Objective: Failure to detect clinical deterioration in the hospital is common and associated with poor patient outcomes and increased healthcare costs. Our objective was to evaluate the feasibility and accuracy of real-time risk stratification using the electronic Cardiac Arrest Risk Triage score, an electronic health record-based early warning score. Design: We conducted a prospective black-box validation study. Data were transmitted via HL7 feed in real time to an integration engine and database server wherein the scores were calculated and stored without visualization for clinical providers. The high-risk threshold was set a priori. Timing and sensitivity of electronic Cardiac Arrest Risk Triage score activation were -compared with standard-of-care Rapid Response Team activation for patients who experienced a ward cardiac arrest or ICU transfer. Setting: Three general care wards at an academic medical center. Patients: A total of 3,889 adult inpatients. Measurements and Main Results: The system generated 5,925 segments during 5,751 admissions. The area under the receiver operating characteristic curve for electronic Cardiac Arrest Risk Triage score was 0.88 for cardiac arrest and 0.80 for ICU transfer, consistent with previously published derivation results. During the study period, eight of 10 patients with a cardiac arrest had high-risk electronic Cardiac Arrest Risk Triage scores, whereas the Rapid Response Team was activated on two of these patients (p
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This feed no longer exists. Cambridge Journals Online and Cambridge Books Online have been replaced by Cambridge University Press’s new acad...
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Objectives: Opioids and benzodiazepines are commonly used to provide analgesia and sedation for critically ill children with cardiac disease...
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Objective: Inotropic and vasopressor drugs are routinely used in critically ill patients to maintain adequate blood pressure and cardiac ou...
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Academic Emergency Medicine, EarlyView. from Emergency Medicine via xlomafota13 on Inoreader https://ift.tt/2Lq7OXW
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Abstract This paper proposes a novel system to protect the fingerprint database based on compressed binary fingerprint images. In this sys...
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Abstract Background and Significance Adverse drug events (ADEs) occur in approximately 2–5% of hospitalized patients, often resulting in...
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Steve Whitehead, host of Remember 2 Things, talks about why you should read your glucometer manual to get an accurate sample and how you can...
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Shared neural representations of syntax during online dyadic communication Publication date: September 2019 Source: NeuroImage, Volume 198 ...
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