Core drug-drug interaction alerts for inclusion in pediatric electronic health records with computerized prescriber order entry.

Autor: Harper MB; From the *Divisions of Emergency Medicine and Infectious Diseases, Boston Children's Hospital Boston, MA, and Department of Pediatrics, Harvard Medical School, Boston, Massachusetts; †Department of Clinical Informatics, Lucile Packard Children's Hospital; ‡Department of Pediatrics, Stanford School of Medicine, Palo Alto, California; §Hospitalist Division, Seattle Children's Hospital and Department of Pediatrics, University of Washington, Seattle, Washington; ∥Division of Pediatric Critical Care, Children's Hospitals and Clinics of Minnesota, Minneapolis, Minnesota; ¶Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and #Department of Pharmacy, Boston Children's Hospital, Boston, Massachusetts., Longhurst CA, McGuire TL, Tarrago R, Desai BR, Patterson A
Jazyk: angličtina
Zdroj: Journal of patient safety [J Patient Saf] 2014 Mar; Vol. 10 (1), pp. 59-63.
DOI: 10.1097/PTS.0000000000000050
Abstrakt: Objective: The study aims to develop a core set of pediatric drug-drug interaction (DDI) pairs for which electronic alerts should be presented to prescribers during the ordering process.
Methods: A clinical decision support working group composed of Children's Hospital Association (CHA) members was developed. CHA Pharmacists and Chief Medical Information Officers participated.
Results: Consensus was reached on a core set of 19 DDI pairs that should be presented to pediatric prescribers during the order process.
Conclusions: We have provided a core list of 19 high value drug pairs for electronic drug-drug interaction alerts to be recommended for inclusion as high value alerts in prescriber order entry software used with a pediatric patient population. We believe this list represents the most important pediatric drug interactions for practical implementation within computerized prescriber order entry systems.
Databáze: MEDLINE