
    Write a function to determine the number of patients where historical readmission patterns, risk assessment predictions, and actual outcomes all match. Given three lists containing binary values (0 or 1) representing historical readmission records, current risk predictions, and actual patient outcomes respectively, count the cases where all three indicators align at the same position.
    

    
def count_samepair(list1, list2, list3):
    """
    Write a function to determine the number of patients where historical readmission patterns, risk assessment predictions, and actual outcomes all match. Given three lists containing binary values (0 or 1) representing historical readmission records, current risk predictions, and actual patient outcomes respectively, count the cases where all three indicators align at the same position.
    

    """
def count_samepair(list1, list2, list3):
    """
    Write a function to determine the number of patients where historical readmission patterns, risk assessment predictions, and actual outcomes all match. Given three lists containing binary values (0 or 1) representing historical readmission records, current risk predictions, and actual patient outcomes respectively, count the cases where all three indicators align at the same position.
    

    """
    result = sum((m == n == o for (m, n, o) in zip(list1, list2, list3)))
    return result