Search AMIA.org

We compare 5 health informatics research projects that applied community-based participatory research (CBPR) approaches with the goal of extending existing CBPR principles to address issues specific to health informatics research.

To collaborate with community members to develop tailored infographics that support comprehension of health information, engage the viewer, and may have the potential to motivate health-promoting behaviors.

This research focuses on the potential ability of animated avatars (a digital representation of the user) and virtual agents (a digital representation of a coach, buddy, or teacher) to deliver computer-based interventions for adolescents' chronic weight management. An exploration of the acceptance and desire of teens to interact with avatars and virtual agents for self-management and behavioral modification was undertaken.

Immunization registries or information systems are critical to improving the quality and evaluating the ongoing success of immunization programs. However, the completeness of these systems is challenged by a myriad of factors including the fragmentation of vaccine administration, increasing mobility of individuals, new vaccine development, use of multiple products, and increasingly frequent changes in recommendations. Mobile technologies could offer a solution, which mitigates some of these challenges. Engaging individuals to [...]

Mobile technologies may be suitable for delivering Ecological Momentary Interventions (EMI) to treat anxiety in real-time. This review aims to synthesize evidence on the effectiveness of EMI for treating anxiety conditions.

To identify implementation lessons from the United Kingdom Delivering Assisted Living Lifestyles at Scale (dallas) program-a large-scale, national technology program that aims to deliver a broad range of digital services and products to the public to promote health and well-being.

The high prevalence of limited health literacy among patients threatens the success of secure electronic messaging between patients from diverse populations and their providers.

In this case report, the authors describe the implementation of a system for collecting patient-reported outcomes and integrating results in an electronic health record. The objective was to identify lessons learned in overcoming barriers to collecting and integrating patient-reported outcomes in an electronic health record. The authors analyzed qualitative data in 42 documents collected from system development meetings, written feedback from users, and clinical observations with practice staff, providers, and [...]

To develop and evaluate RobotReviewer, a machine learning (ML) system that automatically assesses bias in clinical trials. From a (PDF-formatted) trial report, the system should determine risks of bias for the domains defined by the Cochrane Risk of Bias (RoB) tool, and extract supporting text for these judgments.

The aim of this systematic review was to synthesize current knowledge of the factors influencing healthcare professional adoption of mobile health (m-health) applications.