Quantitative metrics such as Median Response Latency (typical time (in seconds) required to respond to a prompt), Mean Utterance Length (average number of words produced per response) and Elaboration Rate (degree to which responses are expanded beyond minimal answers) are kept for every session and compared to previous sessions.

These metrics provide objective measures of processing speed, verbal productivity, and conversational efficiency.

This metrics framework allows Elvo reports to include:
Objective performance data
Standardized qualitative ratings
Functional real-world interpretation
Clinician observations
User-centered outcomes

Together these create a comprehensive clinical reporting model.

Neither Elvo, nor AI, will replace the audiologist, speech-language pathologist, or assistant but could innovate personal and client-centered care when carefully considered.

The efficacy of Elvo as a tool for use in any therapy has been substantiated with evidence. To date, Elvo-supported use has demonstrated clinically meaningful, diagnosis-appropriate outcomes across users with aphasia, Parkinson’s disease, mild cognitive impairment, and mixed cognitive-communication disorders.

Quantitative indicators—including response latency, conversational turn density, utterance regulation, and elaboration—show changes aligned with individualized therapeutic goals rather than uniform numerical directionality.
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Yes, your privacy and data security is of the utmost priority. We adhere to the strictest privacy policies available and utilize encryption to ensure your data remains confidential. Conversations are not recorded without consent, and even then they are never stored on the cloud. Elvo uses MFA to protect user access and provide maximum security. Please refer to our privacy policy at elvohealth.com/privacy for more details.