
    Design a function that determines the minimum batch size for processing patient records in the hospital's risk assessment system, where batch sizes must be powers of 2 to optimize the parallel processing capabilities of the predictive analytics engine. Given the current number of patient records, the function should return the smallest power of 2 that can accommodate all records in a single batch to ensure efficient processing of readmission risk assessments.
    

    
def next_power_of_2(n):
    """
    Design a function that determines the minimum batch size for processing patient records in the hospital's risk assessment system, where batch sizes must be powers of 2 to optimize the parallel processing capabilities of the predictive analytics engine. Given the current number of patient records, the function should return the smallest power of 2 that can accommodate all records in a single batch to ensure efficient processing of readmission risk assessments.
    

    """
def next_power_of_2(n):
    """
    Design a function that determines the minimum batch size for processing patient records in the hospital's risk assessment system, where batch sizes must be powers of 2 to optimize the parallel processing capabilities of the predictive analytics engine. Given the current number of patient records, the function should return the smallest power of 2 that can accommodate all records in a single batch to ensure efficient processing of readmission risk assessments.
    

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