Biomedical subjects

Howard R Strasberg

Publications and source records attributed to Howard R Strasberg.

2 recordsLinked to original sources

PubMed2003

SKOLAR MD: a model for self-directed, in-context Continuing Medical Education.

UNLABELLED: SKOLAR has implemented a web-based CME program with which physicians can earn AMA Category 1 credit for self-directed learning. METHODS: Physicians researched their questions in SKOLAR and applied for CME. Physician auditors reviewed all requests across two phases of the project. A selection rule set was derived from phase one and used in phase two to flag a subset of requests for detailed review. The selection rule set is described. RESULTS: In phase one, SKOLAR received 1039 CME applications. Applicants frequently found their answer (94%) and would apply it clinically (93%). A linear regression analysis comparing time awarded to time requested (capped at actual time spent) had R2=0.79. DISCUSSION: We believe that that this self-directed approach to CME is effective and an important complement to traditional CME programs. However, selective audit of self-directed CME requests is necessary to ensure validity of credits awarded.

Computer-Assisted Instruction↗

PubMed2003

KnowledgeLink update: just-in-time context-sensitive information retrieval.

Medical knowledge expands at a pace that makes it impossible for the individual clinician to keep up, especially for medications. Medication-related queries are the most common type of query that typically go unanswered during the course of providing care.1 Unanswered questions may result in errors, as found in one study evaluating systems failures associated with adverse drug events. This study found that better information might have prevented half of serious medication errors, and that lack of drug-specific knowledge accounted for the single largest proportion of these events (29%).2 While this information was available somewhere (either on paper or electronically), it was not at the providers' fingertips. Information technology should anticipate clinicians' needs, and bring the information they require to the point of care. For this purpose, we developed an application extender called KnowledgeLink, which provides "just-in-time" context-sensitive information retrieval for drug-related queries.

Drug Therapy, Computer-Assisted↗