Verbotics AI
Michael Parker is a seasoned professional with a diverse background in consulting and business development, currently serving as a Senior Consultant at Astra since 2001 and as a Business Development specialist at Verbotics AI since January 2020. At Verbotics AI, Michael focuses on enhancing the quality of healthcare data to improve outcomes for various stakeholders. Previous roles include Partner at mTheory, where Michael contributed to creating digital solutions aligned with client objectives, and Vice President of Interactive Strategy at Pixel Brothers, Inc. Michael also held managerial positions at Northwestern Memorial Hospital and Director of Applications Engineering at Giant Step - Leo Burnett. Michael began a career in consulting at Arthur Andersen after earning a B.A. in English Literature from Florida International University.
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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.