The development of core learning outcomes relevant to clinical practice: identifying priority areas for genetics education for non-genetics specialist registrars.
ABSTRACT Advances in medical genetics are increasingly impacting on clinical practice outside specialist genetic services. It is widely acknowledged that physicians will need to use genetics knowledge and skills in order to incorporate these advances into patient care. In order to determine priority areas for genetics education for non-genetics specialist registrars, an educational needs assessment was undertaken. Consultants from cardiology, dermatology, neurology and genetics identified genetics knowledge, skills and attitudes required by non-genetics specialty trainees. From these, and informed by trainees' views of genetic education, six genetics learning outcomes that non-genetics medical specialty trainees should attain by the end of their training have been identified, each linked to core knowledge, skills and attitudes. These core concepts can be taught with reference to specialty-specific conditions to highlight their relevance to clinical practice. The results of this study are informing the genetic component of postgraduate medical training curricula.
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ABSTRACT: OBJECTIVE: The completion of sequencing the human genome in 2003 has spurred the production and collection of genetic data at ever increasing rates. Genetic data obtained for clinical purposes, as is true for all results of clinical tests, are expected to be included in patients' medical records. With this explosion of information, questions of what, when, where and how to incorporate genetic data into electronic health records (EHRs) have reached a critical point. In order to answer these questions fully, this paper addresses the ethical, logistical and technological issues involved in incorporating these data into EHRs. MATERIALS AND METHODS: This paper reviews journal articles, government documents and websites relevant to the ethics, genetics and informatics domains as they pertain to EHRs. RESULTS AND DISCUSSION: The authors explore concerns and tasks facing health information technology (HIT) developers at the intersection of ethics, genetics, and technology as applied to EHR development. CONCLUSIONS: By ensuring the efficient and effective incorporation of genetic data into EHRs, HIT developers will play a key role in facilitating the delivery of personalized medicine.Journal of the American Medical Informatics Association 06/2013; · 3.57 Impact Factor
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ABSTRACT: Learning outcomes are typically developed using standard group-based consensus methods. Two main constraints with standard techniques such as the Delphi method or expert working group processes are: (1) the ability to generate a comprehensive set of outcomes and (2) the capacity to reach agreement on them. We describe the first application of Group Concept Mapping (GCM) to the development of learning outcomes for an interdisciplinary module in medicine and engineering. The biomedical design module facilitates undergraduate participation in clinician-mentored team-based projects that prepare students for a multidisciplinary work environment. GCM attempts to mitigate the weaknesses of other consensus methods by excluding pre-determined classification schemes and inter-coder discussion, and by requiring just one round of data structuring. Academic members from medicine and engineering schools at three EU higher education institutions participated in this study. Data analysis, which included multidimensional scaling and hierarchical cluster analysis, identified two main categories of outcomes: technical skills (new advancement in design process with special attention to users, commercialization and standardization) and transversal skills such as working effectively in teams and creative problem solving. The study emphasizes the need to address the highest order of learning taxonomy (analysis, synthesis, problem solving, creativity) when defining learning outcomes.Perspectives on medical education. 12/2013;
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ABSTRACT: There is broad agreement that healthcare professionals require fundamental training in genomics to keep pace with scientific advancement. Strong models that promote effective genomic education, however, are lacking. Furthermore, curricula at many institutions are now straining to adapt to the integration of additional material on next-generation sequencing and the bioethical and legal issues that will accompany clinical genomic testing. This article advocates for core competencies focused on job function, which will best prepare providers to be end-users of healthcare information. In addition, it argues in favor of online and blended learning models that incorporate student genotyping and specific training in the ethical, legal and social issues raised by genomic testing.Personalized Medicine 01/2014; 11(1):89. · 1.51 Impact Factor