Detect Human Trafficking with Automation

Participating Organizations: Cerner, Red Hat, Smile CDR, Trisotech, Visible Systems Corporation

Combating human trafficking is a complex task often seen as insurmountable given the lack of awareness and shared understanding of what constitutes trafficking, often with victims hidden in plain sight. Worse, individual attitude and bias towards victims leads to inconsistent response by law enforcement and evaluation by healthcare workers. The impact of the overarching lack of awareness around human trafficking results in healthcare practitioners missing the signs of when a patient is being held captive. This results in the patients’ continued suffering of physical and mental abuse, exacerbating the fear that their current reality will go unnoticed. Often, in the case of human sex trafficking, the best domain for detection and escalation is within the Emergency Department (ED). The ED is a controlled environment, with a workforce accustomed to working under protocols, and workflow informed by the latest research and best practices. But challenges remain; lack of awareness, training, data access, and clear measurable objectives means detecting human sex trafficking in the ED often falls on an overly stressed clinical workforce whose attention may be diminished. Unfortunately, most clinical providers still don’t have access to usable tools to help them identify and safely help victims of human trafficking. Please join us as we demonstrate automated interoperable processes that ensure consistent, unbiased, and measurable quality outcomes. Follow the patient as they move through registration, triage, examination, and discharge. The structure of our software solutions works in concert to assist and direct the detection of human trafficking processes consistently in a high-volume, complex emergency department.