Immuta for Healthcare & Life Sciences

Immuta enables fast, safe, and trusted access to and sharing of health data vital for research, innovation, and efficient operations. Eight of the world's top 20 pharmaceutical companies trust Immuta to ensure full compliance with privacy rules for protected health information (PHI).


Immuta is trusted by 8 of the world's top 20 pharmaceutical companies.


Transparent Data Access Controls

Immuta enables consistent, attribute- and purpose-based access controls authored in plain language that data platform owners, compliance, and legal professionals can see, understand, consistently enforce, and trust. Sensitive data is safely shared on-demand with stakeholders to achieve key strategic objectives.

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Dynamic Data Masking

Immuta lets you define a single policy with data masking rules that can be applied to many different users, data sets, and purposes, from compliance with HIPAA’s “minimum necessary” standard, to implementing advanced patient data de-identification methodologies that maximize data’s value.

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Policy Enforcement & Auditing

Immuta’s automated policy enforcement, auditing, and reporting capabilities make it easier than ever to prove your data management practices comply with privacy rules like HIPAA and GDPR, as well as drug- and device-related regulations set by the FDA and other agencies.

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We replaced our access control roles within Roche from 300+ roles down to one using Immuta’s attribute-level access control feature and the new table grants access feature.

Paul Rankin Paul Rankin Head of Data Management Platforms, Roche

Typical Healthcare and Life Sciences Industry Use Cases

Immuta provides consistent, scalable data access control, with transparent, auditable data privacy and regulatory compliance. Analysts have the right level of access to sensitive data, so they can freely and efficiently utilize data science and advanced analytics to drive breakthroughs in treatments and patient care.

Audit-Ready Compliance
  • HIPAA/HITECH Compliance
  • HITRUST CSF Certification
  • SOC 2 Attestation
  • FDA GxP Compliance
Expedited Innovations in Treatment and Care
  • Data de-identification for accelerated and compliant data access
  • Scalable data access for data science and advanced analytics
  • Purpose-based restrictions for compliant collaboration
Secure Sensitive Data Sharing with Third Parties
  • Share data with contractors, partners, auditors, and other third parties
  • Enhance the patient experience
  • Improve public health initiatives and trusted outcomes

Frequently Asked Questions

What is information governance in healthcare?

Information governance in healthcare aims to align data management and access control with strict regulatory standards in a way that maximizes both data utility and patient privacy. Since PHI is particularly sensitive, the information governance in healthcare can be a complex yet critical task in ensuring high quality patient care.

Why do you need anonymization tools in the healthcare industry?

Anonymizing health data with data anonymization tools puts patient privacy first while allowing healthcare organizations to retain as much data utility as possible. This helps achieves HIPAA compliance, while allowing data teams to derive timely insights from patient information to deliver the best care possible.

What types of sensitive data are considered PHI?

The types of sensitive data that are considered PHI include patient health records, the services provided to them, test results, prescription and appointment information, medical billing and insurance information, and communication records between patients and providers, including electronic communications like telehealth visits.

Which data de-identification techniques are best for protecting PHI?

HIPAA specifies two methods for de-identifying protected health information (PHI) – Safe Harbor and Expert Determination. Safe Harbor involves removing 18 specific identifiers from a data set, while Expert Determination minimizes re-identification risk by applying statistical and scientific principles. Data de-identification techniques like conditional masking, nulling, k-anonymization, differential privacy, and randomized response can all be used to implement these methods and achieve HIPAA compliance.

Is de-identified PHI covered by HIPAA?

De-identified PHI is not covered by HIPAA, so long as the de-identification process satisfies either the Safe Harbor or Expert Determination method, as laid out in HIPAA’s Privacy Rule.

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