
    Given a list of historical readmission rates for different medical conditions and a list of current patient vital sign measurements, develop a function that identifies the N highest-risk combinations by multiplying each readmission rate with each vital sign measurement. Each combination must use exactly one readmission rate and one vital sign measurement, helping medical staff prioritize the most critical factors for potential patient readmission.
    

    
def large_product(nums1, nums2, N):
    """
    Given a list of historical readmission rates for different medical conditions and a list of current patient vital sign measurements, develop a function that identifies the N highest-risk combinations by multiplying each readmission rate with each vital sign measurement. Each combination must use exactly one readmission rate and one vital sign measurement, helping medical staff prioritize the most critical factors for potential patient readmission.
    

    """
def large_product(nums1, nums2, N):
    """
    Given a list of historical readmission rates for different medical conditions and a list of current patient vital sign measurements, develop a function that identifies the N highest-risk combinations by multiplying each readmission rate with each vital sign measurement. Each combination must use exactly one readmission rate and one vital sign measurement, helping medical staff prioritize the most critical factors for potential patient readmission.
    

    """
    result = sorted([x * y for x in nums1 for y in nums2], reverse=True)[:N]
    return result