Journal of the American Medical Informatics Association : JAMIA
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J Am Med Inform Assoc · May 2005
A trial of automated decision support alerts for contraindicated medications using computerized physician order entry.
Automated clinical decision support has shown promise in reducing medication errors; however, clinicians often do not comply with alerts. Because renal insufficiency is a common source of medication errors, the authors studied a trial of alerts designed to reduce inpatient administration of medications contraindicated due to renal insufficiency. ⋯ Alerts were effective in decreasing the ordering and administration of drugs contraindicated due to renal insufficiency. Compliance with the alerts was higher in male patients, increased with the duration of housestaff training, and increased in patients with more severe renal dysfunction.
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J Am Med Inform Assoc · Nov 2004
Characteristics and consequences of drug allergy alert overrides in a computerized physician order entry system.
The aim of this study was to determine characteristics of drug allergy alert overrides, assess how often they lead to preventable adverse drug events (ADEs), and suggest methods for improving the allergy-alerting system. ⋯ Overrides of drug-allergy alerts were common and about 1 in 20 resulted in ADEs, but all of the overrides resulting in ADEs appeared clinically justifiable. The high rate of alert overrides was attributable to frequent nonexact match alerts and infrequent updating of allergy lists. Based on these findings, we have made specific recommendations for increasing the specificity of alerting and thereby improving the clinical utility of the drug allergy alerting system.
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J Am Med Inform Assoc · Nov 2004
The asthma kiosk: a patient-centered technology for collaborative decision support in the emergency department.
The authors report on the development and evaluation of a novel patient-centered technology that promotes capture of critical information necessary to drive guideline-based care for pediatric asthma. The design of this application, the asthma kiosk, addresses five critical issues for patient-centered technology that promotes guideline-based care: (1) a front-end mechanism for patient-driven data capture, (2) neutrality regarding patients' medical expertise and technical backgrounds, (3) granular capture of medication data directly from the patient, (4) formal algorithms linking patient-level semantics and asthma guidelines, and (5) output to both patients and clinical providers regarding best practice. The formative evaluation of the asthma kiosk demonstrates its ability to capture patient-specific data during real-time care in the emergency department (ED) with a mean completion time of 11 minutes. The asthma kiosk successfully links parents' data to guideline recommendations and identifies data critical to health improvements for asthmatic children that otherwise remains undocumented during ED-based care.
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J Am Med Inform Assoc · Nov 2004
Patient experiences and attitudes about access to a patient electronic health care record and linked web messaging.
Patient access to their electronic health care record (EHR) and Web-based communication between patients and providers can potentially improve the quality of health care, but little is known about patients' attitudes toward this combined electronic access. The objective of our study was to evaluate patients' values and perceptions regarding Web-based communication with their primary care providers in the context of access to their electronic health care record. ⋯ Patients' attitudes about the use of Web messaging and online access to their EHR were mostly positive. Patients were satisfied that their medical information was complete and accurate. A minority of patients was mildly concerned about the confidentiality and privacy of their information and about learning of abnormal test results electronically. Clinicians were less positive about using electronic communication than their patients. Patients and clinicians differed substantially regarding their preferred means of communication for different types of interactions.
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J Am Med Inform Assoc · Sep 2004
Electronic screening of dictated reports to identify patients with do-not-resuscitate status.
Do-not-resuscitate (DNR) orders and advance directives are increasingly prevalent and may affect medical interventions and outcomes. Simple, automated techniques to identify patients with DNR orders do not currently exist but could help avoid costly and time-consuming chart review. This study hypothesized that a decision to withhold cardiopulmonary resuscitation would be included in a patient's dictated reports. The authors developed and validated a simple computerized search method, which screens dictated reports to detect patients with DNR status. ⋯ Dictated hospital reports frequently contained DNR order-related information for patients with a written DNR order. Using an uncomplicated keyword search, electronic screening of dictated reports yielded good accuracy for identifying patients with DNR order information.