Integrating data into decision making can lead to more efficient resource use by delivering more targeted, patient-centered care and reducing hospital admissions. However, the evidence for cost reduction is mixed due to the complex nature of integration and difficulties attributing effects. Studies find the most important factors for successful integration are simplifying interactions through single assessments, co-locating services, and maximizing each patient contact with a single point of contact. To better evaluate integration, agreed definitions, standardized metrics, clarity on success measures, robust methods, and patient-centered data collection are needed.