Mining reflective continuing medical education data for family physician learning needs
A mixed methods research (sequential explanatory design) studied the potential of mining the data from the consumers of continuing medical education (CME) programs, for the developers of CME programs. The quantitative data generated by family physicians, through applying the information assessment m...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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BCS, The Chartered Institute for IT
2016-04-01
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| Series: | Journal of Innovation in Health Informatics |
| Subjects: | |
| Online Access: | https://hijournal.bcs.org/index.php/jhi/article/view/834 |
| _version_ | 1811196282994163712 |
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| author | Denice Colleen Lewis Pierre Pluye Charo Rodriguez Roland Grad |
| author_facet | Denice Colleen Lewis Pierre Pluye Charo Rodriguez Roland Grad |
| author_sort | Denice Colleen Lewis |
| collection | DOAJ |
| description | A mixed methods research (sequential explanatory design) studied the potential of mining the data from the consumers of continuing medical education (CME) programs, for the developers of CME programs. The quantitative data generated by family physicians, through applying the information assessment method to CME content, was presented to key informants from the CME planning community through a qualitative description study.The data were revealed to have many potential applications including supporting the creation of CME content, CME program planning and personal learning portfolios. |
| first_indexed | 2024-04-12T00:55:51Z |
| format | Article |
| id | doaj.art-90b53e985034451ca180c5ffb3991ea4 |
| institution | Directory Open Access Journal |
| issn | 2058-4555 2058-4563 |
| language | English |
| last_indexed | 2024-04-12T00:55:51Z |
| publishDate | 2016-04-01 |
| publisher | BCS, The Chartered Institute for IT |
| record_format | Article |
| series | Journal of Innovation in Health Informatics |
| spelling | doaj.art-90b53e985034451ca180c5ffb3991ea42022-12-22T03:54:36ZengBCS, The Chartered Institute for ITJournal of Innovation in Health Informatics2058-45552058-45632016-04-0123110.14236/jhi.v23i1.834782Mining reflective continuing medical education data for family physician learning needsDenice Colleen Lewis0Pierre Pluye1Charo Rodriguez2Roland Grad3University of Ottawa, CanadaMcGill University, CanadaMcGill University, CanadaMcGill University, CanadaA mixed methods research (sequential explanatory design) studied the potential of mining the data from the consumers of continuing medical education (CME) programs, for the developers of CME programs. The quantitative data generated by family physicians, through applying the information assessment method to CME content, was presented to key informants from the CME planning community through a qualitative description study.The data were revealed to have many potential applications including supporting the creation of CME content, CME program planning and personal learning portfolios.https://hijournal.bcs.org/index.php/jhi/article/view/834Continuing Medical EducationNeeds AssessmentClinical Informatics |
| spellingShingle | Denice Colleen Lewis Pierre Pluye Charo Rodriguez Roland Grad Mining reflective continuing medical education data for family physician learning needs Journal of Innovation in Health Informatics Continuing Medical Education Needs Assessment Clinical Informatics |
| title | Mining reflective continuing medical education data for family physician learning needs |
| title_full | Mining reflective continuing medical education data for family physician learning needs |
| title_fullStr | Mining reflective continuing medical education data for family physician learning needs |
| title_full_unstemmed | Mining reflective continuing medical education data for family physician learning needs |
| title_short | Mining reflective continuing medical education data for family physician learning needs |
| title_sort | mining reflective continuing medical education data for family physician learning needs |
| topic | Continuing Medical Education Needs Assessment Clinical Informatics |
| url | https://hijournal.bcs.org/index.php/jhi/article/view/834 |
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