HIPAA Data Compliance - Test Data Management Techniques

The Health Insurance Portability and Accountability Act (HIPAA) was enacted by the U.S. Congress in 1996. The Act was created to improve access to health insurance encouraging the widespread use of electronic data interchange, reduce abuse and fraud, and lower the overall cost of healthcare in the United States. As a key provision, the Security Rule requires organizations to use appropriate measures and safeguards to protect the confidentiality, integrity, and availability of personally identifiable health information with regards to an individual’s physical or mental health or condition, their provision of health care, and their payment for that care.

Grid-Tools have partnered with HIPAA QA, offering HIPAAdvanced™ - a managed service for test data analysis, creation and conversion for all HIPAA testing requirements. It utilizes Grid-Tools sophisticated solutions and data inheritance processes to deliver PHI secure, robust test data. This service includes all X12N transaction sets, data relationships, legacy data formats and HIPAA 5010 file interdependencies for full lifecycle testing. This best-in-class industry offering combines decades of testing and test data expertise with leading data masking, scrubbing and obfuscation techniques for PHI. HIPAAdvanced™ services are unique in the industry and provide end-to-end test data management for all phases of testing.

Click here to see a list of test files for HIPAA 4010A to 5010 conversions.

Key HIPAA Data Requirements

The HIPAA regulation requires the securing all production and non-production databases because it requires all patient healthcare information to be protected when electronically stored, maintained or transmitted. It also mandates that each user be uniquely identified before being granted access to confidential information. The 1996 HIPAA law focuses on protecting health information. The law exists to standardize communication between health care providers and health insurers and to protect the privacy and security of protected health information (PHI) on all systems. All PHI-related data residing on any database (i.e. production and non-production, backups, or transmitted over the network) requires protection. The key requirements from a database point of view are in Section 164.308—administrative safeguards—and Section 164.312—technical safeguards. To meet HIPAA compliance requirements, like any other compliance, enterprises should first establish strong AAA DBMS security, besides having strong policies and procedures. In addition, enterprises should look at data-at-rest and data-in-motion encryption as well as data auditing solutions. Further, enterprises should look at data masking or data-generation tools to protect private data in test and development environments.

Who is Impacted by HIPAA?

The HIPAA Security Rule applies to health plans which include health, dental, vision and prescription drug insurers, health care clearinghouses, and to any health care provider that transmits health information in electronic form.

Consequences for HIPAA Data Breaches

Organizations that do not comply with the Security Rule face civil and criminal penalties that range from fines to prison terms. Other unfavourable consequences for not protecting identifiable health information can include negative publicity, lost customers, loss of business partners, and legal liability as attorneys use HIPAA requirements as the basis for filing civil suits against non-compliant organizations.

Grid-Tools – The Leader in Test Data Management Solutions for Healthcare Firms

Grid-Tools has experience in working with some of the top healthcare institutions internationally on test data management initiatives. With Grid-Tools, organizations are able to implement best practice techniques, save time and money and develop better testing and development results and standards. Grid-Tools’ success with healthcare organizations stems from a unique approach, a niche solution and an unparalleled track-record.

Your organization’s test data management initiatives are likely to focus on the generation or creation of compliant test or development data, and the management of this data. Many healthcare organizations are looking to share and manipulate production-like data across their test and development teams in highly complex environments.

Due to recent regulatory initiatives globally, organizations are unable to use “live” data in the creation of non-production scenarios. Likewise, in order to reduce complexity, reduce storage costs and increase productivity, many organizations are looking for alternatives to using and manipulating copies of large production databases in non-production environments.

Grid-Tools offer the flexibility of creating data which models the referential and relational integrity of production environments or masks and anonymizes production data; providing your organization with rich, compliant data sets. The result is less data, but more variety. This offers a flexible solution and a strategic method, with the data transforming into a reusable asset. Read more about our test data management solution Datamaker™ here.

The creation of synthetic or masked data targets the problem of editing, hacking and manipulating production data; reducing test and development cycles, reducing disk space and saving time and money. It also eliminates the need to manually ensure your company’s healthcare records remain confidential. The end product is completely compliant with HIPAA regulations.