Publications by authors named "Jerard Z Kneifati-Hayek"

Article Synopsis
  • Genomic medicine offers significant potential for personalized care in nephrology, but integrating it into clinical practice is challenging; automated decision support systems may help but have had limited success so far.
  • A survey of US nephrologists identified issues like varying levels of knowledge regarding genomic resources and barriers to genetic testing, including costs and insufficient experience in genomics.
  • The study highlights the need for tailored support interventions to help nephrologists effectively use genomic resources, which could improve the adoption of these tools and ultimately enhance kidney disease management and patient outcomes.
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Studying near-miss errors is essential to preventing errors from reaching patients. When an error is committed, it may be intercepted (near-miss) or it will reach the patient; estimates of the proportion that reach the patient vary widely. To better understand this relationship, we conducted a retrospective cohort study using two objective measures to identify wrong-patient imaging order errors involving radiation, estimating the proportion of errors that are intercepted and those that reach the patient.

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A prior randomized controlled trial (RCT) showed no significant difference in wrong-patient errors between clinicians assigned to a restricted electronic health record (EHR) configuration (limiting to 1 record open at a time) versus an unrestricted EHR configuration (allowing up to 4 records open concurrently). However, it is unknown whether an unrestricted EHR configuration is more efficient. This substudy of the RCT compared clinician efficiency between EHR configurations using objective measures.

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Objectives: Wrong-patient errors are common and have the potential to cause serious harm. The Office of the National Coordinator for Health Information Technology Patient Identification SAFER Guide recommends displaying patient photographs in electronic health record (EHR) systems to facilitate patient identification and reduce wrong-patient errors. A potential barrier to implementation is patient refusal; however, patients' perceptions about having their photograph captured during registration and integrated into the EHR are unknown.

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Objective: To determine the proportion of pregnant women who selected names for their babies to be born and were willing to disclose them for use in hospital systems, thereby potentially reducing infant identification errors.

Study Design: Survey of pregnant women admitted to postpartum or antepartum units at a large academic hospital. Descriptive analyses were conducted to determine the proportion who had chosen names prior to delivery.

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Unlabelled: Newborns are at high risk for identification errors due to their inability to speak and indistinguishable features. To reduce this risk, The Joint Commission requires hospitals to use a distinct identification method for newborns. Most hospitals create medical records for newborns at birth using temporary naming conventions, resulting in patients with similar identifiers.

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