Background: Adverse drug event (ADE) detection is an important priority for patient safety research. Trigger tools have been developed to help identify ADEs. In previous work we developed seven concurrent, action-oriented, electronic trigger algorithms designed to prompt clinicians to address ADEs in outpatient care.
View Article and Find Full Text PDFRationale, Aims And Objective: Manual chart review is an effective but expensive method for adverse drug event (ADE) detection. Building an expert system capable of mimicking the human expert's decision pathway, to deduce the occurrence of an ADE, can improve efficiency and lower cost. As a first step to build such an expert system, this study explores pharmacist's decision-making processes for ADE detection.
View Article and Find Full Text PDFDetection and prevention of adverse drug events (ADEs) forms a large part of the patient safety efforts in any healthcare organization. Detection of laboratory and medication based ADEs is well-studied through the use of rule-based systems, however identifying descriptive ADEs, such as somnolence, is a challenging problem. Signals for the detection of these ADEs can often only be found in free-text clinical notes.
View Article and Find Full Text PDFPurpose: A systematic review and metaanalysis were conducted to determine if studies that included pharmacists as chart reviewers detected higher rates of adverse drug events (ADEs) than studies that included other health care professionals or hospital personnel as chart reviewers.
Methods: A systematic review and metaanalysis of studies using chart review as the method of detection of ADEs were conducted. Pooled estimates of the ADE rates were calculated using the inverse variance weight method.
Objectives: We undertook the review of all available cases of hypersensitivity reactions after placement of a drug-eluting stent (DES) and classified potential causes.
Background: Six months after the approval of the first DES, the Food and Drug Administration (FDA) reported 50 hypersensitivity reactions after stent placement but later concluded these were due to concomitantly prescribed medications such as clopidogrel. Nevertheless, the FDA continued to receive reports of hypersensitivity.
Background: Numerous studies have shown that specific computerized interventions may reduce medication errors, but few have examined adverse drug events (ADEs) across all stages of the computerized medication process. We describe the frequency and type of inpatient ADEs that occurred following the adoption of multiple computerized medication ordering and administration systems, including computerized physician order entry (CPOE).
Methods: Using explicit standardized criteria, pharmacists classified inpatient ADEs from prospective daily reviews of electronic medical records from a random sample of all admissions during a 20-week period at a Veterans Administration hospital.