
    Given the number of patient cases in a hospital's readmission risk prediction system, determine the smallest batch size (which must be a power of 2) that can accommodate all cases for efficient parallel processing. This batch size must be greater than or equal to the total number of patient cases to ensure no data is left unprocessed during the analysis.
    

    
def next_power_of_2(n):
    """
    Given the number of patient cases in a hospital's readmission risk prediction system, determine the smallest batch size (which must be a power of 2) that can accommodate all cases for efficient parallel processing. This batch size must be greater than or equal to the total number of patient cases to ensure no data is left unprocessed during the analysis.
    

    """
def next_power_of_2(n):
    """
    Given the number of patient cases in a hospital's readmission risk prediction system, determine the smallest batch size (which must be a power of 2) that can accommodate all cases for efficient parallel processing. This batch size must be greater than or equal to the total number of patient cases to ensure no data is left unprocessed during the analysis.
    

    """
    if n and (not n & n - 1):
        return n
    count = 0
    while n != 0:
        n >>= 1
        count += 1
    return 1 << count