ORIGINAL RESEARCH |
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Year : 2018 | Volume
: 1
| Issue : 2 | Page : 55-60 |
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Text mining as a method for examining the alignment between educational outcomes and the workforce needs
Jacqueline E McLaughlin1, Carly Lupton-Smith2, Michael D Wolcott3
1 Division of Practice Advancement and Clinical Education, Center for Innovative Pharmacy Education and Research, UNC Eshelman School of Pharmacy, Chapel Hill, NC, USA 2 Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA 3 Division of Practice Advancement and Clinical Education, Center for Innovative Pharmacy Education and Research, UNC Eshelman School of Pharmacy; Department of Oral and Craniofacial Health Sciences, UNC School of Dentistry, Chapel Hill, NC, USA
Correspondence Address:
Dr. Jacqueline E McLaughlin Division of Practice Advancement and Clinical Education, Center for Innovative Pharmacy Education and Research, UNC Eshelman School of Pharmacy, Chapel Hill, NC USA
 Source of Support: None, Conflict of Interest: None  | 2 |
DOI: 10.4103/EHP.EHP_25_18
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Introduction: Job descriptions outline competencies employers consider requisite for success and can be used to inform curriculum design. This paper demonstrates the use of text mining to determine the extent to which key educational outcomes align with job descriptions. Methods: Eighty pharmacist job descriptions containing a total of 12,064 words were text mined using the “bag of words” method. Results: A majority of the 20 most frequent job description words were also present in the pharmacy accreditation standards and American Association of Colleges of Pharmacy entrustable professional activity statements. However, several top 20 words were not, including customer, dispense, department and company. Chi-squared tests revealed text differences between community and health-system pharmacy, including patient, manage, information, and customer, which may have implications for pharmacy schools preparing students for various practice settings. Conclusion: The methodology described here provides a feasible and efficient approach to analyzing current workforce expectations and mapping them to educational outcomes.
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