In the current climate, public healthcare organizations have to focus on funding as well as clinical. These dashboards answer questions from elected representatives to support funding requirements.
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Community Speaker
Reserved Seating
Video On Demand
Clinical and Demographic Analysis by Electoral District
, Principal BI Developer, NYC Health+Hospitals
Role: Finance and Accounting
Industry: Healthcare and Life Sciences
Product: Tableau
Tableau Product: Developer Platform, Tableau Desktop
Session Level: Advanced
Session Type: Theater
- Tuesday, May 53:30 PM - 3:50 PM PDT(10:30 PM - 10:50 PM GMT)Theater 3 | Data Village, Ground LevelFIRST COME FIRST SEATED
- Thursday, May 79:10 AM - 9:30 AM PDT(4:10 PM - 4:30 PM GMT)Theater 2 | Data Village, Ground LevelFIRST COME FIRST SEATED
Session Summary: This session detailed the development and implementation of a highly flexible Tableau-based system for analyzing healthcare data by electoral district, addressing the challenge of mismatched zip codes and electoral boundaries. The innovative solution leverages GeoJSON files for map visualization and integrates with Epic geocoding data to securely assign patients to districts with precision, enabling more accurate and actionable insights. The system’s dashboard incorporates dynamic visualization controls, allowing users to filter data by various criteria such as patient demographics, medical specialties, and timeframes, while also providing options for displaying data as percentages or absolute values. This approach not only enhances data accuracy and usability, but also prepares the system for future redistricting by establishing repeatable processes for updating district mappings as needed.
Key Takeaways:
• The system uses Tableau to seamlessly integrate GeoJSON maps and Epic geocoding data, enabling precise mapping of patients to electoral districts.
• Users benefit from a highly customizable dashboard that supports multi-level filtering and dynamic visualizations, offering tailored insights for diverse use cases.
• The solution is designed to adapt to changes like redistricting by employing a structured process for updating geographical data and recalculating district assignments.
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