S 5246: MATCH IT Act of 2026

S 5246 in plain English: The MATCH IT Act of 2026 would address problems caused by inaccurate patient identification in the U.S. healthcare system, which the bill states costs hospitals an average of $2,500,000 and the health care system more than $6,700,000,000 annually. The bill aims to reduce duplicate and mismatched medical records that lead to repeated care and denied insurance claims.

Stated purpose

This bill aims to improve the accuracy of matching patients to their correct medical records by establishing uniform definitions, data standards, and reporting requirements for patient matching across the U.S. health care system.

Key points

• Targets inaccurate patient identification, which costs the U.S. health care system more than $6,700,000,000 annually
• Duplicate records cost an average of $1,950 per patient inpatient stay and more than $1,700 per emergency department visit
• Inaccurate patient identification costs the average hospital $2,500,000 annually
• Addresses denied insurance claims, 35% of which stem from inaccurate patient identification

Arguments supporters make

• Patient misidentification causes real harm — including medical errors and even deaths — so setting national standards is a basic patient safety measure.
• Standardizing patient matching could save billions of dollars currently lost to duplicate records, repeated tests, and denied insurance claims.
• There is currently no consistent definition of 'patient match rate,' making it impossible to measure or fix the problem nationally — this bill creates that common baseline.

Arguments opponents make

• Creating a federal standard for how patient data is collected and matched raises privacy concerns, since broader data sharing increases the risk of unauthorized access or misuse of sensitive health information.
• Mandating new data standards and reporting requirements puts a compliance burden on hospitals, clinics, and health IT vendors, especially smaller organizations with limited resources.
• A top-down federal definition and data set may not reflect the diversity of health care settings and could lock in standards that become outdated or fail to work well in practice.

Tradeoffs

Improving patient matching requires collecting and sharing more patient data elements, which may improve safety and reduce costs but also increases privacy and data-security risks. Compliance requirements protect patients but impose new obligations on providers and technology vendors who must adapt their systems.

Current status in Congress: In committee.

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