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The Most Optimal Methods for Acknowledgement of Medical Biases Toward LGBTQIA+ Patients in United States’ Healthcare Facilities

Kate Mirielle Pasia

The United States’ hospitals and healthcare facilities have long questioned the necessity of certain aspects of nondiscrimination interventions to eliminate bias against demographic differences. For healthcare providers today, many workplaces have promoted discussions and inclusion training sessions among the worker community in order to address bias and prejudicial attitudes in workers. This study set out to discover the viability of a video source as an optimal method for bias mitigation, specifically with LGBTQIA+ patients. The Implicit Correlation Test (ICT) measured the level of agreement people felt regarding LGBTQIA+ healthcare. As a result, the results showed the success and reliability of the video To Treat Me, You Have to Know Who I Am, to foster an alteration in perspective regarding the treatment of LGBTQIA+ patients. However, more research is necessary to compare the success of the implementation of a video source in bias interventions to other mitigation methods.