You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
| Title |
Language, Structure, and Reuse in the Electronic Health Record
|
|---|---|
| Published in |
The AMA Journal of Ethic, March 2017
|
| DOI | 10.1001/journalofethics.2017.19.3.stas1-1703 |
| Pubmed ID | |
| Authors |
Angus Roberts |
| Abstract |
Medical language is at the heart of the electronic health record (EHR), with up to 70 percent of the information in that record being recorded in the natural language, free-text portion. In moving from paper medical records to EHRs, we have opened up opportunities for the reuse of this clinical information through automated search and analysis. Natural language, however, is challenging for computational methods. This paper examines the tension between the nuanced, qualitative nature of medical language and the logical, structured nature of computation as well as the way in which these have interacted with each other through the medium of the EHR. The paper also examines the potential for the computational analysis of natural language to overcome this tension. |
X Demographics
The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 29% |
| United Kingdom | 5 | 16% |
| Brazil | 1 | 3% |
| Finland | 1 | 3% |
| Canada | 1 | 3% |
| Ireland | 1 | 3% |
| Unknown | 13 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 61% |
| Scientists | 6 | 19% |
| Practitioners (doctors, other healthcare professionals) | 6 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 27% |
| Student > Master | 6 | 13% |
| Other | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 14 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 16% |
| Computer Science | 6 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Nursing and Health Professions | 2 | 4% |
| Psychology | 2 | 4% |
| Other | 10 | 22% |
| Unknown | 14 | 31% |