Name
Abstract | ||
|---|---|---|
The use of novel health information technology provides avenues for potentially significant patient benefit. However, it is also timely to take a step back and to consider whether the use of these technologies is safe - or more precisely what the current evidence for their safety is, and what kinds of evidence we should be looking for in order to create a convincing argument for patient safety. This special issue on patient safety includes eight papers that demonstrate an increasing focus on qualitative approaches and a growing recognition that the sociotechnical lens of examining health information technology-associated change is important. We encourage a balanced approach to technology adoption that embraces innovation, but nonetheless insists upon suitable concerns for safety and evaluation of outcomes. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1177/1460458219876183 | HEALTH INFORMATICS JOURNAL |
Keywords | DocType | Volume |
artificial intelligence, human factors, IT healthcare evaluation, machine learning, patient safety | Journal | 26 |
Issue | ISSN | Citations |
4 | 1460-4582 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mark Sujan | 1 | 0 | 0.34 |
| Philip Scott | 2 | 38 | 4.66 |
| Kathrin Cresswell | 3 | 0 | 0.34 |