
    In a hospital's patient monitoring system, develop a function that identifies the patient with the most significant reduction in readmission risk by finding the largest negative value from a list of risk score changes, where negative scores indicate improvement from baseline measurements. The risk scores are calculated based on patients' vital signs and medical history, and identifying the largest negative value will help healthcare providers recognize the most successful treatment outcomes.
    

    
def largest_neg(list1):
    """
    In a hospital's patient monitoring system, develop a function that identifies the patient with the most significant reduction in readmission risk by finding the largest negative value from a list of risk score changes, where negative scores indicate improvement from baseline measurements. The risk scores are calculated based on patients' vital signs and medical history, and identifying the largest negative value will help healthcare providers recognize the most successful treatment outcomes.
    

    """
def largest_neg(list1):
    """
    In a hospital's patient monitoring system, develop a function that identifies the patient with the most significant reduction in readmission risk by finding the largest negative value from a list of risk score changes, where negative scores indicate improvement from baseline measurements. The risk scores are calculated based on patients' vital signs and medical history, and identifying the largest negative value will help healthcare providers recognize the most successful treatment outcomes.
    

    """
    max = list1[0]
    for x in list1:
        if x < max:
            max = x
    return max