A Clinical Case of Electronic Health Record Drug Alert Fatigue: Consequences for Patient Outcome.
ABSTRACT Despite advances in electronic medication order entry systems, it has been well established that clinicians override many drug allergy alerts generated by the electronic health record. The direct clinical consequences of overalerting clinicians in a pediatric setting have not been well demonstrated in the literature. We observed a patient in the PICU who experienced complications as a result of an extended series of non-evidence-based alerts in the electronic health record. Subsequently, evidence-based allergy alerting changes were made to the hospital's system. Incorporating clinical evidence in electronic drug allergy alerting systems remains challenging, especially in pediatric settings.
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ABSTRACT: Electronic health records (EHRs) have potential to improve quality and safety of healthcare. However, EHR users have experienced safety concerns from EHR design and usability features that are not optimally adapted for the complex work flow of real-world practice. Few strategies exist to address unintended consequences from implementation of EHRs and other health information technologies. We propose that organizations equipped with EHRs should consider the strategy of “proactive risk assessment” of their EHR-enabled healthcare system to identify and address EHR-related safety concerns. In this paper, we describe the conceptual underpinning of an EHR-related self-assessment strategy to provide institutions a foundation upon which they could build their safety efforts. With support from the Office of the National Coordinator for Health Information Technology (ONC), we used a rigorous, iterative process to develop a set of 9 self-assessment tools to optimize the safety and safe use of EHRs. These tools, referred to as the Safety Assurance Factors for EHR Resilience (SAFER) guides, could be used to self-assess safety and effectiveness of EHR implementations, identify specific areas of vulnerability, and create solutions and culture change to mitigate risks. A variety of audiences could conduct these assessments, including frontline clinicians or care teams in different practices, or clinical, quality, or administrative leaders within larger institutions. The guides use a multifaceted systems-based approach to assess risk and empower organizations to work with internal or external stakeholders (eg, EHR developers) on optimizing EHR functionality and using EHRs to drive improvements in the quality and safety of healthcare.The American journal of managed care 05/2014; 20(5):418-423. · 2.17 Impact Factor
- Current Genetic Medicine Reports. 12/2014; 2(4):201-211.
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ABSTRACT: Shared decision making (SDM) is an approach to medical care based on collaboration between provider and patient, with both sharing in medical decisions. When patients' values and preferences are incorporated in decision making, care is more appropriate, ethically sound, and often lower in cost. However, SDM is difficult to implement in routine practice because of the time required for SDM methods, the lack of integration of SDM approaches into electronic health record (EHR) systems, and absence of explanatory mechanisms for providers on the results of patients' use of decision aids. This article discusses potential solutions, including the concept of a "personalize button" for EHRs. Leveraging a 4-phase clinical model for SDM, this article describes how computer decision support (CDS) technologies integrated into EHRs can help ensure that health care is delivered in a way that is respectful of those preferences. The architecture described herein, called CDS for SDM, is built on recognized standards that are currently integrated into certification requirements for EHRs as part of meaningful use regulations. While additional work is needed on modeling of preferences and on techniques for rapid communication models of preferences to clinicians, unless EHRs are redesigned to support SDM around and during clinical encounters, they are likely to continue to be an unintended barrier to SDM. With appropriate development, EHRs could be a powerful tool to promote SDM by reminding providers of situations for SDM and monitoring ongoing care to ensure treatments are consistent with patients' preferences.Medical Decision Making 09/2014; · 2.27 Impact Factor