Telemonitoring is among the fastest growing telemedicines. It extends critical healthcare to a distant care recipient. With pervasive computing, pervasive telemonitoring has the potential to warrant unrestricted and continuous healthcare benefiting management of both acute and chronic conditions. Implementing telemedical technology into practical routine care requires acceptance from the end-users including healthcare providers and healthcare recipients. Previous telemedicine research has concentrated on technology development and technology acceptance from the standpoint of either an organization or a healthcare professional, hence, offering limited discussions in patient technology acceptance. This quantitative survey research addresses pervasive telemonitoring acceptance from a patient's point of view. The research conceptual framework was built upon the Technology Acceptance Model (TAM) with two extensions—trusting beliefs and self-efficacy. The research context is a medically underserved community in an urban inner city. The primary objective of this research investigated the factors that influence a patient's acceptance of pervasive telemonitoring. The second objective examined the applicability of the TAM to the research context. Research data was collected, using self-reported paper surveys, from a hospital affiliated telemonitoring program designed for a medically underserved community with patients suffering from chronic heart failure conditions. The response rate was 66.85% (N = 121) based on convenient sampling. The data was analyzed using logistic and linear regressions. Findings of this study showed that perceived usefulness, perceived ease of use, and self-efficacy did not have a significant impact to a patient's acceptance of pervasive telemonitoring, contradicting the results from most previous TAM-based studies. Findings also showed that the survey responses were unable to distinguish the subtlety embedded in the background theories of TAM; rather, an overall variable combining the three fundamental variables associated with TAM (perceived usefulness, perceived ease of use, and self-efficacy) might be more suitable for a similar research context. Conversely, findings indicated that trusting beliefs had a statistically significant predicting power over a patient's acceptance of pervasive telemonitoring. Overall, findings of this research suggested that trust building between healthcare providers and patients is imperative to organizations considering pervasive telemonitoring adoption, particularly when the technology is administered to a disadvantaged and medically underserved population.