Why Data Quality Makes or Breaks Population Health Efforts

When it comes to population health management, the purpose of data aggregation and normalization is to blend data from different sources together to create a universal destination that aids providers and medical groups in their clinical and financial decision-making. To get patient data represented properly, it’s crucial the data extraction process from source system to the data warehouse is as smooth and efficient as possible. However, when source systems lack data governance, there can be major roadblocks that hinder accurate analytics and factual reports. Complications arise with the following scenarios: Entering custom codes into data capture systems Customizing source systems …