From Data to Action: Responsible Analytics for Tackling Human Trafficking in the Health Care Sector

 

Author: Dimas, Geri; Maass, Kayse; Konrad, Renata; Trapp, Andrew & Stoklosa, Hanni

Abstract: Leveraging academic literature and insights from an interdisciplinary team of HT researchers, this study critically examines analytical approaches to address human trafficking (HT) within the health care sector. It synthesizes limitations and barriers, identifies opportunities, and proposes considerations for responsible analytics. Findings categorize limitations and barriers into two themes: extrinsic and intrinsic factors. Extrinsic factors include challenges specific to health care, arising from the nature of HT. Intrinsic factors highlight systemic issues, such as data gaps, biases, and resource limitations. Responsible analytics must be survivor-informed and practitioner-informed, include broader demographic research, and ensure transparent communication of findings. While the opportunities for analytical approaches to address HT in health care hold promise, application must be approached responsibly. Forensic nurses are uniquely positioned to assist with efforts to intervene, prevent, and care for HT survivors. By illuminating limitations, barriers, and opportunities, health care professionals will be better equipped to support and advocate for its responsible use.

Keywords: analytics, ethics, human trafficking