Guilherme Portela

Principal Engineer at Verbotics AI

Guilherme Portela is a Principal Engineer at Verbotics AI since November 2020, specializing in the development of APIs and user interfaces for the healthcare sector, focusing on process automation and risk assessment. With a strong background in software engineering, Guilherme has previously served as a Software Development Consultant, Lead Systems Engineer at Verbotics AI, Research Engineer in the Brazilian public healthcare sector, and Technology Consultant for Fiocruz. Education includes a Master's degree in Healthcare Innovation and Management from Universidade Federal do Rio Grande do Norte and a Bachelor's degree in Systems Analysis and Development from IFRN. Skills encompass a variety of technologies including Python, C++, and AWS, among others.

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Natal, Brazil

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Verbotics AI

Conventional healthcare NLP engines are overly dependent on clinical terminologies for identification of essential concepts in physician narratives. Accordingly they fail to fully capture all aspects of every medical condition, diagnosis, and procedure documented by physicians. Absent this requisite information the output often contains many non-specific, non-actionable results. Verbotics is a proprietary, first-of-its-kind healthcare NLP engine that normalizes free-flowing patient data to the most exacting clinical concepts available. Extracting socio-economic indicators of health, major/minor complications, allergies and risk factors, Verbotics then transforms unstructured patient information into a timeline of clinical events enabling a variety of use cases. Our Solution Verbotics is a fully proprietary healthcare platform with no third party or open-source components. Verbotics intuitively understands patient data, both structured and unstructured, incorporating all patient information, regardless of format. This heretofore unobtainable data is transformed to overcome long standing challenges in optimizing reimbursement, improving clinical documentation, automating coding audits, and improving quality metrics and population health analytics.


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