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Biomedical subjects

W R Ayers

Publications and source records attributed to W R Ayers.

17 recordsLinked to original sources
PubMed1992

Not so long ago.

Explore the source record for details and available documents.

Attitude to Computers↗
PubMed1990

A field test of the TIME patient simulation model.

The Technological Innovations in Medical Education (TIME) Project has created an interactive videodisc patient-simulation model that provides faculty with a new method for patient-centered teaching in the medical school classroom. The TIME model is designed to be controlled by a professor in the classroom setting, and incorporates voice recognition technology and video dramatization to create a believable patient encounter. Under the auspices of the Lister Hill National Center for Biomedical Communications, National Library of Medicine, where the Project originated in 1983, three medical schools participated in a field test of this "high-tech" model. Six faculty members made ten classroom presentations of two TIME simulations to 306 second-year medical students. The principal finding was that, in a group setting, a large majority of the students at all three schools became individually committed to the care and management of the simulated patient. They acted as if the patient's problems were real and left the session feeling as though they had interacted with an actual person. Therefore, in terms of simulating a real patient, the TIME patient-simulation model was validated, providing the basis for the development of new patient-centered methods to teach and test medical students in the classroom setting. The Project has been at the Georgetown University School of Medicine, where the model is being introduced into the existing curriculum, since 1988. It is currently being used as a part of the final examination for second-year students and in discussion-group settings for fourth-year students in the internal medicine clerkship. A field test is also under way using the TIME model to assess the clinical performance of third-year students.

Clinical Competence↗
PubMed1988

Implementing RECONSIDER, a diagnostic prompting computer system, at the Georgetown University Medical Center.

RECONSIDER, a computer program for diagnostic prompting developed at the University of California, San Francisco, has been implemented at the Georgetown University Medical Center as part of the Integrated Academic Information Management System Model Development grant project supported by the National Library of Medicine. The system is available for student use in the Biomedical Information Resources Center of the Dahlgren Memorial Library. Instruction on use of the computer system is provided by the library and instruction on medical use of the knowledge base is directed by the faculty. The implementation, capabilities, enhancements such as the addition of Current Medical Information and Terminology (5th ed.), and evaluation of the system are reported.

Computer User Training↗
PubMed1978

The use of computerized tomography in the diagnosis of pulmonary nodules.

Pulmonary nodules, in particular the solitary pulmonary nodule or coin lesion, have presented diagnostic difficulties to the specialist in chest diseases. The controversy over managing such lesions ultimately involves the question of whether a given nodule is benign or malignant, and the reports of diagnostic experiences vary considerably. The criteria for diagnosing and managing pulmonary nodules prior to the advent of computerized tomography (CT) were based on anatomic descriptions from conventional and specialized X-ray techniques and on pathological consideration of tissues obtained by invasive techniques. The mathematical manipulation of the absorption coefficients of nodular lesions in the lungs, obtained in a non-invasive manner using CT, can provide additional criteria for diagnosing such lesions. In our study 20 nodules (6 malignant, 14 benign) were retrospectively studied with CT, and from the results it appears that there are distinctive patterns for malignant and benign lesions. We have explained our procedure in this paper and presented an illustrative case study.

Adult↗
PubMedDate not supplied

Systems to support clinical decisions: automated medical signal analysis.

The benefits and capabilities of an automated medical signal analysis system that can lead to more effective patient care are identified, the capabilities of different types of systems are briefly mentioned, and automated systems that support nominative and managerial decisions are described. The need for the practicing physician to anticipate computer hardware limitations and potential errors in programming are briefly discussed.

Decision Making↗