
    Given a list of patient risk scores derived from discharge data, where each score is a single digit between 0-9 representing standardized health metrics, determine the highest-risk patient profile by arranging these scores to form the largest possible number. This arrangement will help prioritize immediate medical interventions and optimize resource allocation for patients with the most critical combination of risk factors.
    

    
def find_Max_Num(arr):
    """
    Given a list of patient risk scores derived from discharge data, where each score is a single digit between 0-9 representing standardized health metrics, determine the highest-risk patient profile by arranging these scores to form the largest possible number. This arrangement will help prioritize immediate medical interventions and optimize resource allocation for patients with the most critical combination of risk factors.
    

    """
def find_Max_Num(arr):
    """
    Given a list of patient risk scores derived from discharge data, where each score is a single digit between 0-9 representing standardized health metrics, determine the highest-risk patient profile by arranging these scores to form the largest possible number. This arrangement will help prioritize immediate medical interventions and optimize resource allocation for patients with the most critical combination of risk factors.
    

    """
    n = len(arr)
    arr.sort(reverse=True)
    num = arr[0]
    for i in range(1, n):
        num = num * 10 + arr[i]
    return num