Experienced healthcare data professional with over 5 years of experience working on medical imaging informatics and clinical data-driven software solutions. Skilled in healthcare data governance and management, enterprise healthcare informatics application (PACS-Epic) integration, large-scale healthcare data process, transformation, analytics, and visualization, AI and machine learning techniques in radiology. Strong enterprise software development and clinical data problem solving professional with an in-depth understanding of consistent clinical operation and skills of leveraging data resources to deliver actionable insights and innovative solutions for value-based patient care. Accomplished in leading the design, development, deployment, and sustainment of an effective data governance infrastructure for regulatory patient safety reporting, operational performance monitoring, and business intelligence in a large academic medical center.
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· Worked with Duke OLV and potential investors to develop long-term technology and business blueprints through well-managed data and data-driven analytics
· Drafted and budgeted a NIH STTR funding proposal (1R42EB028227) with detailed strategic technologies and major capital expenses in 3 proposed fiscal years
· Attended medical imaging informatics professional meetings, workshops, conferences and seminars to maintain high-level knowledge of current and emerging information technology development and applications
· Collaborated with cross-functional teams in multiple medical centers (Duke, UCSF, Stanford, and MD Anderson) for image quality and safety monitoring platform deployment for mutually beneficial outcomes
· Promoted ongoing team development and growth through training and professional skills enhancement
· Demonstrated ability to simultaneously embrace macro-level strategic decisions and micro-level implementation
· Interpreted multifaceted technological issues into defined frameworks and highly scripted action plans
· Worked with physician, physicist, technologist, and department management to develop comprehensive monitoring plans for all aspects of medical imaging practice including usage and quality of the equipment, precision of the applied procedures, radiation dose to the patient, and the resulting image quality
· Established and secured enterprise-wide imaging data collection, manage, and analytics infrastructures to support patient-specific image quality and safety monitoring over Duke radiology in 3 hospitals
· Coordinated the translation and implementation of Duke RAILabs research into clinical imaging practice towards evident, personalized, quantitative, consistent, precise, and safe patient care
· Collaborated with Duke clinical engineering, PACS, Epic Radiant, and IT teams to architect the enterprise imaging informatics application integration and data mapping
· Architected and delivered scalable data supply chain with intra- and inter-hospital teams to support stakeholder-driven data quality measurement and improvement
· Achieved reliable and efficient image and patient data assimilation with clinical imaging devices, PACS, and Epic systems
· Analyzed raw patient image quality and safety datasets to derive meaningful insights for decision making and augmentation of multiple imaging modalities performance while maintaining a high degree of data integrity and scientific rigor
· Led the development of high-dimensional data visualization dashboard with SQL-NoSQL databases and web services for data communication with clinical collaborators, researchers, and stakeholders
· Managed the development of a key performance indicators (KPIs) dashboard for measuring and improving clinical, technical, and diagnostic performance over the enterprise imaging domain
· Completed and submitted monthly, quarterly, and yearly quality and safety reports to support executive decision making and compliance with federal and state regulations
· Quickly learned emerging data science and machine learning techniques and applied them to daily tasks to ensure consistent clinical imaging operation and continued improvement of value-based imaging practice
· Conducted research, gathered information from multiple data sources and presented results on national professional meetings, workshops, conferences and seminars
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