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Computer-assisted learning in the teaching of anaesthesia.

A comparison of computer-assisted learning and small tutorial group teaching was carried out in the instruction of final year medical students in anaesthesia. The scores attained by fifteen of the sixteen students were higher after computer-assisted learning than after small group teaching. Statistical analyses of the results demonstrated that in this study computer-assisted learning was significantly better than small tutorial teaching.

Anesthesiology

Attitudes of medical undergraduates in Glasgow to computer-assisted learning.

Computer-assisted learning (CAL) has been introduced as part of the undergraduate teaching course in general practice during the penultimate year of the medical course. The student is given an opportunity to make clinical decisions and to manage a case over a significant time scale. The attitudes of the students are favourable to this method of instruction.

Attitude of Health Personnel

Quality assessment and the art of medicine: the anatomy of laceration care.

Assuring high quality medical care has remained an elusive goal because of several problems which have hampered development of effective medical audit programs: inadequate patient data, unreasonable evaluative criteria and insensitive audit procedures. The present study demonstrates the use of a clinical algorithm to help overcome these problems. An examination of medical record data from a series of 703 laceration patients treated in an emergency service yielded only 27 cases (4 per cent) with medical records sufficiently complete to use for auditing physician compliance with algorithmic criteria. Substituting a structured checklist for the handwritten note increased this rate to 86 per cent. A computer-assisted branching audit of 1,400 laceration cases demonstrated that 1) physician compliance with an algorithmic instruction varied significantly (p less than .001) according to the specific instruction, and 2) compliance with a given instruction varied significantly (p less than .001) across different providers. These results underscore the need for medical audit with educational feedback which is provider specific.

Connecticut