Lowering Liability & Increasing Customer Satisfaction

Visitor Management Systems (VMS) play a crucial role in maintaining security and privacy to your visitors PII and PHI information, in healthcare facilities. However, the critical function of name matching within VMS often faces significant challenges, particularly when dealing with watchlists, do-not-disturb lists, or protected health information (PHI). Generative A.I. to could be the answer to this problem.

Real-World Example: Protecting Patient Privacy

Imagine a scenario where a patient restricts a specific visitor. If the visitor uses a preferred name different from their official ID, a traditional VMS might fail to identify the restriction. Athena’s generative AI-powered name matching, however, can successfully match the names, upholding the patient’s wishes and protecting their privacy.

The Problem: Human Error in Name Input

Visitors and patients frequently make mistakes when entering data, leading to inconsistencies that make accurate matching difficult. These errors can include:

• Spelling errors: Typos and misspellings are common, especially under pressure.
• Missing components: Individuals may omit middle names or use initials.
• Out-of-order names: Cultural differences or personal preference can lead to reversed name order (e.g., last name first).
• Aliases, nicknames, preferred names: People may use names different from their official identification.

These errors make it difficult for traditional VMS to accurately match names against databases, potentially compromising security or patient privacy.

Athena’s Solution: Generative AI for Advanced Name Matching

Athena tackles this challenge head-on by harnessing the power of generative AI, a subset of artificial intelligence that focuses on creating new content or patterns based on existing data. In this case, Athena’s AI model has been trained on vast amounts of name data, learning the common variations, cultural nuances, and potential errors associated with names.

This allows Athena to:

• Predict and correct errors: Identify and rectify misspellings, missing components, or alternative name formats based on learned patterns.
• Understand cultural context: Recognize name order variations and different language scripts to accurately match names from diverse backgrounds.
• Associate aliases and nicknames: Connect names with their various forms to ensure accurate identification,even when individuals use different names.

Enhanced Security and Peace of Mind

Athena’s innovative approach to name matching addresses a critical vulnerability in VMS, ensuring accurate identification and enhanced security for all. By leveraging cutting-edge generative AI technology, Athena is once again proving its commitment to helping customers stay safe in an increasingly complex world. Click here for more information on Athena Security Visitor Management System