Program Summary:  The reading for this course asks important legal and ethical questions related to the emergence of AI in healthcare.  For example, should the final decisions in medical matters depend on human judgment alone? What does informed consent look like when treatment includes opaque, unintelligible AI algorithms? How can a patient challenge a decision if the health professional cannot clearly explain how or why they proposed a certain treatment? What probability of error is acceptable in AI models?  Who should be held responsible for AI errors?  This course examines the main ethical and legal considerations for AI development in healthcare and highlights ethical principles of privacy, confidentiality, autonomy, informed consent, beneficence, and nonmaleficence.  Issues of bias, responsibility, liability, and the transformation of work are also discussed.  This course identifies a need for healthcare workers to expand their AI competence with a special emphasis placed on ethical and legal considerations.

This course is recommended for social workers and is appropriate for beginning and intermediate levels of practice.  This course is not recommended for NBCC ethics credit.
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Program Summary:  This updated course explores communication in cancer care and highlights the importance of effective, high-quality, bidirectional communication for patients and families.  The course examines the challenges involved in cancer-related communication and acknowledges that better models and strategies are needed.  Research findings, communication models, and demographic and cultural considerations are discussed.

This course is recommended for social workers and counselors and is appropriate for beginning and intermediate levels of practice.   Read the complete description of this course…..

Program Summary:  This course explores explicit and implicit biases in health care and provides an overview of the terminology, the tools used to measure implicit bias, the evidence for implicit bias in health care, the impact of implicit bias in health care, the impact of interventions designed to reduce implicit bias, the key structural factors affecting implicit bias, and the relationship between implicit bias and structural inequities.  The course suggests that implicit bias interventions alone are not enough to reduce biased decision making and health disparities and should be accompanied by other systemic changes.

This course is recommended for social workers and health care professionals and is appropriate for beginning and intermediate levels of practice. Read the complete description of this course…..

Program Summary:   This course explores potential implicit bias in healthcare by looking at stigmatizing language in the healthcare record. The course highlights a study using machine learning to analyze electronic health records using 15 different patient descriptors:  (non-) adherent, aggressive, agitated, angry, challenging, combative, (non-)compliant, confront, (non-) cooperative, defensive, exaggerate, hysterical, (un-)pleasant, refuse, and resist.  A discussion of results and recommendations are given.

This course is recommended for social workers, counselors, and therapists.

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Program Summary:  This course explores the unique challenges and strategies for preventing and treating HIV for people with substance use and/or mental disorders.   You will learn about the interrelated factors that impact HIV prevention and treatment efforts.  Programs and practices are examined, including PrEP, Syringe Services Programs, Contingency and Management, Cognitive Behavioral Therapy, and Patient Navigation.

This course is recommended for social workers, counselors, and therapists and it is appropriate for beginning and intermediate levels of practice.  

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