integrated Academic Information Management System (IAIMS) has proved central in our planning, and the IAIMS activities that we have undertaken with funding from the National Library of Medicine have proved to be important extensions of our technology development. Here we describe our Virtual Notebook system, a conceptual and technologic framework for task coordination and information management in biomedical work groups.

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We believe that the outline of a promising approach to the study of expert clinical problem-solving is emerging. This process involves collecting as verbal transcripts the thoughts of experienced clinicians engaged in simulated clinical tasks and analyzing these transcripts to formulate theories of problem-solving tactics and strategies. In turn, these theories are embodied in a computer program that simulates the problem-solving process.

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Using recently developed statistical techniques, we estimated joint probability density functions for plasma cholesterol and plasma triglyceride concentrations in 12 subgroups of 1847 males with angiographically demonstrated coronary artery disease. The subjects were grouped by patterns of age, history of hypertension, history of smoking and severity of disease. From the estimated joint probability density functions, we determined the way in which the risk of severe vs moderate coronary artery disease varied with the joint variation of plasma lipids for given combinations of the other risk factors.

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In a study of 300 chronically ill patients who were referred from an outpatient department to community health centers in a public hospital district, we found that the number of visits made, the amount of medicine prescribed, and the number of tests ordered all increased markedly for those patients in the 6 months immediately following their referral. As a result, there was substantial increase in the charges incurred for their care. The care itself changed as well.

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To characterize patterns of scientific productivity in a medical school faculty, the authors assessed the quantity and apparent scientific quality of publications by a large sample of the full-time faculty at Baylor College of Medicine. The apparent quality of an article in a given journal was taken to be the average extent to which articles in that journal are cited. Productivity varied greatly among the faculty members; a few prolific authors produced 10 times as much as the average of their colleagues, and a substantial fraction of the faculty published nothing in a four-year period.

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To extend the understanding of the clinical problem-solving process, we have analyzed the tape-recorded behavior of experienced clinicians engaged in "taking the history of the present illness" from a simultated patient. We showed that specific diagnostic hypotheses were generated often with little more information than presenting complaints, that testing of diagnostic hypotheses consisted of various case-building strategies for corroborating and discrediting hypotheses, and that the process of information gathering included techniques to evaluate the validity of data and assess the need for immediate action. Overall strategies were more difficult to discern but included a focused approach, a systemic exploration method, and a chronologic technique.

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When a diagnostic test is reported as normal, the clinician generally uses it only to rule out certain diseases. However, if properly interpreted, the normal value may help to differentiate among diagnoses that yield normal results with different frequencies. A simple method permits the extraction of such information.

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The administration of digitalis by experienced cardiologists has been examined and a prototypical computer program has been developed which captures portions of their expertise. The new program first constructs a patient-specific model upon which to base the determination of dosage and then uses feedback information about a variety of clinical aspects of the patient's response to modify its recommendations. The model reflects both the program's knowledge of pharmacokinetics and those special features of the patient's condition which may alter his response to therapy.

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Response time, i.e., the time from dispatch of an ambulance to its arrival at the scene of an emergency, is an important measure of performance in an urban ambulance system.

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