| Autor: |
Liu M; University of Kansas Medical Center, Department of Internal Medicine, Division of Medical Informatics, Kansas City, KS., Melton BL; The University of Kansas, School of Pharmacy, Lawrence, KS., Ator G; University of Kansas Medical Center, Department of Otolaryngology, Kansas City, KS., Waitman LR; University of Kansas Medical Center, Department of Internal Medicine, Division of Medical Informatics, Kansas City, KS. |
| Jazyk: |
angličtina |
| Zdroj: |
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science [AMIA Jt Summits Transl Sci Proc] 2017 Jul 26; Vol. 2017, pp. 213-220. Date of Electronic Publication: 2017 Jul 26 (Print Publication: 2017). |
| Abstrakt: |
Current clinical data repositories primarily extract data from multiple administrative and electronic medical record (EMR) data resources (e.g., hospital and physician billing records) containing specific patient-level data including demographics, medications, laboratory results, diagnoses, and procedure codes. It overlooks the importance of EMR system-level data (e.g., medication alerts that are routinely used by physicians, nurses, and pharmacists for decision support) for the surveillance of EMR decision support tools. These medication alerts are a significant source of information for providers, to minimize avoidable adverse drug events. This study describes the integration of medication alert data into an i2b2-based clinical data repository to support the investigation of clinical events occurring around patients with anticoagulation treatment that triggered drug-drug interaction alerts. The integration of medication alerts allows us to repurpose the clinical and translational research infrastructure to conduct retrospective effectiveness surveillance of clinical decision support tools. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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