Name
Abstract | ||
|---|---|---|
While most research in the NLP domain focuses on information accuracy, the adoption of NLP applications in healthcare extends beyond technical innovations. This study investigates the adoption issues of an NLP application in three different field sites. Using both quantitative log analysis and qualitative user interviews, we identified four main factors that affect NLP adoption: organizational culture and support, system usability, information quality and system reliability. These factors must be considered to ensure successful adoption of NLP applications that provide real-time decision support in a clinical care setting. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/BIBMW.2011.6112446 | BIBM Workshops |
Keywords | DocType | ISSN |
real-time nlp decision support,successful adoption,information quality,information accuracy,adoption issue,nlp adoption,nlp application,system usability,system reliability,nlp domain,real-time decision support,nlp,health care,organizational culture,natural language processing,decision support system,decision support systems,real time,decision support | Conference | 2163-6966 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Huang | 1 | 0 | 0.34 |
| Daniel Zisook | 2 | 7 | 1.81 |
| Yunan Chen | 3 | 352 | 41.49 |
| Michael Selter | 4 | 0 | 0.34 |
| Paul Minardi | 5 | 0 | 0.34 |
| John Mattison | 6 | 17 | 3.34 |