Finding a diagnosis for acutely ill patients places high demands on emergency medical personnel. While anamnesis and clinical examination provide initial indications and allow a tentative diagnosis, both laboratory chemistry and imaging tests are used to confirm (or exclude) the tentative diagnosis. The more precise and targeted the additional laboratory chemical or radiological diagnosis, the more quickly and economically the causal treatment of the emergency patient can be initiated. One examination modality, which in addition to the medical history and clinical examination, could quickly provide information about the condition of the patient, their clinical picture and severity of illness, is the first clinical impression of the patient (so-called "first impression" or "end-of-bed view"). This describes the first sensory impression that the medical staff gathers from a patient. This includes visual (e.g., facial expression, gait, breathing), auditory (e.g., voice pitch, shortness of breath when speaking), and olfactory (e.g., smell of exhaled air, body odor) impressions. Clinical practice shows that a great deal of important additional information can be gathered through this first clinical impression, which, together with the history and clinical examination of the emergency patient, provides valuable clues to the underlying condition. To date, however, only scattered data and study results exist in the medical literature on the value of the first clinical impression in the care of emergency patients. In the present prospective observational study, the study attempts to evaluate the predictive value of the first clinical impression in identifying a leading symptom and other important clinical parameters.
Study Type
OBSERVATIONAL
Enrollment
1,506
Machine Learning Prediction
Kepler University Hospital
Linz, Upper Austria, Austria
AUROC for Classification of Shortness of Breath
AUROC for Classification of Shortness of Breath
Time frame: 2019-09-01 to 2020-02-28
AUROC for Classification of Extremity Pathologies
AUROC for Classification of Extremity Pathologies
Time frame: 2019-09-01 to 2020-02-28
AUROC for Classification of Abdominal Pain
AUROC for Classification of Abdominal Pain
Time frame: 2019-09-01 to 2020-02-28
AUROC for Classification of Urological Pathologies
AUROC for Classification of Urological Pathologies
Time frame: 2019-09-01 to 2020-02-28
AUROC for Classification of Chest Pain
AUROC for Classification of Chest Pain
Time frame: 2019-09-01 to 2020-02-28
AUROC for Classification of Back Pain
AUROC for Classification of Back Pain
Time frame: 2019-09-01 to 2020-02-28
AUROC for Classification of Hospital Admission
AUROC for Classification of Hospital Admission
Time frame: 2019-09-01 to 2020-02-28
Confusion Matrix
Confusion Matrix Results: true positives, true negatives, false positive, false negatives and values calculated from these results.
Time frame: 2019-09-01 to 2020-02-28
Descriptive Statistics
Descriptive Statistics (e. g. age in years)
Time frame: 2019-09-01 to 2020-02-28
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