A5035760462- Health Policy Implementation Science
- Healthcare cost, quality, practices
- Health and Medical Research Impacts
- Ethics in Clinical Research
- Medical Malpractice and Liability Issues
- Disaster Response and Management
Metropolitan State University of Denver
2021
Artificial intelligence and machine learning (AI/ML) in prevention science may improve or perpetuate health inequities. Community engagement is one proposed strategy thought to empirically mitigate bias AI/ML tools. We outline how incorporate community at every stage of the model development implementation. Borrowing from a framework for phases research, we describe value application engaging communities help shape more rigorous relevant applications science. provide concrete examples...
Efforts to move community engagement in research from marginalized mainstream include the NIH requiring programs all Clinical and Translational Science Awards (CTSAs). However, COVID-19 pandemic has exposed how little these efforts have changed dominant culture of clinical research. When faced with urgent need generate knowledge about prevention treatment novel coronavirus, researchers largely neglected involve stakeholders early process. This failure cannot be divorced broader context...
RESUMENLa pandemia del novel coronavirus (COVID -19) es la amenaza de salud pública más grande presente siglo, y se ha convertido en un reto para los sistemas a nivel global.La planeación respuesta generan cuestionamientos éticos importantes relación con el liderazgo, limitación libertades individuales, necesidad racionar cuidados contexto una escasez recursos, uso terapias experimentales riesgo que enfrentan trabajadores salud.