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Evaluation of a Training Program to Improve Organizational Capacity for Health Systems Analytics

2019·4 Zitationen·Applied Clinical InformaticsOpen Access
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4

Zitationen

8

Autoren

2019

Jahr

Abstract

OBJECTIVE: The Leadership in Analytics and Data Science (LEADS) course was evaluated for effectiveness. LEADS was a 6-month program for working biomedical and health informatics (BMHI) professionals designed to improve analytics skills, knowledge of enterprise applications, data stewardship, and to foster an analytics community of practice through lectures, hands-on skill building workshops, networking events, and small group projects. METHODS: The effectiveness of the LEADS course was evaluated using the Kirkpatrick Model by assessing pre- and postcourse knowledge, analytics capabilities, goals, practice, class lecture reaction, and change in the size of participant professional networks. Differences in pre- and postcourse responses were analyzed with a Wilcoxon signed rank test to determine significance, and effect sizes were computed using a z-statistic. RESULTS: = 0.007). Changes in practice patterns mirrored those in self-reported capability. On average, the participant professional network doubled. CONCLUSION: LEADS was the first course targeted to working BMHI professional at a large academic medical center to have a formal effectiveness evaluation be published in the literature. The course achieved the goals of expansion of BMHI knowledge, skills, and professional networks. The LEADS course provides a template for continuing education of working BMHI professionals.

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Big Data and Business IntelligenceElectronic Health Records SystemsArtificial Intelligence in Healthcare and Education
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