Effect of Clinical Decision-Support Systems

By T. Bright, Anthony Wong, Ravi Dhurjati, E. Bristow, L. Bastian, R. Coeytaux, G. Samsa, V. Hasselblad, John W. Williams, Michael D. Musty and 4 more. Annals of Internal Medicine, 2012

1,148 citations recorded by the source corpus.

Subfields: Epidemiology, Health Informatics, Health Information Management

View Paper: https://www.semanticscholar.org/paper/82ae5de6b1f0d19fb3b1e0cb79ff6afe1066899b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. T. Nuckols
2. Crystal M. Smith-Spangler
3. Paul Shekelle
4. C. Mannion
5. A. Goy
6. P. Bhattacharyya
7. Patrick Blake
8. Laura J Anderson

Citations in the corpus

• The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis (2014, background): “We used this strategy to search the eight databases for systematic reviews of CPOE or CDSS that might contain potentially relevant primary studies (last updated September 23, 2013) (Figure 1).”
• Dashboards for improving patient care: Review of the literature (2015, neutral): “supporting the effectiveness of CDSS to improve patient outcomes is equivocal [19].”
• Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine (2015, background): “…such as number of hospitalizations, surgical site infections, cardiovascular events, and deep vein thrombosis, but there was little effect on mortality or pharmacologic adverse events [41], suggesting that CDSS will need improvement before they can routinely provide clinically meaningful knowledge.”