Predicting Outcomes in Emergency Medical Admissions Using a Laboratory Only Nomogram
نویسندگان
چکیده
منابع مشابه
Predicting Outcomes in Emergency Medical Admissions Using a Laboratory Only Nomogram
Background We describe a nomogram to explain an Acute Illness Severity model, derived from emergency room triage and admission laboratory data, to predict 30-day in-hospital survival following an emergency medical admission. Methods For emergency medical admissions (96,305 episodes in 50,612 patients) between 2002 and 2016, the relationship between 30-day in-hospital mortality and admission l...
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OBJECTIVE To develop and validate models to predict emergency department (ED) presentations and hospital admissions for time and day of the year. METHODS Initial model development and validation was based on 5 years of historical data from two dissimilar hospitals, followed by subsequent validation on 27 hospitals representing 95% of the ED presentations across the state. Forecast accuracy wa...
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Background and Purpose: The emergency severity index (ESI) triage system has been recommended by the Ministry of Health to classify patients at emergency departments. This study aimed to assess the validity of ESI system (version 4) in the emergency department of a teaching hospital. Outcome measures were hospitalization, emergency department (ED) length of stay, resource consumption, in-hos...
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DIRECT admission of patients from home is the predominant method of admission to geriatric medical units. Admission may take place as the result of a telephone consultation with the general practitioner or, in less urgent cases, following a domiciliary assessment visit by a member of the medical staff of the unit. However, in recent years the pattern of referral to hospitals in Belfast has chan...
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BACKGROUND The Rapid Acute Physiology Score (RAPS) and Rapid Emergency Medicine Score (REMS) are risk adjustment methods for emergency medical admissions developed for use in audit, research, and clinical practice. Each predicts in hospital mortality using four (RAPS) or six (REMS) variables that can be easily recorded at presentation. We aimed to evaluate the predictive value of REMS, RAPS, an...
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ژورنال
عنوان ژورنال: Computational and Mathematical Methods in Medicine
سال: 2017
ISSN: 1748-670X,1748-6718
DOI: 10.1155/2017/5267864