Name
Abstract | ||
|---|---|---|
We present a pre/post intervention study, where HARVEST, a general-purpose patient record summarization tool, was introduced to ten data abstraction specialists. The specialists are responsible for reviewing hundreds of patient charts each month and reporting disease-specific quality metrics to a variety of online registries and databases. We qualitatively and quantitatively investigated whether HARVEST improved the process of quality metric abstraction. Study instruments included pre/post questionnaires and log analyses of the specialists' actions in the electronic health record (EHR). The specialists reported favorable impressions of HARVEST and suggested that it was most useful when abstracting metrics from patients with long hospitalizations and for metrics that were not consistently captured in a structured manner in the EHR. A statistically significant reduction in time spent per chart before and after use of HARVEST was observed for 50% of the specialists and 90% of the specialists continue to use HARVEST after the study period. |
Year | Venue | DocType |
|---|---|---|
2016 | AMIA | Conference |
Volume | Citations | PageRank |
2016 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rimma Pivovarov | 1 | 0 | 0.34 |
| Yael J. Coppleson | 2 | 0 | 0.34 |
| Sharon Lipsky Gorman | 3 | 15 | 3.17 |
| David Vawdrey | 4 | 3 | 7.94 |
| Noemie Elhadad | 5 | 1131 | 69.59 |