In a new Journal of Patient Safety study, researchers mined publicly accessible tweets written in English from across the globe using a set of relevant phrases, such as the charming “doctor screwed up.” Between January and August 2012, the authors used Twitter’s search function to identify tweets that matched the relevant phrases and broke down the 1,006 that made the cut by type:
- 26 percent of the tweets were related to procedural errors
- 23 percent were medication errors
- 23 percent were diagnostic errors
- 14 percent were surgical errors
Of the 850 tweets that identified the tweeter, 90 percent came from the patient and 9 percent from family members. Some also indicated the tweeter’s feelings about their experience.
More articles on quality:
UVA Medical Center to make patient outcomes data public
Prophecy Healthcare launches HCAHPS nursing primer module
Reducing HAI risk through more effective environmental cleaning
