Telemedicall is a digital health platform that enables medical collaborative decisions and virtual multidisciplinary team (MDT) consultations through secure audio/video calls with integrated patient context sharing. The platform allows caregivers to start calls with a doctor, invite specialists in real-time, and document decisions without switching tools, while also offering AI-powered analysis of facial joints, muscles, skin lesions, and temperature for enhanced clinical assessment.
Funding
Funding not disclosed
Founders
Product
Problem
Coordinating care among multiple caregivers and specialists typically requires fragmented communication across separate tools, leading to delays in clinical decisions and increased risk of miscommunication. Complex cases often need multidisciplinary team (MDT) input, but such collaboration is usually confined to elite hospitals and is inaccessible for everyday clinical practice or remote care settings.
Solution
Telemedicall provides a secure telehealth and telecollaboration platform that brings virtual MDTs into routine care. Caregivers can start audio/video calls with a doctorestrategically invite specialists, and share patient context during the call so all participants view the same clinical information. The platform supports discussing, deciding, and documenting in one unified workspace, eliminating the need to switch between applications. Additionally, Telemedicall integrates AI-driven visual analysis tools for facial joint motion, face muscle tracking, skin lesion detection, and skin temperature/color analysis, enabling richer remote assessments and more confident care decisions.
Target Audience
Primary users are healthcare providers including physicians, caregivers, clinics, and hospitals, as well as healthcare organizations seeking to expand services beyond physical borders and implement virtual multidisciplinary team workflows.
Features
- Secure audio/video calling with the ability to invite additional specialists mid-call for multidisciplinary collaboration
- Shared patient-context view during calls, ensuring all participants see identical clinical data in real time
- In-call documentation tools that allow discuss, decide, and record actions without leaving the platform
- AI-powered visual analysis capabilities including facial joint motion tracking, face muscle tracking, early skin lesion detection, and skin color/heat analysis
- Cloud and edge deployment options for flexible infrastructure, alongside data sharing and integration capabilities compatible with healthcare environments
- Built to comply with HIPAA and GDPR standards for data security and patient privacy