Use case
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Outdated clinical data exploitation methodologies are costly, unreliable, and they can’t extract the maximum value from clinical data contained in medical text.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
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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.
Use cases
MEDICAL SOFTWARE
Benefits
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
Benefits
New business models from data on medical records
Reduce operational costs
Service personalization
Anticipate needs and plan ahead (e.g. chronic patients)
CRO – PHARMA COMPANIES – MEDICAL DEVICE COMPANIES
Benefits
Increase speed of execution and quality of findings (probability of publication success).
Retrospective studies
Pharmacovigilance
Technovigilance
Quality control
Pharmacoeconomics
Operational cost reduction
GOVERNMENT
Benefits
Cost reduction
Treatment optimization
Adherence
Clinical guidelines
Care optimization
Patient prioritization by segments
Reduction of drop-out rates
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Other use cases
AI based Pharmacovigilance – Medical Literature
AI based Pharmacovigilance – ICSR management
Real world evidence
Smart Medical Writing
