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Dialogic developed the D3 Neighbourhood Scan for D3. The neighbourhood scan is designed for employees of regional support structures (ROS). It serves as the starting point for a quantitative exploration of an area in the field of care. The scan collects public data on population composition, health situation, care demand, care supply, and much more. The neighbourhood scan includes data visualisations, allows for self-conducted analyses and creation of custom dashboards, and provides access to underlying data for further analysis.
Dialogic developed the neighbourhood scan in close collaboration with D3. Some unique features of the D3 Neighbourhood Scan include:
- Structured database with (at the time of writing) over 82 million data points, covering about 1800 variables in various disaggregations (regions at different levels, periods, population groups, etc.).
- Automatic importing of various data sources to keep the database up to date.
- Interactive platform for flexible analysis and sharing.
- Extensive exporting options, such as PDF, PNG, CSV, and embedding on websites.
- Access to underlying data directly in Excel and Power BI via an OData feed.
- Over 100 users.
- Comprehensive training and education (in collaboration with D3). Direct support from Dialogic to end users.
The animation below shows how users can easily create their own 'factsheet' by cutting and pasting graphs. There are various options for adjusting the graph and the underlying data/selection. Additionally, the factsheet is automatically updated over time as new data becomes available. The factsheets can be tailored to match the branding of various ROS, and users have the ability to customise the layout according to their preferences.
Dialogic has laid the groundwork for factsheets right up to advanced neighbourhood-level reports.
