Risk Management Tools & Resources

 


Artificial Intelligence Risks: Data Privacy and Security

Artificial intelligence (AI), much like other types of health information technology, raises concerns about data privacy and security — particularly in an era where cyberattacks are rampant and patients’ protected health information (PHI) is highly valuable to identity thieves and cyber criminals.

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Artificial Intelligence Risks: Patient Expectations

At the heart of many innovations in healthcare are patients and finding ways to improve the quality of their care and experience. This is perhaps no more true than in the case of artificial intelligence (AI), which offers vast potential for improving patient outcomes through advances in population health management, risk identification and stratification, diagnosis, and treatment. Yet even with this promise, questions arise about how patients will interact with and react to these new technologies as well as how these advances will change the provider–patient relationship.

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Artificial Intelligence Risks: Training and Education

Training and education are imperative in many facets of healthcare — from understanding clinical systems, to improving technical skills, to understanding regulations and professional standards. Technology often presents unique training challenges because of the ways in which it disrupts existing workflow patterns, alters clinical practice, and creates both predictable and unforeseen challenges.

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Active Shooter Preparedness and Response for Healthcare Practices

Healthcare practices, like hospitals, need to be ready for the tragic reality of an active shooter at their location. However, unlike hospitals, they have fewer people to protect and cover less square feet. Despite the physical environment of a healthcare practice, having an emergency preparedness plan in place that addresses an active shooter situation is critical.

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The Corrosive Effect of Disruptive Behavior on Staff Morale and Patient Care

In any workplace, disruptive and negative behaviors can chip away at workers’ confidence, erode trust in leadership, and generally sour the working environment. Healthcare is no exception, and disruptive behavior among healthcare providers and staff is a well-documented problem in various practice settings.

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Preventing Microaggressions From Souring Your Organizational Culture

Workplace culture is a complex weaving of values, beliefs, behaviors, standards, goals, priorities, perceptions, and more. In healthcare, the importance of organizational culture is heightened because of the serious nature of the work and the esteemed role of medicine in society. A toxic culture can have widespread consequences, including staff burnout, turnover, and absenteeism; suboptimal care and patient harm; loss of reputation; and liability exposure.

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Patient Satisfaction Surveys as a Quality Improvement Tool for Healthcare Practices

Providing high-quality, optimal care has been a long-standing goal for healthcare leaders, practitioners, and nonclinical staff. Although this focus is not new, the increased emphasis on patient-centered care and the shift to value-based payment models in recent years have cast new light on the importance of patient satisfaction.

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Balancing Social Media and Patient Privacy in Healthcare

Maintaining privacy of patients’ protected health information (PHI) is one of the most significant concerns related to social media use in healthcare. Privacy and security of PHI are addressed in federal law and governed by the U.S. Department of Health and Human Services (HHS) under the Health Insurance Portability and Accountability Act of 1996 (HIPAA). States also may have laws related to the privacy and security of PHI, which might be more stringent than federal laws.

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