Clinical Decision Support System for ADR Prevention

Ergobyte develops expert systems that augment human thinking. Thanks to its technical superiority, the systems’ logic and inner workings are structured in a way that each result can be formally proven by tracing back its logical steps up to the source material. This interpretable reasoning allows the user to verify and understand the produced outcome.

Clinical Decision Support System for Adverse Drug Reaction Prevention

Ergobyte has developed an AI-powered service that offers explainable, legally sound medication decision support in real time. The system recommends suitable medications based on patient’s medical conditions and cross-checks them for adverse reactions. It is able to check drug-to-drug and drug-to-disease interactions, suggested medications per disease, detailed treatment posology and relevant advisories in order to produce personalized medical recommendations.

The CDSS works on a knowledge base where all the useful information is stored. Medical rules are created taking into account recent literature and official Summary of Product Characteristics (SmPC) documents. Applicable medication treatments are selected by active ingredient and then adapted to the market’s brand names and specific package concentrations.

Its key features are the following:

• Rich knowledge base of: 25.000+ rules (based on EMA & FDA marketing authorisations), 2.900 active ingredients, 7.600 package inserts (SmPCs), 40.500 international brand names

• Best-in-class medication safety checks (drug-to-drug/-disease/-food), with high value in cases of polypharmacy and multimorbidity

• Adaptability to specific cases, e.g. psychiatry, palliative care, ICU, rehabilitation, patient adherence

• Service accessible via web/mobile/APIs

Reference: Doulaverakis, Charalampos & Nikolaidis, George & Kleontas, Athanasios & Kompatsiaris, Ioannis. (2012). GalenOWL: Ontology-based drug recommendations discovery. Journal of biomedical semantics. 3. 14. 10.1186/2041-1480-3-14