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Cultivating Collaboration: A Primary Care Setting and Community Hub Address Arthritis Management and Social Health Needs
A diagnosis of arthritis-associated pain or disability is a frequent reason for a primary care visit. Even when not the chief concern, arthritis is... -
Wellness for Everybody—in Every Body
In recent years, several qualitative studies have given us field notes of patients describing their experiences having larger bodies and interacting... -
Glucagon-Like Peptide-1 Receptor Agonists: A Pharmacy Perspective on Insurance Coverage and Medication Access
Glucagon-like peptide-1 receptor agonists, more commonly referred to as GLP-1s, have undoubtedly garnered much fanfare the past five years. This...
Archive
Perspectives in Primary Care features writing from practitioners, activists, and community members representing organizations, practices, and institutions across the United States and around the world.
Advocacy
Strategic Implementation of AI in Primary Care
Advances in artificial intelligence (AI), especially since ChatGPT first gained wide recognition in 2022, have led to a wide array of potential applications and solutions for challenges in delivering improved primary care. There are several reasons to be optimistic that these technologies will be a positive transformative force, and some particular areas in which health care systems may also need to exercise some degree of caution. The following are some areas in which we might expect to see clinical improvements as an impact of AI integration, and some ...
Reference
Integrating AI with Narrative-Based Medicine: Enhancing Patient-Centered Care in Primary Practice
Artificial Intelligence (AI) in health care refers to the use of advanced computational algorithms and technologies to analyze complex medical data and assist in clinical decision-making, diagnostics, treatment planning, and patient management. Using machine learning, natural language processing, and neural networks, AI can process large datasets, identify patterns, and make predictions based on data that are often beyond the capacity of human cognition, thereby
