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CASE STUDY

Patient Partner

AI-enabled patient engagement and care coordination platform that drives adherence, personalized support, and real-time patient outreach.

Industry Healthcare / Patient Engagement / Digital Health

Solution AI-Driven Patient Engagement & Care Coordination

Engagement 6 Months

Services AI & Full Stack Development

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Client Context

PatientPartner is a United States-based health-tech platform focused on enhancing patient engagement, adherence, and care coordination across complex treatment journeys. The platform connects patients with mentors and personalized engagement workflows to support treatment starts, sustained adherence, and confidence in care decisions.

Leveraging real-time interaction, personalized matching, and compliance-ready communication, PatientPartner serves thousands of patients and hundreds of mentors while partnering with pharmaceutical, medical device, and healthcare organizations to improve outcomes, reduce friction, and raise program ROI.

AI Patient Engagement

Care Coordination & Support

Peer-To-Peer Mentorship

The Challenge

Build an AI-augmented patient engagement platform that predicts disengagement risk, automates routine care coordination tasks (such as reminders, messaging, and follow-ups), personalizes outreach logic to individual patients, and provides insights that help clinical teams intervene effectively while maintaining privacy and compliance.

Predicting patient disengagement

Personalized outreach logic

Care coordination automation

Compliance and privacy constraints

Our Solution

We developed an AI-driven engagement and coordination engine that ingests patient interactions, predicts risk of disengagement or non-adherence, and automates personalized outreach workflows. The solution integrated secure inference services, messaging channels, and care tools to provide scalable and compliant patient support.

Engagement Data Pipelines

Secure ingestion and normalization of patient interactions from web, mobile, and messaging channels.

Behavior & Risk Scoring Models

ML models that predict disengagement and adherence risk.

Personalized Outreach Logic

Real-time decision engine delivering tailored patient reminders and actions.

Care Coordination Tools

Integrated workflows and messaging APIs aligned with care team processes.

How We Delivered

Discovery & Alignment

Mapped patient journeys, engagement workflows, and coordination needs to define metrics and system architecture.

Architecture & Planning

Designed secure, scalable data ingestion and AI models aligned with compliance standards.

Engineering & Integration

Built engagement prediction models and integrated inference into coordination tools.

Testing & Validation

Evaluated model performance, personalization accuracy, and end-to-end coordination workflows.

Deployment & Support

Rolled out production features with monitoring, retraining loops, and ongoing tuning.

Outcomes Delivered

38% Increase in Patient Adherence

Predictive engagement models and personalized outreach significantly improved sustained treatment participation.

45% Reduction in Manual Coordination Tasks

Automated reminders, follow-ups, and workflow triggers lowered administrative burden on care teams.

3x Scalable Patient Outreach Capacity

AI-driven engagement engine supported expanded patient programs without proportional staffing increases.

99.9% Platform Reliability

Secure infrastructure ensured continuous real-time engagement and coordination workflows.