| Title |
Uptake of Electronic Prescribing in Community-Based Practices
|
|---|---|
| Published in |
Journal of General Internal Medicine, March 2008
|
| DOI | 10.1007/s11606-007-0383-1 |
| Pubmed ID | |
| Authors |
Michael A. Fischer, Christine Vogeli, Margaret R. Stedman, Timothy G. Ferris, Joel S. Weissman |
| Abstract |
Electronic prescribing (e-prescribing) has the potential to improve the safety and efficiency of medication use, but uptake of e-prescribing in community-based settings has been limited to date. In April 2004, 2 large insurers in Massachusetts began a program to fund e-prescribing systems for targeted clinicians and practices. We studied the adoption and uptake of e-prescribing by the targeted prescribers. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 51 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 8 | 15% |
| Other | 4 | 8% |
| Researcher | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Other | 12 | 23% |
| Unknown | 12 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 25% |
| Nursing and Health Professions | 5 | 10% |
| Computer Science | 4 | 8% |
| Psychology | 3 | 6% |
| Economics, Econometrics and Finance | 3 | 6% |
| Other | 10 | 19% |
| Unknown | 14 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 January 2012.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#6,057
of 7,806 outputs
Outputs of similar age
#70,845
of 83,284 outputs
Outputs of similar age from Journal of General Internal Medicine
#40
of 46 outputs
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