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PLOS ONE RESEARCH ARTICLEClinical prediction rule for SARSCoV2 infection from 116 U.S. emergency departments 2222021a1111111111 a1111111111 a1111111111 a1111111111 a1111111111OPEN ACCESS Citation:
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Review the specific clinical prediction rule and understand its purpose and components.
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Gather the required patient information such as demographics, medical history, and relevant symptoms.
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Input the necessary data into the prediction rule tool or calculator.
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Follow the instructions of the tool to calculate and interpret the results.
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Use the predicted outcome to aid in clinical decision making.

Who needs clinical prediction rule for?

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Clinicians who want to enhance their diagnostic accuracy and support their decision-making process.
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Researchers who are conducting studies to validate or develop new clinical prediction rules.
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Patients who want to better understand their prognosis and potential treatment options.
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Clinical prediction rule is used to help healthcare providers make decisions about the diagnosis, prognosis, or treatment of patients by using a set of criteria to predict the likelihood of a particular outcome.
Healthcare providers and researchers who are conducting studies or clinical trials that involve the use of a clinical prediction rule are required to file it.
Clinical prediction rule can be filled out by documenting the variables used in the rule, the scoring system, the outcome being predicted, and any validation methods used.
The purpose of clinical prediction rule is to provide an evidence-based tool for healthcare providers to use in making decisions about patient care.
Clinical prediction rule must report the variables used in the rule, the scoring system, the outcome being predicted, and any validation methods used.
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