Precision Health Analytics With Predictive Analytics and Implementation Research: JACC State-of-the-Art Review.

Emerging data science techniques of predictive analytics expand the quality and quantity of complex data relevant to human health and provide opportunities for understanding and control of conditions such as heart, lung, blood, and sleep disorders. To realize these opportunities, the information sources, the data science tools that use the information, and the application of resulting analytics to health and health care issues will require implementation research methods to define benefits, harms, reach, and sustainability; and to understand related resource utilization implications to inform policymakers. This JACC State-of-the-Art Review is based on a workshop convened by the National Heart, Lung, and Blood Institute to explore predictive analytics in the context of implementation science.

Practice-Based Research Networks: Strategic Opportunities to Advance Implementation Research for Health Equity.

While the vast majority of people receive their medical care in community primary and specialty care clinics, most clinical research is performed in academic tertiary care hospitals and hospital clinics. Practice-based research networks are most commonly collections of primary care practices that work together to ask and answer health questions for their patients and communities and are an integral part of the translational pathway from discovery to practice to community health. Community primary care practices are at the front line of health equity issues; equity in clinical care, equity in community health, equity in social determinants of health, and equity in health outcomes.

Reducing Cardiovascular Disparities Through Community-Engaged Implementation Research: A National Heart, Lung, and Blood Institute Workshop Report.

Cardiovascular disparities remain pervasive in the United States. Unequal disease burden is evident among population groups based on sex, race, ethnicity, socioeconomic status, educational attainment, nativity, or geography. Despite the significant declines in cardiovascular disease mortality rates in all demographic groups during the last 50 years, large disparities remain by sex, race, ethnicity, and geography.

Special issue on primary care practice-based research networks: insights on innovative strategies for harnessing health information technology to help individuals, teams.

This issue of the Journal highlights the problem-solving perspectives of primary care practices, including practice-based research networks. Informed, dedicated primary care teams are seeking incremental insight on how to use health information technology to support holistic enhancements in primary care, including how health information technology can support individual patients and how it can support care teams. Practice-based research networks comprise groups of primary care clinicians, their diversified practice teams, and skilled researchers, all of whom work together to answer community-based health care questions, seek practical solutions, and translate research findings into practice.

Health information technology and hospital patient safety: a conceptual model to guide research.

Background: The literature indicates that health information technology (IT) use may lead to some gains in the quality and safety of care in some situations but provides little insight into this variability in the results that has been found. The inconsistent findings point to the need for a conceptual model that will guide research in sorting out the complex relationships between health IT and the quality and safety of care.

Methods: A conceptual model was developed that describes how specific health IT functions could affect different types of inpatient safety errors and that include contextual factors that influence successful health IT implementation.