This App Helps Spot Tell-Tale Signs Of Child and Infant Abuse
Rahul Kalvapalle — April 5, 2023 — Life-Stages
References: luriechildrens.org & news-medical.net
The Ann & Robert H. Lurie Children's Hospital of Chicago has launched a child abuse plausibility assessment app that aims to monitor some of the tell-tale signs of abuse of babies and young children in order to spot potential red flags.
Built by Slingshot, the 'Lurie Children's Child Injury Plausibility Assessment Support Tool' app, or 'LCAST' for short, focuses on specific characteristics of bruising that can be indicative of abuse. The app makes use of a rotating 3D model of a child, with users able to click on different parts of the model to depict where bruises are seen. A questionnaire is then delivered to offer more details about the injuries, with the user then receiving a result that is powered by algorithms directly influenced by published research.
Although the 'LCAST' abuse assessment app cannot make a definitive diagnosis, it aims to spot tell-tale characteristics of bruises that are likely to be caused by child abuse so that medical and social professionals can consider other interventions or more close monitoring.
Image Credit: Slingshot
Built by Slingshot, the 'Lurie Children's Child Injury Plausibility Assessment Support Tool' app, or 'LCAST' for short, focuses on specific characteristics of bruising that can be indicative of abuse. The app makes use of a rotating 3D model of a child, with users able to click on different parts of the model to depict where bruises are seen. A questionnaire is then delivered to offer more details about the injuries, with the user then receiving a result that is powered by algorithms directly influenced by published research.
Although the 'LCAST' abuse assessment app cannot make a definitive diagnosis, it aims to spot tell-tale characteristics of bruises that are likely to be caused by child abuse so that medical and social professionals can consider other interventions or more close monitoring.
Image Credit: Slingshot
Trend Themes
1. Child Abuse Detection - The use of algorithms and 3D models to detect tell-tale signs of child abuse present an opportunity for disruptive innovation in more accurate and timely diagnoses.
2. Medical Assessment Apps - The development of plausibility assessment apps in the medical field can disrupt traditional diagnosis methods and provide a faster and more objective way of diagnosing certain conditions.
3. AI-powered Medical Tools - The use of artificial intelligence algorithms in medical tools could revolutionize the medical industry by providing more accurate and faster diagnosis.
Industry Implications
1. Healthcare - The healthcare industry, particularly pediatric care, can utilize the LCAST app as a tool to help diagnose potential cases of child abuse and improve patient care.
2. Social Services - Social service agencies can use abuse assessment apps like LCAST to help identify potential cases of abuse and intervene in a timely manner.
3. Software Development - The development of abuse assessment apps presents a business opportunity in software development.
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