Trigger Tool-Based Automated Adverse Event Detection in Electronic Health Records: Systematic Review.
Sarah Naima MusyDietmar AusserhoferRené SchwendimannHans Ulrich RothenMarie-Madlen JeitzinerAnne W S RutjesMichael SimonPublished in: Journal of medical Internet research (2018)
We observed broad interstudy variation in reported adverse event prevalence and positive predictive value. The lack of sufficiently described methods led to difficulties regarding interpretation. To improve quality, we see the need for a set of recommendations to endorse optimal use of research designs and adequate reporting of future adverse event detection studies.