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Discrete Choice Modeling
Message Optimization

Healthcare Marketing Message Optimization

How a healthcare organization optimized their patient communication strategy using Discrete Choice Modeling, achieving a 45% increase in patient engagement and 32% improvement in treatment adherence while reducing communication costs by 18%.

Project Details

Duration: 18 weeks
Market: Multi-regional US
Sample: 2,100 patients
Messages: 24 variations tested

Key Results

45%
Patient Engagement Increase
32%
Treatment Adherence Boost
18%
Cost Reduction

The Challenge

A large healthcare organization was struggling with low patient engagement and poor treatment adherence, leading to suboptimal health outcomes and increased costs across their patient population.

  • Low patient engagement with health communications
  • Poor medication and treatment adherence rates
  • Generic messaging not resonating with diverse patients
  • Rising communication costs with limited effectiveness

Pre-Optimization Metrics

Patient Engagement Rate23%
Treatment Adherence58%
Message Response Rate8.4%
Patient Satisfaction6.7/10

Discrete Choice Modeling Approach

Message Optimization Research

We applied Discrete Choice Modeling to understand patient preferences for different communication approaches, channels, timing, and messaging styles to optimize engagement and adherence.

Message Content Analysis

Tested 24 message variations across tone, urgency, and format

Channel Preference Mapping

Analyzed preferences across SMS, email, phone, and portal

Timing Optimization

Determined optimal frequency and timing for communications

Patient Segmentation

Identified communication preferences by demographics and conditions

Optimal Message Framework

Empathetic & Personal

Messages acknowledging individual patient journey and challenges

Action-Oriented

Clear, specific next steps with deadline urgency

Benefit-Focused

Emphasis on positive health outcomes and quality of life

Multi-Channel Coordinated

Consistent messaging across patient's preferred channels

Communication Strategy Implementation

Personalized Messaging System

  • Developed patient preference profiles in CRM
  • Created automated message customization engine
  • Implemented dynamic channel selection algorithm
  • Integrated with electronic health records

Campaign Optimization Process

  • A/B tested optimal message combinations
  • Implemented real-time engagement tracking
  • Created feedback loop for message refinement
  • Trained care teams on new communication protocols

12-Month Health Outcomes

Performance Improvements

Patient Engagement Rate68% ↑
Treatment Adherence90% ↑
Message Response Rate24.3% ↑
Patient Satisfaction8.9/10 ↑

Client Testimonial

"The message optimization transformed our patient relationships. We're no longer sending generic communications - each patient receives personalized messages that resonate with their specific needs and preferences. The improvement in adherence has been remarkable."
DM
Dr. Maria Santos
Chief Medical Officer

Health Impact Metrics

Hospital Readmissions

22% ↓

Emergency Visits

28% ↓

Preventive Care Completion

41% ↑

Patient Health Scores

18% ↑

Ready to Optimize Your Patient Communications?

Discover how Discrete Choice Modeling can help you create personalized, effective health communications that improve patient engagement and outcomes.