RT Journal Article
SR Electronic
T1 Mining reflective continuing medical education data for family physician learning needs
JF BMJ Health & Care Informatics
FD BMJ Publishing Group Ltd
SP 439
OP 440
DO 10.14236/jhi.v23i1.834
VO 23
IS 1
A1 Denice Lewis
A1 Pierre Pluye
A1 Charo Rodriguez
A1 Roland Grad
YR 2016
UL http://informatics.bmj.com/content/23/1/439.abstract
AB 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.