MySAIVA

MySAIVA

Optimize Patient Care

4 ratings
1 review
Free

Details

  • Released
  • Updated
  • June 9, 2022
  • April 30, 2026

Features

MySAIVA screenshot #1 for iPhone
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About

This application uses AI to analyze patient EHR data, identifying subtle clinical indicators and predicting risks of decline or hospitalization. It provides healthcare teams with alerts and consolidated patient profiles to ensure timely awareness and intervention for at-risk individuals.

AI-driven EHR analysis
Predicts patient decline
Identifies at-risk patients
Consolidated patient profiles
Highlights keywords from notes
Notifications for risk changes
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What's New in MySAIVA

3.2.3

April 30, 2026

Bug fixes and performance improvements.

User reviews

Review

Fantastic app!

Developer apps

FAQ

What is MySAIVA used for?

MySAIVA uses AI to analyze patient EHR data, identifying subtle clinical indicators and predicting risks of decline or hospitalization. It helps healthcare teams stay aware of patients who are at greatest risk.

Who can use the MySAIVA app?

To use the MySAIVA mobile app, you must be an active SAIVA customer. It is designed for healthcare professionals and teams.

Does MySAIVA have ads?

No, MySAIVA does not contain advertisements. The app is free to download and use for active SAIVA customers.

What devices does MySAIVA support?

MySAIVA is available on iPhone and iPad devices. It is designed for iOS users.

How often is MySAIVA updated?

The latest version of MySAIVA is 3.2.3, last updated on April 30, 2026. Updates are provided to enhance features and ensure reliability.

What is the age rating for MySAIVA?

MySAIVA has an age rating of 17+, indicating it is intended for adult users in a professional healthcare context.

How can I get help or provide feedback for MySAIVA?

If you have feedback or need assistance with MySAIVA, you can select 'Contact Support' directly within the app.

What kind of insights does MySAIVA provide?

MySAIVA provides meaningful insights, including notes with highlighted keywords that are excerpts directly from nurse notes entered into the EHR.