Title |
Pragmatic and Ethical Challenges of Incorporating the Genome into the Electronic Health Record
|
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Published in |
Current Genetic Medicine Reports, August 2014
|
DOI | 10.1007/s40142-014-0051-9 |
Pubmed ID | |
Authors |
Adam A. Nishimura, Peter Tarczy-Hornoch, Brian H. Shirts |
Abstract |
Recent successes in the use of gene sequencing for patient care highlight the potential of genomic medicine. For genomics to become a part of usual care, pertinent elements of a patient's genomic test must be communicated to the most appropriate care providers. Electronic medical records may serve as a useful tool for storing and disseminating genomic data. Yet, the structure of existing EMRs and the nature of genomic data pose a number of pragmatic and ethical challenges in their integration. Through a review of the recent genome-EMR integration literature, we explore concrete examples of these challenges, categorized under four key questions: What data will we store? How will we store it? How will we use it? How will we protect it? We conclude that genome-EMR integration requires a rigorous, multi-faceted and interdisciplinary approach of study. Problems facing the field are numerous, but few are intractable. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 4 | 21% |
France | 3 | 16% |
Saudi Arabia | 1 | 5% |
Italy | 1 | 5% |
Korea, Republic of | 1 | 5% |
Australia | 1 | 5% |
Serbia | 1 | 5% |
Unknown | 7 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 10 | 53% |
Members of the public | 6 | 32% |
Practitioners (doctors, other healthcare professionals) | 3 | 16% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Korea, Republic of | 1 | 3% |
Unknown | 32 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 18% |
Researcher | 5 | 15% |
Student > Master | 5 | 15% |
Other | 3 | 9% |
Student > Bachelor | 3 | 9% |
Other | 5 | 15% |
Unknown | 6 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 21% |
Engineering | 5 | 15% |
Computer Science | 4 | 12% |
Biochemistry, Genetics and Molecular Biology | 3 | 9% |
Social Sciences | 2 | 6% |
Other | 7 | 21% |
Unknown | 5 | 15% |