A healthcare provider or payer that goes through a data normalization project will want to make sure its investment in time and money continues to pay off down the road.
You’ve obtained executive buy-in, conducted a data inventory, identified key constraints, prioritized projects, established a governance structure, and embarked on your first initiative. Ideally your project resulted in more consistent and useful data, with demonstrable benefits for your organization. Your next order of business is to make sure your useful data stays that way. A healthcare organization that fails to continuously monitor its normalized model runs the risk of returning to its previous condition: data chaos.