PubMed · 11387749
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M Menduno. 2000. Docs.com.. https://pubmed.ncbi.nlm.nih.gov/11387749/
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BACKGROUND: Although computer-assisted education has been used to augment education in many areas, there are few studies of programs designed to replace lectures in a medical curriculum. OBJECTIVE: To test whether a thoughtfully designed computer program can replace a standard lecture in a pediatrics curriculum while teaching the subject matter equally well. METHODS: A computer program was developed to teach the Draw-a-Person developmental test using the multimedia-authoring tool Director. One of us (A.E.C.) tested and modified the program several times during its creation after submitting it to several objective evaluators. Thirty-nine students taking the clinical pediatrics rotation were chosen by month to interact with the program or attend the lecture. All students then scored 3 drawings and assigned them a developmental age according to the Draw-a-Person test rules. Students assigned to the computer program also completed a questionnaire evaluating the program in several subjective areas. A t test for 2 samples assuming equal variance was used to analyze the test results. RESULTS: Students receiving the lecture (control group) scored the 3 drawings as 5.43 years (age range, 4.5-8 years), 9.08 years (age range, 7-12 years), and 3.5 years (age range, 2-5 years), respectively. Those using the computer program (study group) scored the 3 drawings as 5.91 years (age range, 5-7 years), 7.68 years (age range, 7-8 years), and 4.34 years (age range, 3-5 years), respectively. The correct answers for the ages were 6, 7.75, and 4.25 years, respectively. A t test for 2 samples assuming equal variance showed that students using the computer program performed better on all 3 drawings (P<.05, P<.02, and P<.002, respectively). CONCLUSIONS: Students using the computer program were more accurate than students attending the lecture when scoring drawings and estimating a developmental age from them. These results support the conclusion that a thoughtfully designed computer program can replace a standard lecture in a pediatrics curriculum.
OBJECTIVES: We designed an Internet-based surveillance network that linked community clinic diagnoses with viral isolation rates and admission patterns at a related children's hospital. We hypothesized that community surveillance would successfully predict subsequent hospital admissions and laboratory viral isolations. Secondarily, we expected the network to monitor trends in disease and that posting this information on a Web site would be useful to physicians in daily practice. STUDY DESIGN: Data were collected from December 1999 through August 2000. Information was summarized and posted weekly on a Web site. Active public piloting of the site took place during August 2000, after which the project was evaluated through an electronic mail survey. The predictive ability of the community surveillance data was evaluated by multivariate linear regression. RESULTS: Increases in the community diagnosis of most syndromes under surveillance, including lower respiratory infections (adjusted R(2) = 0.7086) and gastroenteritis (adjusted R(2) = 0.6532) successfully predicted an increase in subsequent hospital admissions. Community surveillance also successfully predicted laboratory isolation of associated viral organisms. Physicians completing the evaluation (N = 11) indicated that the site provided information useful in daily practice for both physician and parent education. CONCLUSIONS: An Internet-based surveillance network linking a hospital with community physicians is beneficial to the hospital in predicting waves of severe cases requiring admission and reciprocally provides useful information to physicians in daily practice regarding the incidence and cause of seasonal disease in the community.
Even though the success of a physician order entry (POE) system depends on meeting physicians' needs, no studies of POE systems report using standard, formal methods for assessing physician needs and how to design the best technology to meet those needs. To increase the chance of a successful POE implementation, the article proposes that techniques from the field of human factors engineering (HFE) be used to enhance the interaction between technology and the physicians.