Siying Wang Email & Phone Number

Palo Alto, California, Us

Palo Alto, California, Us

Develop and manage the Self-Service Analytics (Power User) Program to democratize data and amplify the impact of healthcare analytics innovation. The program empowers users across the enterprise to service their own data needs, at the level of their own technical capability, in a user-friendly data ecosystem which emphasizes data reliability, accessibility, usability, and security. SQL, Qlik, Python, and Tableau to compile and visualize data.Key Projects:Tableau Enterprise Deployment: Create roadmap and work plans, manage tasks, dependencies, and user/team expectations regarding scope and timeline of the deployment. Define service framework, user roles, responsibilities and processes for access, training, and operations activitiesProcess Automation: automate solution delivery process and on-going maintenance tasks (e.g. Tableau migration process, folder creation, bulk subscription, EDW SAM migration, etc.) by API and Python to scale up our support capability. Develop proof of concept projects to validate new processes and data solutions.Strategic Planning: Provide analytic architectural assessments, strategies, and roadmaps to manager and director to identify improvement opportunities and new priorities.Data Governance: Create enterprise data catalog and analytics dashboard catalog, lead the adoption of strong enterprise data governance methodologies that direct the overall integrity, parameters of use, and business ownership of data.Data Education: build the central analytics knowledge repository to host guides, tutorials and answers to common questions about data analytics products or services. Define the knowledge management strategy, team structure and process to continuously improve data literacy and analytical thinking across the organization.

Philadelphia, Pa, Us

Formulate, project manage, and execute data analysis projects for clinicians in the NICU Department in order to inform clinical interventions and drive organization-wide goals of enhancing efficiency, improving patient care and safety, and reducing unnecessary care. Formulate optimal metrics to use in tracking outcomes and parsing data in meaningful ways, tailored to end user needs and goals. Mentor other Analysts during onboarding and coach 1 Analyst on an ongoing basis. Use SQL, REDCap, R, and Qlikview to compile and visualize data.Key projects:Surgery Handoff Accuracy & Efficiency: Architected central digital database for medical teams, anesthesiologists, and surgical teams to compile and review data and trends, reducing errors. Advised other hospitals on learnings and best practices. Medical team presented posteron database and project at Children’s Hospital Neonatal Consortium (CHNC) Annual Conference 2018.Increasing Efficiency of Vaccination and Medication Administration: Implemented improvement interventions in immunization record review, vaccine eligibility determination, and in-time vaccine administration; monitored potential related adverse events in NICU. Reduced missed vaccines from 24% to 1%. Shortened time from medication ordered to administration by 50% (down from 38 hours to 19 hours).Cutting Waste & Spending: Tracked and analyzed data on Proparacaine usage, storage, and return, identifying waste and opportunity for reuse. Slashed spending on Proparacaine by 62% or $1,000 per month.Reducing Inappropriate Antibiotic Use: Led large project to study and reduce inappropriate antibiotic use for patients at risk for early onset sepsis with the participation of 10 out of 13 of CHOP NICU network sites. Reduced inappropriate antibiotic use from 19% to 2%.Natural Language Processing (NLP): Used NLP techniques to screen X-ray radiology reports and extract key bone-related information, saving manpower and improving access to information.

Philadelphia, Pa, Us

Utilize data analytics tools to deliver strategic solutions to regional medical centers, hospitals and outpatient centers to enhance their performance, including:• Increase Marketing Effectiveness – Identified optimal locations for ad display within the clinical institutions by analyzing patterns of patient path using sequence mining.• Reduce New Appointment Lag Time – Shortened the wait time for new routine appointments from 42 days to 14 days by designing algorithm to analyze patient scheduling preference and developing a solution to expand appointment capacity with minimum incremental cost.• Reduce Patient Wait Time – Cut down patient wait time by 17 % in the clinic of Department of Family Medicine by collecting on-site data from doctors and nurses, simulating the model of patient flow, conducting scenario analysis and optimizing uneven resource and work procedures.• Improve Patient Visit Experience – Prevented traffic jam around four hospitals in close proximity by visualizing daily patient volume and giving early warnings to COOs to take preventive measures.• Increase Physician Utilization – Raised physician utilization rate by 8% and reduced clinic over-time by 11% by predicting patient no-show rate with 85% accuracy using logistic regression and developing an over-booking strategy to optimize appointment scheduling.• Management Reporting – Produced interactive dashboards by service lines to support the decision-making of 70+ chief administrators based on large volume of data retrieved from multiple internal systems.• Project Management – Supported VP and senior manager to implement Tableau Server across the organization including writing proposal, documenting key processes, designing pilot dashboards, and providing IT support to internal groups.

• Created standard operating procedure for two public traded companies and improved their management system • Generated risk matrix and cut down managerial risk for one large electronics manufacturing company

Master'S Degree, Systems Engineering

Bachelor'S Degree, Applied Mathematics