Contact

No. Savana works on a license model, as its foundational values include the rejection of any model based on third-party use of data. Savana only helps users manage their own data.

Savana’s algorithm ensures anonymization; therefore, no data protection regulation applies.

Additionally, personal clinical records never leave the institution, only aggregate clinical data. Individual data is never used to train the algorithms.

Any clinical document: reports, test results, prescriptions, etc.

No, just on electronic clinical records.

Yes, electronic clinical records are rapidly penetrating the healthcare system, and the majority of developed countries have a growing number of institutions working with them.

Because Savana reads plain text, it can work in any system.

In every case, Savana performs a quality analysis of the documents, selecting those that meet the standards for extraction and reports this information to its users.

Savana is the first company to introduce deep learning in the field and to be able to train millions of clinical texts in the shortest time. Moreover, Savana was founded by an experienced clinical team that has developed useful features for real clinical environments, where many decisions need to be made fast.

Proprietary EHRead technology combines several techniques in order to detect concepts and relationships among them. Supported by linguistic tools, statistics, databases and medical knowledge, the platform is able to process the particularities of human language: typos, multiple ways of expressing negation or speculation, acronyms, subjectivity, subordinated structures, etc., in order to determine which unique concepts correspond to each clinical concept.

Savana’s tools are designed to deliver the most complete information in an agile, intuitive and smart way, without a user guide.

A support team of IT specialists and practicing physicians is available at all times.