How health plans can maximize clinical data ROI by Capturing Accurate Risk Scores
Risk adjustment is used to quantify an individual’s health or disease status. A risk score can be used in many applications, including to establish reimbursement under payment models and for proactive care management activities, such as identifying candidates for disease management programs.
Digital clinical data has emerged as a rich and more current source of input to augment claims data for risk adjustment. However, because of systemic issues in data quality, it’s important to ensure that risk adjustment activities are based on Upcycled Data™ to accelerate workflows as well as to feed analytics.
Learn more about how health plans can maximize ROI from clinical data by capturing accurate risk scores by downloading the following white paper.