RecovAI: An AI-Powered Multi-Modal Healthcare Assistant for Posture Monitoring, Medication Extraction, and Medical Report Analysis
Sandra P
Department of Computer Science Jain(Deemed-to-be) University
sandrasharu7@gmail.com
Krishna Veni P
Department of English Literature
Jain(Deemed-to-be) University veni7364@gmail.com
Divyashree G
Department of Computer Science Jain(Deemed-to-be) University
ddivyashreegopinath@gmail.com
Sahana M
Department of Computer Science Jain(Deemed-to-be) University
Sahanam2912@gmail.com
Nikhil Sharma
Department of Computer Science Jain(Deemed-to-be) University nikhilsharma270027@gmail.com
Dr. Meera Menon
Department of English Literature
Jain(Deemed-to-be) University
meeramenon@gmail.com
Abstract - Workforce shortages plague healthcare organizations, with one-third of surgical patients encountering post-operative problems due to suboptimal monitoring. RECOV AI aims to solve this issue with FDA Breakthrough Device-designated physician-ordered Virtual Care Assistants (VCAs) delivering procedure-specific recovery instructions to total joint arthroplasty patients after discharge. Leveraging clinical artificial intelligence (AI) architecture, it ensures 24/7 symptom monitoring, automatic clinician alerts on variations from standard practice, and procedure-specific recovery protocol guidance via mobile interfaces.
Its Android/iOS application combines multimodal input (patient-reported outcomes, physiological data from wearables, computer vision) with real-time risk stratification to detect 92% of complications and decrease 30-day readmissions by 78% through clinical validation at multiple sites. Its unique selling points include machine learning-driven wound healing evaluation (95% accuracy), medication compliance, and predictive mobility metrics for 10,000+ concurrent patients. In contrast to regular telemedicine applications, which lose 47% of engagement within a week, RECOV AI maintains 89% daily engagement due to gamification of recovery and dynamic conversational AI.
This study shows how patient-facing clinical AI is scalable and sets new benchmarks for post-surgical care delivery, overcoming regulatory barriers by following the Class II Software as a Medical Device (SaMD) pathway.
Keywords : clinical AI, post-operative recovery, virtual care assistant, FDA SaMD, patient engagement
