Name
Abstract | ||
|---|---|---|
Assessment of vital signs is an essential part of surveillance of critically ill patients to detect condition changes and clinical deterioration. While most modern electronic medical records allow for vitals to be recorded in a structured format, the frequency and quality of what is electronically stored may differ from how often these measures are actually recorded. We created a tool that extracts blood pressure, heart rate, temperature, respiratory rate, blood oxygen saturation, and pain level from nursing and other clinical notes recorded in the course of inpatient care to supplement structured vital sign data. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3233/978-1-61499-564-7-1035 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Natural language processing,Vital signs | Inpatient care,Emergency medicine,Vital signs,Knowledge management,Respiratory rate,Blood pressure,Medical record,Medical emergency,Heart rate,Medicine,Pain level,Physical examination | Conference |
Volume | ISSN | Citations |
216 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olga V. Patterson | 1 | 5 | 9.04 |
| Makoto L. Jones | 2 | 0 | 0.34 |
| Yiwen Yao | 3 | 0 | 0.34 |
| Benjamin Viernes | 4 | 2 | 0.76 |
| Patrick R. Alba | 5 | 0 | 0.68 |
| Theodore J. Iwashyna | 6 | 12 | 1.68 |
| Scott L. DuVall | 7 | 385 | 33.47 |