Processing and analysing unexploited clinical data
Artificial Intelligence plays a very important role in the efficient exploitation of clinical data, as it can help grow your company revenue, reduce operational costs and improve compliance.
What do we solve?
Outdated clinical data exploitation methodologies are costly, unreliable, and they can’t extract the maximum value from clinical data contained in medical text. Efficient clinical data exploitation enables the improvement and creation of medical products and services. It also increases the quality of manual processes related with patient diagnosis, treatments, and safety.
How do we solve it?
By means of a custom unified ontology, we automatically detect, classify, and organize medical concepts contained in any type of text, format, or medical specialty. Facilitating the implementation of interoperability standards, advanced graph analytics and smart automation.
WHAT do we deliver
Customizable service API for the detection and classification of medical concepts in text documents (English / Spanish), using more than 5 million medical concepts including UMLS, SNOMED CT, ICD 10, MEDRA, etc.
Intelligent automation of processes
Reduction of time and costs
Increase quality of processes
Advanced analytics applied to medical findings
Functionalities to support diagnostics and medical procedures
Immediate and accurate search and access to information
PUBLIC AND PRIVATE HOSPITALS
New business models from data on medical records
Reduce operational costs
Anticipate needs and plan ahead (e.g. chronic patients)
CRO – PHARMA COMPANIES – MEDICAL DEVICE COMPANIES
Increase speed of execution and quality of findings (probability of publication success).
Operational cost reduction
Patient prioritization by segments
Reduction of drop-out rates
Download our brochure
Download our brochure to have more information on the use case: