| Title |
Communication Patterns in the Perioperative Environment During Epic Electronic Health Record System Implementation
|
|---|---|
| Published in |
Journal of Medical Systems, December 2016
|
| DOI | 10.1007/s10916-016-0674-3 |
| Pubmed ID | |
| Authors |
Tynan H. Friend, Samantha J. Jennings, Wilton C. Levine |
| Abstract |
In April 2016, Massachusetts General Hospital (MGH) went live with the Epic electronic health records (EHR) system, replacing a variety of EHRs that previously existed in different departments throughout the hospital. At the time of implementation, the Vocera® Badge Communication System, a wireless hands-free communication device distributed to perioperative team members, had increased perioperative communication flow and efficiency. As a quality improvement effort to better understand communication patterns during an EHR go-live, we monitored our Vocera call volume and user volume before, during and after our go-live. We noticed that call volume and user volume significantly increased during our immediate go-live period and quickly returned to baseline levels. We also noticed that call volume increased during periods of unplanned EHR downtime long after our immediate go-live period. When planning the implementation of a new EHR, leadership must plan for and support this critical communication need at the time of the go-live and must also be aware of these needs during unplanned downtime. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 7 | 15% |
| Researcher | 7 | 15% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Master | 6 | 13% |
| Other | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 11 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 7 | 15% |
| Computer Science | 4 | 9% |
| Medicine and Dentistry | 4 | 9% |
| Nursing and Health Professions | 4 | 9% |
| Business, Management and Accounting | 3 | 6% |
| Other | 9 | 19% |
| Unknown | 16 | 34% |
Attention Score in Context
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#18,525,776
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#816
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Outputs of similar age from Journal of Medical Systems
#11
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