| Title |
Overcoming barriers to electronic medical record (EMR) implementation in the US healthcare system: A comparative study
|
|---|---|
| Published in |
Health Informatics Journal, January 2011
|
| DOI | 10.1177/1460458210380523 |
| Pubmed ID | |
| Authors |
Sameer Kumar, Krista Aldrich |
| Abstract |
An EMR system implementation would significantly reduce clinician workload and medical errors while saving the US healthcare system major expense. Yet, compared to other developed nations, the US lags behind. This article examines EMR system efforts, benefits, and barriers, as well as steps needed to move the US closer to a nationwide EMR system. The analysis includes a blueprint for implementation of EMR, industry comparisons to highlight the differences between successful and non-successful EMR ventures, references to costs and benefit information, and identification of root causes. 'Poka-yokes' (avoid (yokeru) mistakes (poka)) will be inserted to provide insight into how to systematically overcome challenges. Implementation will require upfront costs including patient privacy that must be addressed early in the development process. Government structure, incentives and mandates are required for nationwide EMR system in the US. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | <1% |
| United States | 1 | <1% |
| Sweden | 1 | <1% |
| Saudi Arabia | 1 | <1% |
| Nigeria | 1 | <1% |
| Kenya | 1 | <1% |
| Indonesia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 268 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 62 | 22% |
| Student > Ph. D. Student | 30 | 11% |
| Student > Bachelor | 23 | 8% |
| Student > Postgraduate | 20 | 7% |
| Researcher | 16 | 6% |
| Other | 49 | 18% |
| Unknown | 78 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 57 | 21% |
| Computer Science | 50 | 18% |
| Nursing and Health Professions | 22 | 8% |
| Business, Management and Accounting | 16 | 6% |
| Social Sciences | 14 | 5% |
| Other | 35 | 13% |
| Unknown | 84 | 30% |