AI MedQ CRM

Making Hospital Marketing Smarter

In today’s healthcare landscape, hospital marketing is no longer just about visibility — it’s about empowering patients, promoting proactive health decisions, and improving care outcomes. And with the ever-increasing pressure on hospital margins, marketing must evolve from a cost center to a strategic revenue driver. Hospital marketing has a human element as it promotes medical self-empowerment, proactive health and wellness, and ultimately leads to improved care outcomes when deployed to the right target audiences That’s exactly the vision behind Tibra AI’s collaboration with MedQ — a powerful product by MIMSYS Technologies, seamlessly integrated with Workhubz,CRM a business relationship platform. Together, they’re building the foundation for the next generation of AI-powered hospital marketing.

The Power Behind MedQ

At its core, MedQ helps hospitals run targeted, data-driven campaigns by drawing insights directly from the hospital’s ERP, EHR, and lab systems via the MIMSYS platform. This allows marketing teams to:

Identify type 2 diabetes patients overdue for HbA1c tests.

Reach out to those with high BMI scores who could benefit from dietary counseling or bariatric care.

Re-engage discharged patients who missed follow-ups.

Where AI Comes In

Supercharging MedQ’s Capabilities

Predictive Patient Outreach

AI can analyze patterns in patient behavior and predict who’s likely to miss follow-ups or drop out of care.

Smart Campaign Suggestions

Rather than relying on manual filtering, AI can scan through EHR records to propose campaign ideas.

AI-Generated Content

Using Natural Language Processing (NLP), MedQ can auto-generate the first draft of SMS, email, or brochure content tailored to specific patient groups.

Vendor & Campaign ROI Analytics

AI can analyze patterns in patient behavior and predict who’s likely to miss follow-ups or drop out of care.

Conversational AI for Patient Queries

Whether it’s checking eligibility for a campaign or booking an appointment, AI virtual assistants offer seamless patient support.

Sentiment Analysis from Feedback

NLP can also be applied to patient reviews and survey responses, helping identify dissatisfaction trends or service gaps that need improvement.

Patient Churn Prediction

AI can highlight patients at risk of disengaging — based on inactivity, satisfaction scores, or missed follow-ups.

Real-Time Lead Scoring

AI can score corporate or insurance leads based on urgency, past interaction, or potential value — ensuring high-priority leads are never missed.

Dynamic Scheduling Assistance

AI can analyze doctor schedules and patient needs to suggest optimal appointment times, making campaign execution smoother and more patient-friendly.