Phemi

The PHEMI Data Privacy Manager is a solution designed to securely share sensitive data while maintaining privacy and compliance. According to the vendor, it is suitable for organizations of any size, with scalability to meet the needs of the healthcare and life sciences industries. Professions and industries such as healthcare organizations, life sciences companies, research institutions, pharmaceutical companies, and health systems can benefit from the privacy features offered by PHEMI.

Key Features

Privacy designed down to the data cell level: According to the vendor, PHEMI incorporates privacy by design principles, ensuring privacy is a primary consideration. It labels every element of data with metadata for access control purposes and uses Attribute-Based Access Control (ABAC) to govern queries, combining user attributes and metadata to evaluate access against policy rules.

Advanced de-identification & Data Governance: PHEMI provides a range of de-identification functions to extract value from sensitive data sets. According to the vendor, it offers de-identification methods such as masking, rounding, tokenizing, and encryption of potentially sensitive fields. Evaluation functions like k-anonymity are available to assess the risk of re-identification, and custom algorithms can be integrated into data pipelines for de-identification.

The richest set of prebuilt connectors: PHEMI comes with over 200 pre-built connectors to various data sources, enabling easy ingestion of data into the system or export of transformed data sets. The vendor states that a graphical framework is available to rapidly build custom connectors for integrating data from different sources.

All data, structured and unstructured: PHEMI is positioned as a privacy-preserving manager for all types of sensitive data, supporting structured data, unstructured data, and specialized data sets like genomic data. The vendor claims that its schema-on-read model allows unbiased data exploration and supports various data formats.

Automated versioning & tracking: PHEMI automates the data management process, from acquisition to analysis. According to the vendor, it ensures efficient transformation and analysis of data through automated data pipelines. Every step in the pipeline is tracked and audited for data provenance and lineage, and file versioning allows access to data from any point in time for reproducible results.

Data science & analytics tool integration: PHEMI integrates seamlessly with popular data science and analytics tools, including Apache Spark, Apache Zeppelin, Cloudera Data Science Workbench, and traditional BI tools like Tableau. The vendor claims that it provides a privacy-preserving analytics model and logs and protects access to data.

Secure, Govern, Curate & Control Data: PHEMI addresses privacy and security challenges by securing, governing, curating, and controlling access to privacy-sensitive personal healthcare information (PHI). According to the vendor, it facilitates responsible data sharing for medical research programs and compliance with privacy regulations.

Single Pane of Glass: PHEMI provides a centralized management platform for accessing and managing data stored in various locations. The vendor claims that it allows ingestion from cloud or on-premise sources and storage in the cloud or hybrid cloud. Integration with platform and service complexities is abstracted away for ease of use.

Metadata Governs Access Control: Data access in PHEMI is driven by its Attribute-Based Access Control (ABAC) policy engine. According to the vendor, metadata attributes of the data, combined with user and environmental attributes, determine access. Access controls are applied at the lowest data level, providing contextual and scalable access control. Metadata curation begins on ingest and is iteratively refined for finer-grained access.