<｜begin▁of▁sentence｜>### Instruction:
Imagine you're charting a care plan for a patient's therapeutic journey that stretches from admission (node 0) to discharge (node 4), with several critical milestones (nodes) along the way. In this scenario, we need to determine the average length of the treatment pathway, equivalent to finding the average shortest path length in a well-outlined health network. This healthcare map is straightforward, with each milestone leading directly to the next without any detours or additional connections.

Can you calculate the average length of this health journey through our network, assuming that the distance between each successive milestone is uniform and unweighted? This information will help us to streamline care delivery and enhance the patient's experience through our healthcare system.
### Response:
import networkx as nx

# Create an unweighted graph
G = nx.path_graph(5)

# Compute the average shortest path length
avg_shortest_path = nx.average_shortest_path_length(G)

print('Average shortest path length:', avg_shortest_path)
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