Joint Logic – AI-Powered WhatsApp Support for Joint Surgery Recovery
- Industry
Healthcare / Digital Health
- Services
AI Chatbot Development, Workflow Automation, UX Strategy, WhatsApp API Integration, LLM Integration
- Tech Stack
WhatsApp (Twilio), Python, Custom DB, LLM (OpenAI), Cloud Video Hosting
- Cloud
Twilio API, Custom Backend, Cloud- based Video Delivery
- Outcome
An AI-driven WhatsApp recovery assistant that supports patients in their pre- and post- surgery journey through daily check-ins, recovery videos, and smart assessments boosting patient engagement and recovery outcomes.
- Project Length
2 Months
- Team Size
4
Meet Our Customer
Joint Logic is a healthcare-focused platform designed to guide patients through their joint surgery recovery journey. It addresses the common issues of inconsistent post-surgery follow-ups, lack of motivation, and limited access to physiotherapy by offering AI-driven support directly through WhatsApp.
Challenge
Patients undergoing joint surgery often face:
- No structured recovery guidance after surgery
- Limited follow-ups and symptom tracking by healthcare providers
- Inaccessibility to tailored therapy resources
- No daily motivation, reminders, or pain/mood tracking
- Manual or skipped pre-surgery risk assessments (e.g., BMI, heart health)
Vision
The client envisioned a digital recovery assistant that could:
- Provide personalized post-surgery support through an accessible interface (WhatsApp)
- Handle natural language queries about pain or recovery
- Deliver engaging content like videos, check-ins, and motivational nudges
- Perform pre-surgery assessments to reduce complications
- Manual or skipped pre-surgery risk assessments (e.g., BMI, heart health)
- Collect structured progress data using validated medical surveys
Implication
To meet this vision, the system had to:
- Work on WhatsApp for easy patient accesb
- Offer structured day-wise recovery flows and reminders
- Understand and respond to natural symptom queries
- Deliver video exercises instantly upon request
- Track longitudinal data with surveys like the Oxford Hip/Knee Score
- Flag at-risk patients pre-surgery through guided screening
Solution
We built a powerful AI-powered WhatsApp chatbot with the following capabilities:
- WhatsApp Onboarding: Seamless sign-up via WhatsApp using Twili
- Daily Recovery Flow: Exercise videos, reminders, and contextual tips based on surgery type and recovery stag3⁄4
- Smart Symptom Queries: Natural language handling with empathetic responses and recommendations (e.g., “I’m in pain after football”
- Video-on-Demand: On-request rehab content delivery for knee, hip, and other areab
- Oxford Surveys: Automated and scheduled assessments stored for progress trackinO
- Pre-Surgery Assessment Flow: Risk evaluation covering BMI, heart health, and diabetes with early warnings
Key Challenge
The lack of consistent and structured recovery support was addressed by designing an automated WhatsApp flow that ensured personalized daily interaction, reducing the need for manual follow-ups and improving patient accountability.
Process
- Research:
- Mapped patient recovery pain points and provider limitations.
- Design:
- Structured survey and check-in logic, mapped patient journey stages.
- Development:
- Built in Python with custom DB logic, integrated Twilio API and LLM for smart replies.
- Video Integration:
- Hosted videos delivered via WhatsApp on demand.
- QA & Testing:
- QA cycles focused on flow accuracy, timing of messages, and empathetic UX.
- Deployment:
- Deployed to pilot clinics with scheduled patient onboarding.
Benefits and Next Steps
Partnering with our team enabled Joint Logic to digitize and automate post-surgery support, improving recovery outcomes while reducing the burden on healthcare staff.
- Key Benefits:
- 80%+ daily interaction with WhatsApp recovery assistant
- Fewer clinic visits through smart symptom triaging
- Doctors monitor progress through automated Oxford Score reports
- 100% automation no manual follow-up needed
- Risk alerts before surgery improve patient outcomes
- Upcoming Enhancements:
- Live Doctor Escalation Layer: Route high-risk symptoms to physicians in real- time
- Voice Interaction Support: Help elderly patients who may struggle with typing
- AI Model Fine-Tuning: Smarter, more personalized LLM responses
Results
The system is now actively used by post-surgery patients and providers to ensure smooth recovery. It combines structured care, AI understanding, and seamless communication into one powerful tool delivered through the world s most accessible chat platform: WhatsApp.
About Inovaqo
Inovaqo is a global technology partner delivering innovative software solutions across AI, Cloud, and Full-Stack Engineering. Founded in 2020, we specialize in building scalable, data-driven platforms and digital products for startups, SMEs, and enterprise clients across industries such as Fintech, Healthtech, Transportation, and Logistics.
With a strong foundation in AI/ML, cloud-native development, and UI/UX excellence, Inovaqo empowers clients through intelligent automation, extensible cloud infrastructure, and seamless user experiences. Our dedicated engineering division, Inovaqo Technologies, focuses on delivering end-to-end product development with agility and technical depth.
Our partnerships with leading tech providers and early collaborations—such as with Aqua Security for CSPM and DevSecOps—have enabled us to evolve rapidly into a trusted engineering partner. From data engineering and platform modernization to web/mobile apps and DevOps, our services are built for long-term scalability and performance. With our headquarters in Miami and a globally distributed team, Inovaqo serves clients across the U.S., Gulf region, and beyond, combining localized strategy with global execution.
We specialize in the following areas:
- Data & AI
- Cloud Engineeriny
- Custom Software Developmeno
- Web & Mobile Applicationv
- DevOps & Platform Infrastructur
- Product Design (UI/UXZ)
- Application Modernizatiok
- Dedicated Team Augmentation