What was the impact of the AI solution?

Doubled success rate of appointment completions compared to traditional clinician calls, improving patient outcomes. Enhanced patient engagement and trust, with patients more willing to share critical health information. Enabled new care models with frequent remote patient check-ins not possible with human staffing. Optimized healthcare workflows for efficiency and effectiveness in chronic disease management.

Source

GCPEvidence: Low40/100

MyndYou AI Virtual Care Assistant Improves Patient Outcomes with Vertex AI and Gemini

Use case typePatient engagementUpdated Jun 13, 2026

MyndYou developed 'Eleanor', an AI-powered virtual care assistant to address patient care staffing shortages and improve chronic disease management with automated patient outreach. Eleanor conducts clinical phone conversations, analyzing patient speech for clinical events and optimizing call timing using BigQuery analytics. MyndYou uses Vertex AI and Gemini, fine-tuning Gemini models for clinical accuracy and ensuring HIPAA compliance. The solution includes Speech-to-Text and Text-to-Speech APIs and uses Google Cloud Run and PaLM LLM for call data analysis and summarization. This implementation doubled successful screening appointment completions, improved patient engagement and trust, enabled regular check-ins for high-risk patients, and optimized healthcare provider workflows.

Organization: MyndYou
Industry: Healthcare
Location: United States

Reported outcomes

Strategic outcomes

New business modelEnabled new remote care modelCustomer experience & trustImproved patient engagement and trustNew product / capabilityCreated AI virtual care assistantRisk & complianceMaintained HIPAA-compliant patient data handling

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: MyndYou
Provider: GCP
Maturity: Unknown
Linked source: Google Cloud Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

1Conversational AI for clinical patient engagement
2AI model fine-tuning
3Speech-to-text and text-to-speech integration

US healthcare faces a critical shortage of nurses and staff for managing chronic disease patients, impacting care quality and reach.

MyndYou created an AI virtual assistant that conducts real-time clinical conversations, identifies urgent clinical events, and interacts naturally with patients.
They fine-tune Gemini models with proprietary data to increase accuracy of clinical event detection and utilize PaLM large language model for call analysis and improvement.
Google Cloud BigQuery is used to analyze data and optimize calling schedules based on patient demographics and other factors.
HIPAA compliance is maintained to secure sensitive patient data while continuously improving the assistant's performance.
Integrated use of Google Cloud Run, Speech-to-Text, and Text-to-Speech enables scalable, real-time processing.

Technologies

Vertex AI Gemini BigQuery Cloud Run PaLM Speech-to-Text API Text-to-Speech API

Doubled success rate of appointment completions compared to traditional clinician calls, improving patient outcomes.
Enhanced patient engagement and trust, with patients more willing to share critical health information.
Enabled new care models with frequent remote patient check-ins not possible with human staffing.
Optimized healthcare workflows for efficiency and effectiveness in chronic disease management.

Architecture

Architecture involves Gemini fine-tuned models for clinical conversation understanding, PaLM LLM for call data summarization, Google Cloud BigQuery for call timing analytics, Speech-to-Text and Text-to-Speech for interaction, and Cloud Run for scalable infrastructure.

Sources & evidence1

Evidence: Low40/100Evidence strength