The impact of emerging standards adoption on automated quality reporting.

Current quality measurement processes are labor-intensive, involving manual chart reviews and use of paper-based quality measures that vary in format and definitions from measure to measure. Automated quality reporting is considered by many to be an important tool that will help close the gaps in the quality of US health by increasing the timeliness, effectiveness, and use of quality assessment. In 2007, the US Department of Health and Human Services Office of the National Coordinator for Health Information Technology (ONC) funded three Nationwide Health Information Network (NHIN) health information exchanges (HIE) to demonstrate the feasibility of automated quality reporting by using existing or emerging standards to aggregate information from multiple providers, transmit patient-level quality data in standardized formats, perform an automated quality assessment, and generate a quality report document for electronic transmission. Long Beach Network for Health (LBNH), a NHIN Cooperative HIE, developed a web-based, real-time quality assessment service that calculates quality of care measure using clinical data aggregated through a HIE. LBNH used a set of draft standards to demonstrate automated quality reporting, but noted three important recommendations for future work. First, greater coordination is needed around initiatives that address the gaps in electronic quality measurement standards and processes, including strong Federal involvement and guidance. Second, a harmonized, evergreen quality use case is needed to provide stakeholders with a common understanding on the constantly evolving approaches towards automated quality measurement and reporting. Finally, there needs to be substantial investment in building on existing work and developing a comprehensive set of data and messaging standards to preserve semantic interoperability of quality measure data.

Does a video-interpreting network improve delivery of care in the emergency department?

OBJECTIVE: To measure the impact of a policy change from use of telephonic and face-to-face interpreting to use of a video-interpreting network on Emergency Department (ED) care. DATA SOURCES/STUDY SETTING: Observational study of ED care at two California hospitals. STUDY DESIGN: We compared tests ordered, time in the ED, and admission rates for English- and Spanish-speaking patients presenting with chest pain and abdominal pain before and after the policy change. DATA COLLECTION/EXTRACTION METHODS: Data were extracted from electronic medical and billing records. PRINCIPAL FINDINGS: Mean time in the ED, mean number of laboratory tests, radiology services, electrocardiograms, and echocardiograms, and rates of hospital admission for both language groups at both hospitals went down in the post-video-interpreting network period compared with the pre-video-interpreting network period. The percentage of patients leaving the ED against medical advice (AMA) increased in one hospital for both language groups; this increase was statistically significantly smaller in the Spanish-language group compared with the English group (p = .04). CONCLUSIONS: The studied video-interpreting network had minimal impact on health care outcomes in the ED.

An informatics agenda for public health: summarized recommendations from the 2011 AMIA PHI Conference.

The AMIA Public Health Informatics 2011 Conference brought together members of the public health and health informatics communities to revisit the national agenda developed at the AMIA Spring Congress in 2001, assess the progress that has been made in the past decade, and develop recommendations to further guide the field. Participants met in five discussion tracks: technical framework; research and evaluation; ethics; education, professional training, and workforce development; and sustainability. Participants identified 62 recommendations, which clustered into three key themes related to the need to (1) enhance communication and information sharing within the public health informatics community, (2) improve the consistency of public health informatics through common public health terminologies, rigorous evaluation methodologies, and competency-based training, and (3) promote effective coordination and leadership that will champion and drive the field forward. The agenda and recommendations from the meeting will be disseminated and discussed throughout the public health and informatics communities. Both communities stand to gain much by working together to use these recommendations to further advance the application of information technology to improve health.