Predicting Chief Complaints at Triage Time in the Emergency Department
نویسندگان
چکیده
As hospitals increasingly use electronic medical records for research and quality improvement, it is important to provide ways to structure medical data without losing either expressiveness or time. We present a system that helps achieve this goal by building an extended ontology of chief complaints and automatically predicting a patient’s chief complaint, based on their vitals and the nurses’ description of their state at arrival.
منابع مشابه
The effect of triage diagnostic standing orders on emergency department treatment time.
STUDY OBJECTIVE Triage standing orders are used in emergency departments (EDs) to initiate evaluation when there is no bed available. This study evaluates the effect of diagnostic triage standing orders on ED treatment time of adult patients who presented with a chief complaint for which triage standing orders had been developed. METHODS We conducted a retrospective nested cohort study of pat...
متن کاملAccuracy of emergency department triage using the Emergency Severity Index and independent predictors of under-triage and over-triage in Brazil: a retrospective cohort analysis
BACKGROUND Emergency department (ED) triage is performed to prioritize care for patients with critical and time-sensitive illness. Triage errors create opportunity for increased morbidity and mortality. Here, we sought to measure the frequency of under- and over-triage of patients by nurses using the Emergency Severity Index (ESI) in Brazil and to identify factors independently associated with ...
متن کاملIdentifying ILI Cases from Chief Complaints: Comparing Keyword and Support Vector Machine Methods
The rapid spread of the novel H1N1 virus prompted Ottawa Public Health (OPH) to monitor Emergency Department Chief Complaints (EDCC) specifically for influenza-like illness (ILI). Note that data from ED visits is the most common data source for syndromic surveillance systems in the US [1]. METHODS Our data set was formed of 149910 case records composed of free text EDCC and accompanying patient...
متن کاملFever detection from free-text clinical records for biosurveillance
Automatic detection of cases of febrile illness may have potential for early detection of outbreaks of infectious disease either by identification of anomalous numbers of febrile illness or in concert with other information in diagnosing specific syndromes, such as febrile respiratory syndrome. At most institutions, febrile information is contained only in free-text clinical records. We compare...
متن کاملImproving ED patient satisfaction when triage nurses routinely communicate with patients as to reasons for waits: one rural hospital's experience.
336 W ith hospitals closing and the number of ED patient visits increasing dramatically, patients’ waits are a growing problem. We are now learning that lack of communication from the ED staff during these waits can sometimes be a greater source of patient dissatisfaction than the actual waits themselves. At our rural hospital, we received ED patient complaints several times every month. The co...
متن کامل