Compile: IDN Level of Control
Understand the level of control exerted by IDNs on the treatment behavior of the employed physicians
Compile’s high capture and longitudinal claims data, superior affiliations along with an innovative business rules and analytics approach can help in understanding the level of control exerted by IDNs (Integrated Delivery Networks) on the treatment decisions of the physicians. Significance of IDNs as an influential player in the US healthcare system is increasing, driven by the push from volume to value. IDNs have the potential to influence physician treatment behavior, and the level of control metric can help in informing the targeting strategies of the manufacturers.
Compile uses its affiliation data to identify and map the employed physicians to their IDNs. The treatment behavior of the physician is compared to its IDN using the claims data. A relative control metric is derived by comparing the % of physicians following a similar treatment pattern as their IDN across all the IDNs.
IDN Level of Control Dashboard:
Along with the data, Compile offers a user friendly and intuitive dashboard to visualize the level of control results. It also gives visibility into the geographic spread of these IDNs, there size and the level of control everted.
Data Sources Included:
– Patient Level Claims Data (Medical & Pharmacy)
– Affiliations (HCP-HCO and HCO-Parent)
– IDN name
– Claim count
– Employed physicians
– Employed physicians following a similar treatment pattern
– Geography (State)
– Time frame (Year, Month)
– Level of control
Example Use Case:
– Identify the IDNs with the maximum control over its physicians
– Understand the proportion of employed vs. affiliated physicians by IDN
About the Provider:
Compile is a unified, fully linked system of record for the U.S. Healthcare market. Compile’s data offers an unprecedented level of visibility into the treatment activity of patients and network of prescribers, providers in the healthcare domain.
Compile’s database is built using graph technology that maps medical and pharmacy claims, along with a diverse set of public data sources which include CMS, PubMed, Clinical Trials, Twitter, and more. Compile’s affiliation engine links multiple linked data sources using custom algorithms that compute links between providers.
With best-in-class longitudinal medical claims coverage (~60%), high pharmacy claims coverage, superior affiliations along with an array of linked data sources Compile is the go-to solution for understanding U.S. healthcare.
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