IntegrationsArcGISSAS Healthcare
ArcGIS + SAS Healthcare

Connect ArcGIS and SAS Healthcare to Build Intelligent Automations

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ArcGIS

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SAS Healthcare

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Enable Integrations or automations with these events of ArcGIS and SAS Healthcare

Enable Integrations or automations with these events of ArcGIS and SAS Healthcare

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Frequently Asked Questions

How do I start an integration between ArcGIS and SAS Healthcare?

To start, connect both your ArcGIS and SAS Healthcare accounts to viaSocket. Once connected, you can set up a workflow where an event in ArcGIS triggers actions in SAS Healthcare (or vice versa).

Can we customize how data from ArcGIS is recorded in SAS Healthcare?

Absolutely. You can customize how ArcGIS data is recorded in SAS Healthcare. This includes choosing which data fields go into which fields of SAS Healthcare, setting up custom formats, and filtering out unwanted information.

How often does the data sync between ArcGIS and SAS Healthcare?

The data sync between ArcGIS and SAS Healthcare typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from ArcGIS to SAS Healthcare?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between ArcGIS and SAS Healthcare?

Yes, you can set conditional logic to control the flow of data between ArcGIS and SAS Healthcare. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

ArcGIS

About ArcGIS

ArcGIS is a comprehensive geographic information system (GIS) for working with maps and geographic information. It is used for creating, managing, sharing, and analyzing spatial data.

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SAS Healthcare

About SAS Healthcare

SAS Healthcare provides advanced analytics, AI, and machine learning solutions tailored for the healthcare industry. It helps organizations improve patient outcomes, optimize hospital operations, detect fraud, and ensure regulatory compliance through data-driven insights.

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