Connect X (Twitter) and SAS Healthcare to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for X (Twitter)
Choose an Action
Automatically do this!
- Request a new Action for SAS Healthcare
Enable Integrations or automations with these events of X (Twitter) and SAS Healthcare
Enable Integrations or automations with these events of X (Twitter) and SAS Healthcare
Actions
Post a Tweet
Creates a Tweet on behalf of user.
Reply to Tweet
Reply to an existing tweet.
Upload Media to Twitter
Upload the media to twitter and get the media ID, which can be used in crating tweet.
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Frequently Asked Questions
To start, connect both your X (Twitter) and SAS Healthcare accounts to viaSocket. Once connected, you can set up a workflow where an event in X (Twitter) triggers actions in SAS Healthcare (or vice versa).
Absolutely. You can customize how X (Twitter) 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.
The data sync between X (Twitter) and SAS Healthcare typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between X (Twitter) 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.
About X (Twitter)
Twitter is a social media platform that allows users to post and interact with messages known as 'tweets'. It is widely used for sharing news, updates, and engaging in conversations.
Learn MoreAbout 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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