| Literature DB >> 31581891 |
Mark Sujan1, Philip Scott2, Kathrin Cresswell3.
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.Entities:
Keywords: IT healthcare evaluation; artificial intelligence; human factors; machine learning; patient safety
Mesh:
Year: 2019 PMID: 31581891 DOI: 10.1177/1460458219876183
Source DB: PubMed Journal: Health Informatics J ISSN: 1460-4582 Impact factor: 2.681