Jie D. serves as a Policy Associate in Health Data Science at Acumen, LLC, where they leverage their expertise in data analysis and natural language processing to drive impactful policy decisions in the federal healthcare landscape. With a strong foundation in Python and JavaScript, Jie...
Jie D. serves as a Policy Associate in Health Data Science at Acumen, LLC, where they leverage their expertise in data analysis and natural language processing to drive impactful policy decisions in the federal healthcare landscape. With a strong foundation in Python and JavaScript, Jie specializes in advanced text analysis techniques, utilizing tools such as LDA Topic Modeling and K-means clustering to extract meaningful insights from complex datasets. Their proficiency in machine learning algorithms, including Support Vector Machines (SVMs), allows Jie to develop predictive models that inform Medicare payment policies and enhance healthcare delivery systems.
Currently, Jie is deeply involved in several key projects funded by the Center for Medicare and Medicaid Services (CMS). One notable initiative is the Payment Standardization Calculation and Application project, where Jie applies their analytical skills to standardize payment methodologies across various healthcare providers. Additionally, Jie contributes to the Physician Cost Measures and Patient Relationship Codes project, which aims to refine cost measurement strategies and improve transparency in physician billing practices. Their work on the Quality Reporting Program (QRP) Support for Post-Acute Care further exemplifies their commitment to enhancing quality metrics and ensuring compliance within the healthcare sector.
Jie's diverse skill set extends beyond data science; they are adept in business analysis, strategic planning, and financial risk management, making them a well-rounded asset to the Acumen team. By creating interactive web-based visualizations using D3.js and pyLDAvis, Jie effectively communicates complex data findings to stakeholders, fostering informed decision-making in healthcare policy. Their contributions not only advance Acumen's mission but also play a crucial role in shaping the future of Medicare payment policy and health data science.
