CMS oversight of Medicare beneficiary data security needs improvement

April 6, 2018

The Centers for Medicare and Medicaid Services (CMS) shares Medicare beneficiary data with three major types of external entities: (1) Medicare Administrative Contractors (MAC) that perform processing and distribution functions that support the payment of Medicare benefits; (2) research organizations (researchers) that use Medicare beneficiary data to study how healthcare services are provided to beneficiaries; and (3) qualified public or private entities that use claims data to evaluate the performance of Medicare service providers and equipment suppliers.

CMS has developed requirements for implementing security controls that align with federal guidance for two of the three types of external entities that access Medicare beneficiary data. While CMS has developed guidance for MACs and qualified entities, it has not developed equivalent guidance for researchers. Researchers must adhere to broad government wide standards, but are not given guidance on which specific controls to implement.

According to CMS, the lack of specific guidance gives the researchers more flexibility to independently assess their security risks and determine which controls are appropriate to implement; however, without providing comprehensive, risk-based security guidance to researchers, CMS increases the risk that external entities possessing agency data may not have applied security controls that meet CMS standards.

Additionally, CMS has established an oversight program for the security of MAC data, but has not established a corresponding program to oversee security implementation by researchers and qualified entities. Without effective oversight measures in place for researchers and qualified entities, CMS cannot fully ensure that the security of Medicare beneficiary data is being adequately protected.

Regarding MACs, although they are subject to two types of independent annual assessments, which have regularly identified weaknesses in their implementation of security controls, the weaknesses that have been assessed as low-risk have not been consistently tracked in the CMS finding tracking system. Without more consistent tracking of these low-risk weaknesses, it may be difficult for CMS to determine if all weaknesses are being addressed in a timely manner.

Recent data breaches have highlighted the importance of ensuring the security of health information, including Medicare beneficiary data. Such data are created, stored, and used by a wide variety of entities, such as healthcare providers, insurance companies, financial institutions, researchers, and others.

GAO was asked to conduct a study of CMS efforts to protect Medicare beneficiary data accessed by external entities. GAO’s objectives were to (1) identify the major external entities that collect, store, and process Medicare fee-for-service beneficiary data; (2) determine whether requirements for the protection of Medicare beneficiary data align with federal guidance; and (3) assess CMS oversight of the implementation of those requirements. GAO analyzed information about how external entities access data, reviewed CMS documentation on who they share data with, compared federal standards with CMS security requirements for external entities, and analyzed results of independent security reviews. GAO also interviewed CMS officials about their oversight activities.

GAO recommends that CMS develop additional guidance for researchers on implementing security controls required by CMS, consistently track results of independent assessments, and provide oversight of researchers and qualified entities. CMS concurred with GAO’s three recommendations and described actions it has planned or taken to address them.

GAO has the full release

Sponsored Recommendations

The Healthcare Provider's Guide to Accelerating Clinician Onboarding

Improve clinician satisfaction and productivity to enhance patient care

ASK THE EXPERT: ServiceNow’s Erin Smithouser on what C-suite healthcare executives need to know about artificial intelligence

Generative artificial intelligence, also known as GenAI, learns from vast amounts of existing data and large language models to help healthcare organizations improve hospital ...

TEST: Ask the Expert: Is Your Patients' Understanding Putting You at Risk?

Effective health literacy in healthcare is essential for ensuring informed consent, reducing medical malpractice risks, and enhancing patient-provider communication. Unfortunately...

From Strategy to Action: The Power of Enterprise Value-Based Care

Ever wonder why your meticulously planned value-based care model hasn't moved beyond the concept stage? You're not alone! Transition from theory to practice with enterprise value...