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Clinicians often fail to identify or misdiagnose child abuse due to limited access to specialized research data and training. Existing knowledge gaps in recognizing high-risk signs lead to delayed interventions, while the lack of intuitive, mobile-accessible tools hinders timely documentation and analysis of abuse-related injuries.
Pediatric hospital specializing in child abuse prevention and clinical research, seeking to empower healthcare professionals with data-driven diagnostic tools.
The application is projected to reduce misdiagnosis rates by providing immediate access to specialized abuse recognition protocols, potentially saving lives through earlier interventions. By standardizing diagnostic approaches and eliminating knowledge gaps, the tool aims to become a critical resource for healthcare institutions worldwide while maintaining strict regulatory compliance.