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Developing and Evaluating a Diversity, Equity, and Inclusion Storytelling Model in Data Courses in an Academic
1St. Catherine University, St Paul, Minnesota, VA Quality Scholar Nurse Fellow, VA Atlanta.
Abstract:
Meaningful use of data generated from electronic health records (EHRs) exerts influential impacts on every aspect of healthcare to facilitate clinically intelligent decision-making and improve healthcare outcomes. As nurses are called to chart a path of equity in healthcare, there presents a growing need of incorporating diversity, equity, inclusion (DEI) perspectives into data courses generated from academic EHRs in academic informatics education. This paper describes the development of a DEI data standard model and the evaluation of data courses residing within an academic EHR platform using a cognitive walkthrough method. Data points selected for learning activities in the evaluated data courses appeared to be predominantly clinically driven and lack DEI-informed data features. To facilitate DEI-informed graduate health informatics education and the seamless transfer of health professional students to workforces, data courses built within academic EHRs should integrate DEI-informed data measures and thinking in course curriculum design and development.
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