The increasing adoption of wearable devices, point-of-care diagnostics, and telemedicine has the potential to transform primary care. However, their effectiveness ultimately depends on whether patients act upon the data they generate. This challenge extends beyond technology into the realm of human behavior, as seen in the persistent rise of obesity despite widespread access to weight-monitoring tools. The Health Belief Model and Transtheoretical Model highlight that awareness alone is insufficient to drive behavior change—psychological, social, and economic barriers often prevent individuals from progressing to action. Similarly, Social Cognitive Theory emphasizes the role of self-efficacy and social support in sustaining health-related behaviors. Studies indicate that wearable devices increase awareness but do not necessarily lead to long-term behavior change without additional interventions, such as structured programs, health coaching, and social reinforcement. Insights from behavioral economics, including nudging techniques and motivational interviewing, further suggest that the way health choices are framed can significantly impact patient adherence. To bridge the gap between awareness and action, primary care must integrate behavioral support with health technologies, ensuring that patients receive not only data but also the motivation and resources needed to implement meaningful lifestyle changes.