ReportFlow: an application for EEG visualization and reporting using cloud platform.

BACKGROUND: The cloud is a promising resource for data sharing and computing. It can optimize several legacy processes involving different units of a company or more companies. Recently, cloud technology applications are spreading out in the healthcare setting as well, allowing to cut down costs for physical infrastructures and staff movements. In a public environment the main challenge is to guarantee the patients' data protection. We describe a cloud-based system, named ReportFlow, developed with the aim to improve the process of reporting and delivering electroencephalograms. METHODS: We illustrate the functioning of this application through a use-case scenario occurring in an Italian hospital, and describe the corresponding key encryption and key management used for data security guarantee. We used the X2 test or the unpaired Student t test to perform pre-post comparisons of some indexes, in order to evaluate significant changes after the application of ReportFlow. RESULTS: The results obtained through the use of ReportFlow show a reduction of the time for exam reporting (t = 19.94; p < 0.001) and for its delivering (t = 14.95; p < 0.001), as well as an increase of the number of neurophysiologic examinations performed (about 20%), guaranteeing data integrity and security. Moreover, 68% of exam reports were delivered completely digitally. CONCLUSIONS: The application resulted to be an optimal solution to optimize the legacy process adopted in this scenario. The comparative pre-post analysis showed promising preliminary results of performance. Future directions will be the creation and release of certificates automatically.

Assessment of nociceptive system in vegetative and minimally conscious state by using laser evoked potentials.

PRIMARY OBJECTIVE: The aim of this study is to assess if laser evoked potentials (LEPs) examination should be considered as an objective evidence of potential or residual pain perception capacity in vegetative (VS) and minimally conscious state (MCS) patients and if it could be a feasible methodology in order to differentiate these two clinical entities. RESEARCH DESIGN: This is a cross-sectional observational study focusing on the role of LEP examination, which is an easy and objective neurophysiological approach of the nociceptive system. METHODS AND PROCEDURES: Thirteen VS and 10 MCS patients were enrolled. All subjects were evaluated clinically by using validated behavioural scales and underwent to upper and lower limbs LEP recording. MAIN OUTCOMES AND RESULTS: Intra-group LEPs analysis in VS patients highlighted significant differences for N2P2 latency (p = 0.036) and amplitude (p = 0.018). Inter-group LEPs analysis showed significant differences in post-anoxic condition for N2P2 latency (p = 0.034), amplitude (p = 0.034) and a trend in N2P2 latency in brain trauma (p = 0.07). Interestingly, correlation analysis showed a significant relationship between N2P2 amplitude and Coma Recovery Scale-Revised scoring in the post-traumatic VS (r = 0.823, p = 0.044). CONCLUSIONS: The findings lead to detection of potential markers of conscious pain perception in patients with DOC, with important impact on therapeutic and rehabilitative management, and provide new information that may allow a better differential diagnosis.