BackgroundIn accordance with the People’s Republic of China’s (China) National Health Reform Plan of 2009, two of the nation’s leading hospitals, located in Beijing, have implemented electronic medical record (EMR) systems from different vendors.To inform future EMR adoption and policy in China, as well as informatics research in the US, this study compared the United State’s Hospital Meaningful Use (MU) Objectives (phase 1) objectives to the EMR functionality of two early hospital EMR adopters in China.MethodsAt both hospitals, the researchers observed a physician using the EMR and noted MU functionality that was seen and functionality that was not seen yet was available in the EMR. The information technology department was asked about the availability of functionality neither observed nor known to the physician.Results and conclusionsApproximately half the MU objectives were available in each EMR. Some differences between the EMRs in the study and MU objectives were attributed to operational differences between the health systems and the cultures in the two countries.
The light-matter interaction between plasmonic nanocavity and exciton at the sub-diffraction limit is a central research field in nanophotonics. Here, we demonstrated the vertical distribution of the light-matter interactions at ~1 nm spatial resolution by coupling A excitons of MoS2 and gap-mode plasmonic nanocavities. Moreover, we observed the significant photoluminescence (PL) enhancement factor reaching up to 2800 times, which is attributed to the Purcell effect and large local density of states in gap-mode plasmonic nanocavities. Meanwhile, the theoretical calculations are well reproduced and support the experimental results.
Addressing the spread of coronavirus disease 2019 (COVID-19)
has
highlighted the need for rapid, accurate, and low-cost diagnostic
methods that detect specific antigens for SARS-CoV-2 infection. Tests
for COVID-19 are based on reverse transcription PCR (RT-PCR), which
requires laboratory services and is time-consuming. Here, by targeting
the SARS-CoV-2 spike protein, we present a point-of-care SERS detection
platform that specifically detects SARS-CoV-2 antigen in one step
by captureing substrates and detection probes based on aptamer-specific
recognition. Using the pseudovirus, without any pretreatment, the
SARS-CoV-2 virus and its variants were detected by a handheld Raman
spectrometer within 5 min. The limit of detection (LoD) for the pseudovirus
was 124 TU μL
–1
(18 fM spike protein), with
a linear range of 250–10,000 TU μL
–1
. Moreover, this assay can specifically recognize the SARS-CoV-2
antigen without cross reacting with specific antigens of other coronaviruses
or influenza A. Therefore, the platform has great potential for application
in rapid point-of-care diagnostic assays for SARS-CoV-2.
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