INRY VCare for Healthcare app leverages AI-driven insights to streamline healthcare workflows, enabling faster and more accurate decision-making. By automating patient data analysis in chronological order, it empowers healthcare providers to deliver personalized, efficient care.
1. Intelligent Patient Data Aggregation with AI
The AI automatically pulls data from various patient tables—such as conditions, medications, allergies, procedures —into a unified summary. This feature ensures no critical data is overlooked and provides a complete view of the patient's health.
2. AI-Generated Patient Medical Summary
Once all the relevant data is gathered, the AI creates a comprehensive medical summary that highlights key conditions, treatment history, and other important health information. This summary is structured for easy review by physicians, making the decision-making process more efficient.
3. Cross-Table Data Analysis and Linkage
AI cross-references data from various medical tables to uncover relationships between conditions, medications, and treatments. This cross-linking helps identify the root causes of health issues and ensures that all factors contributing to a patient's condition are considered.
4. Real-Time Data Synchronization
As new data is entered into the System, the AI dynamically updates the patient summary to reflect the most current information. This ensures that physicians always have access to the latest patient details, without needing to manually cross-check multiple tables.
1. Intelligent Patient Data Aggregation with AI
The AI automatically pulls data from various patient tables—such as conditions, medications, allergies, procedures —into a unified summary. This feature ensures no critical data is overlooked and provides a complete view of the patient's health.
2. AI-Generated Patient Medical Summary
Once all the relevant data is gathered, the AI creates a comprehensive medical summary that highlights key conditions, treatment history, and other important health information. This summary is structured for easy review by physicians, making the decision-making process more efficient.
3. Cross-Table Data Analysis and Linkage
AI cross-references data from various medical tables to uncover relationships between conditions, medications, and treatments. This cross-linking helps identify the root causes of health issues and ensures that all factors contributing to a patient's condition are considered.
4. Real-Time Data Synchronization
As new data is entered into the System, the AI dynamically updates the patient summary to reflect the most current information. This ensures that physicians always have access to the latest patient details, without needing to manually cross-check multiple tables.
- Xanadu Version
- Healthcare and Life Sciences Service Management Core
- Now Assist for Creator