Workplace violence injury in 106 US hospitals participating in the Occupational Health Safety Network (OHSN), 2012-2015.

BACKGROUND: Workplace violence is a substantial occupational hazard for healthcare workers in the United States. METHODS: We analyzed workplace violence injury surveillance data submitted by hospitals participating in the Occupational Health Safety Network (OHSN) from 2012 to 2015. RESULTS: Data were frequently missing for several important variables. Nursing assistants (14.89, 95%CI 10.12-21.91) and nurses (8.05, 95%CI 6.14-10.55) had the highest crude workplace violence injury rates per 1000 full-time equivalent (FTE) workers. Nursing assistants' (IRR 2.82, 95%CI 2.36-3.36) and nurses' (IRR 1.70, 95%CI 1.45-1.99) adjusted workplace violence injury rates were significantly higher than those of non-patient care personnel. On average, the overall rate of workplace violence injury among OHSN-participating hospitals increased by 23% annually during the study period. CONCLUSION: Improved data collection is needed for OHSN to realize its full potential. Workplace violence is a serious, increasingly common problem in OHSN-participating hospitals. Nursing assistants and nurses have the highest injury risk.

Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics.

The field of biomedical informatics experienced a productive 2015 in terms of research. In order to highlight the accomplishments of that research, elicit trends, and identify shortcomings at a macro level, a 19-person team conducted an extensive review of the literature in clinical and consumer informatics. The result of this process included a year-in-review presentation at the American Medical Informatics Association Annual Symposium and a written report (see supplemental data). Key findings are detailed in the report and summarized here. This article organizes the clinical and consumer health informatics research from 2015 under 3 themes: the electronic health record (EHR), the learning health system (LHS), and consumer engagement. Key findings include the following: (1) There are significant advances in establishing policies for EHR feature implementation, but increased interoperability is necessary for these to gain traction. (2) Decision support systems improve practice behaviors, but evidence of their impact on clinical outcomes is still lacking. (3) Progress in natural language processing (NLP) suggests that we are approaching but have not yet achieved truly interactive NLP systems. (4) Prediction models are becoming more robust but remain hampered by the lack of interoperable clinical data records. (5) Consumers can and will use mobile applications for improved engagement, yet EHR integration remains elusive.