
    Given a collection of patient risk assessment scores from multiple medical evaluations, round each score to the nearest whole number and calculate the total impact factor by multiplying the sum of rounded scores with the total number of assessments performed. This aggregated impact factor will be used to determine hospital readmission probability patterns across patient groups.
    

    
def round_and_sum(list1):
    """
    Given a collection of patient risk assessment scores from multiple medical evaluations, round each score to the nearest whole number and calculate the total impact factor by multiplying the sum of rounded scores with the total number of assessments performed. This aggregated impact factor will be used to determine hospital readmission probability patterns across patient groups.
    

    """
def round_and_sum(list1):
    """
    Given a collection of patient risk assessment scores from multiple medical evaluations, round each score to the nearest whole number and calculate the total impact factor by multiplying the sum of rounded scores with the total number of assessments performed. This aggregated impact factor will be used to determine hospital readmission probability patterns across patient groups.
    

    """
    lenght = len(list1)
    round_and_sum = sum(list(map(round, list1)) * lenght)
    return round_and_sum