Leverage Adjustable Confidence Scoring for Empowered Payer Negotiations
In survey research1, a confidence level is applied to express how confident a researcher is in the data obtained from a population sample. A confidence level lets someone know if they can trust the research data to make decisions.
Similarly, a confidence level (or score), when applied to all-payer claims data (APCD), indicates the trustworthiness of this data for making healthcare decisions. It’s a metric that ensures integrity and can empower a provider to use this data with greater assurance.
Greater data confidence can be useful when pursuing a number of healthcare planning initiatives. In this post, we’ll discuss specifically how an adjustable confidence-scoring system is valuable when preparing for provider-payer reimbursement negotiations. Equipped with this tool, providers can:
- Experience data with certainty, knowing that the cleaning and curation work has already been done
- Apply their intuition, since variability can be adjusted to allow for the application of local knowledge
- Approach negotiations empowered by data insights, assured that the data they’re relying upon to make decisions is trustworthy
Let's get started discussing each of these factors in more detail.