A valuable resource instructors can use. Teaching TRIPP (Teaching Resource for Instructors in Prehospital Pediatrics).
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Medical language processing has focused until recently on a few types of textual documents. However, a much larger variety of document types are used in different settings. It has been showed that Natural Language Processing (NLP) tools can exhibit very different behavior on different types of texts. Without better informed knowledge about the differential performance of NLP tools on a variety of medical text types, it will be difficult to control the extension of their application to different medical documents. We endeavored to provide a basis for such informed assessment: the construction of a large corpus of medical text samples. We propose a framework for designing such a corpus: a set of descriptive dimensions and a standardized encoding of both meta-information (implementing these dimensions) and content. We present a proof of concept demonstration by encoding an initial corpus of text samples according to these principles.
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The use of handbooks is becoming more widespread in hospital medicine. A review of their use in British orthopaedics received 78 replies (29 per cent) representing 94 (30 per cent) of the orthopaedic units in the United Kingdom. Seventy-five per cent used a handbook, were preparing one or would like to have one. Recommendations are given for the content and format of a handbook, a specimen of which has been prepared.
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OBJECTIVE: To compare the self-reported information needs of rural and nonrural primary care physicians. DESIGN AND PARTICIPANTS: Mail survey of active non-academic primary care physicians. DATA COLLECTION: A 60 item questionnaire regarding 1) demographic and practice setting data; 2) medical information needs; 3) medical knowledge resource availability and use; and 4) physician information seeking behavior. MAIN RESULTS: The response rate was higher among rural than non-rural physicians (55% vs. 42%, p< 0.001) and among Family Physicians than others (Family Medicine 53%, Internal Medicine 43%, Pediatrics 48%, p=0.015.) Rural physicians reported working more hours per week (45.3 vs. 42.7, p=0.033,) and seeing more patients per day (24.6 vs. 22.3, p=0.005) than their nonrural counterparts. Both groups reported a median of about 1 question for every 10 patients they see, with great variance among responses. Both groups reported pursuing answers to about 57% of their questions, and finding answers to about 70% of those they pursue. Knowledge resource preferences of the two groups were similar. Both groups reported frequent use of consultants, drug compendia, colleagues, and textbooks, and little use of library- or computer-based sources. Compared to nonrural physicians, rural physicians reported less frequent use of consultants, colleagues, librarians, and bound journals. These differences were small, and paralleled differences in availability. The two groups had equal access to textbooks and drug compendia, but for rural physicians, other resources were locally available significantly less often. CONCLUSIONS: Rural and nonrural primary care physicians reported equal information needs, similar information seeking, and similar resource preferences. Rural physicians reported less access to some information resources, but little difference in use of resources. Further studies are needed to determine how these differences impact rural practitioners and their patients.
Intermountain Health Care has integrated the electronic medical record (EMR) with online information resources in order to create easy access to a knowledge base which practicing physicians can use at the point of care. When a user is reviewing problems/diagnosis, medications, or clinical laboratory test results, they can conveniently access a "pertinent paragraph" of reference literature that pertains to the clinical data in the EMR. Using terminology first coined by Cimino1, we call this application the "infobutton." We describe the architectural issues involved in linking our electronic medical record with a structured laboratory knowledge base. The application has been well received as noted by anecdotal comments made by physicians and usage of the application.
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