Multi-source data sourcing is complex
Inaccuracy in interpreting data is rampant
Despite their size, even large-scale healthcare organizations use generalized predictive models and fail to consider the local essence and needs of the population they serve, creating a square peg in a round hole. This can lead to poor data interpretation and misleading insights.
Incorrect decision-making caused by data complexity
Most analytics solutions present complex and overwhelming dashboards to end-users. Decision-makers suffer from ‘dashboard fatigue,’ hindering their ability to use them.
Improve costs and outcomes of value-based care