EarlyTracks

Medical records have turned digital. Paper has largely been discarded. But medical records are still huge data containers lacking structure, containing abundant information which are often redundant, not standardised.
Text mining, semantic technologies, machine learning applied to raw medical and clinical data can bring efficiency and performance gains to the healthcare sector, allowing its stakeholders to better perform their tasks.

EarlyTracks, a Belgian university spin-off, is a technology company, applying NLP and semantic technologies as well as enterprise search techniques to data-driven decision making and management for healthcare institutions.
The company brings semantics and AI proficiency to the field of medical records management.

EarlyTracks medical information management tools, based on semantics and AI techniques, allow the healthcare professionals to automatically consolide and structure health problems, signs and informations that are included in structured and non structured medical documents. Hidden information is surfaced and made more readily usable by the hospital medical and clinical staff.

EarlyTracks’ text mining (NLP) tools and semantic engines are able to structure and make more actionable sometimes unclear, ill-described medical concepts and phrasing, improving the way healthcare professionals are able to make decisions and manage a patient present and historic medical informations.

EarlyTracks is pursuing various avenues for integration and cooperation, including with EPR providers. The start-up is also considering future opportunities, at the first line level or in the field of clinical research.
International expansion seems to be further away but is still a possibility.