Challenges Encountered When Using Required Machine-Readable Files From the 2022 Transparency in Coverage Rule: A Blue Cross and Blue Shield of Louisiana Case Study
Speaker(s)
Zhang H1, Zhang R1, Lucas E2, Zhang Y1, Cardinal T1, Kim T1, Trahan NR1, Webb J1, McLaurin R1, Mayo T1, Bourgeois T1, Vicidomina B1
1Blue Cross Blue Shield of Louisiana, Baton Rouge, LA, USA, 2Blue Cross Blue Shield of Louisiana, Baton Rouge , LA, USA
Presentation Documents
OBJECTIVES: Starting July 1, 2022, the Transparency in Coverage Rule requires payers to publish Machine Readable Files (MRFs) that represent information on billing rates among providers. Blue Cross and Blue Shield of Louisiana (BCBSLA) set out to understand potential limitations and challenges healthcare consumers might encounter.
METHODS: BCBSLA retrieved selected files that payers provided. Local teams and external vendors established Extract, Transform, and Load (ETL) processes to inject large-sized MRF data (e.g., more than 100 TB) from different payers every month. Teams leveraged available MRF data to understand provider rates. Researchers used weighting methodology to allow for comparison among providers. They encountered limitations related to validity and completeness of the data and addressed them, as appropriate, to allow for early analysis.
RESULTS: Analysis of specific providers indicated significant differences among payers based on payment policies. When assessing multiple procedure reduction policies, Payer A was 108% of Payer B rates when using the information available in the MRFs. This increased to 131% of Payer B rates when considering policy differences at the claim level.
CONCLUSIONS: Transparency in Coverage Rule-mandated MRFs may not be easily accessible for the typical healthcare consumer. The BCBSLA experience highlights factors that may create challenges for consumers. Primarily, the schema of the files is difficult to ingest and access. Reimbursement knowledge is required to understand pricing methodology and develop meaningful insight. Lastly, reliance on complex data aggregation methodology is essential to develop comparisons among providers.
Code
HPR74
Topic
Health Policy & Regulatory
Topic Subcategory
Health Disparities & Equity, Insurance Systems & National Health Care, Public Spending & National Health Expenditures, Reimbursement & Access Policy
Disease
No Additional Disease & Conditions/Specialized Treatment Areas