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PubMed · 10166948

Data mining goes multidimensional.

M Hettler
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Abstract

The success of a healthcare organization depends on its ability to acquire, store, analyze and compare data across many parts of the enterprise, by many individuals. While relational databases have been around since the 1970s, their two-dimensional structure has limited--or made impossible--the kind of cross-dimensional trend analysis so necessary to healthcare today. Enter online analytical processing (OLAP), in which servers store data in multiple dimensions, opening a world of opportunity for data-mining across the enterprise. In this issue of HEALTHCARE INFORMATICS, we feature our first report from the National Software Testing Laboratories (NSTL) about technologies that will change the way healthcare does business. A division of The McGraw-Hill Companies, NSTL is an independent software and hardware testing lab offering services that include compatibility testing, bug testing, comparison testing, documentation evaluation and usability.

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M Hettler. 1997. Data mining goes multidimensional.. https://pubmed.ncbi.nlm.nih.gov/10166948/

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Teaching clinical informatics to third-year medical students: negative results from two controlled trials.

BACKGROUND: Prior educational interventions to increase seeking evidence by medical students have been unsuccessful. METHODS: We report two quasirandomized controlled trials to increase seeking of medical evidence by third-year medical students. In the first trial (1997-1998), we placed computers in clinical locations and taught their use in a 6-hour course. Based on negative results, we created SUMSearch, an Internet site that automates searching for medical evidence by simultaneous meta-searching of MEDLINE and other sites. In the second trial (1999-2000), we taught SUMSearch's use in a 5(1/2)-hour course. Both courses were taught during the medicine clerkship. For each trial, we surveyed the entire third-year class at 6 months, after half of the students had taken the course (intervention group). The students who had not received the intervention were the control group. We measured self-report of search frequency and satisfaction with search quality and speed. RESULTS: The proportion of all students who reported searching at least weekly for medical evidence significantly increased from 19% (1997-1998) to 42% (1999-2000). The proportion of all students who were satisfied with their search results increased significantly between study years. However, in neither study year did the interventions increase searching or satisfaction with results. Satisfaction with the speed of searching was 27% in 1999-2000. This did not increase between studies years and was not changed by the interventions. CONCLUSION: None of our interventions affected searching habits. Even with automated searching, students report low satisfaction with search speed. We are concerned that students using current strategies for seeking medical evidence will be less likely to seek and appraise original studies when they enter medical practice and have less time.

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