Under the background of artificial intelligence (AI), a human resource information management system was designed to facilitate hospital human resource management and improve hospital management efficiency. Based on AI, SOA was constructed and Java2 platform enterprise edition (J2EE) was combined with Java to design and research hospital human resource information management system. In addition, the function and performance required by the system were tested. The results showed that the designed system showed high safety in requirement analysis and performance. The function focused mainly on the systematic analysis of personnel management, recruitment management, organization and personnel management, and patient medical information. The constructed system could work normally and achieve the efficiency of hospital human resource management. The evaluation response time of system home page access was less than 1 second when 300 users were concurrent, and the utilization rate of service CPU was lower than 50% without abnormal memory fluctuation. The concurrent response time of all 20 managers online was less than 5 seconds, and the utilization rate of the service was lower than 70%. When the information of 100 employees in the system was queried concurrently, the average CPU utilization of the database server exceeded 90%. After performance optimization, the test result showed that the transaction response time was reduced to 0.23 seconds, which met the target requirement. In conclusion, the proposed intelligent human resource management system could reduce hospital management cost and the high sharing of human resource information provided a reference for the decision-making system of hospital leaders.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371888 | PMC |
http://dx.doi.org/10.1155/2022/8377674 | DOI Listing |
Front Psychol
January 2025
Health Service Executive, Portlaoise, Ireland.
Association football (soccer) is the world's most popular sport. Transculturally, fans invest significant resources following their teams, suggesting underlying psychological universals with evolutionary origins. Although evolutionary science can help illuminate the ultimate causes of human behaviour, there have been limited modern evolutionary perspectives on football fandom.
View Article and Find Full Text PDFJ Patient Exp
January 2025
Equity and Inclusion for the Department of Neurology and Psychiatry and Behavioral Neurosciences, Wayne State University, Livonia, MI, USA.
The mental health workforce in the United States faces a significant challenge: a stark underrepresentation of African American practitioners. This disparity reflects broader issues of racial inequality in healthcare and has far-reaching implications for mental health care delivery, particularly within Black communities. This perspective examines the contributing factors to this underrepresentation, explores its consequences on patient care and research, and proposes strategies to increase diversity in the field.
View Article and Find Full Text PDFLandsc Ecol
January 2025
Department of Geography, McGill University, Montreal, QC Canada.
Context: There are urgent calls to transition society to more sustainable trajectories, at scales ranging from local to global. Landscape sustainability (LS), or the capacity for landscapes to provide equitable access to ecosystem services essential for human wellbeing for both current and future generations, provides an operational approach to monitor these transitions. However, the complexity of landscapes complicates how and what to consider when assessing LS.
View Article and Find Full Text PDFPan Afr Med J
October 2024
Department of Paediatrics, Olabisi Onabanjo University, Ago-Iwoye, Ogun State, Nigeria.
Introduction: given the significant disruption in educational activities during the COVID-19 pandemic and the uncertainties about the post-pandemic future, coupled with increasing demand for the healthcare workforce, e-learning may bridge the gap in training medical students. It was imperative to survey the perception and readiness of the trainers on the use of e-learning for undergraduate medical training in Nigeria.
Methods: this cross-sectional study was conducted among teachers of medical students in Nigeria.
Plasma protein levels provide important insights into human disease, yet a comprehensive assessment of plasma proteomics across organs is lacking. Using large-scale multimodal data from the UK Biobank, we integrated plasma proteomics with organ imaging to map their phenotypic and genetic links, analyzing 2,923 proteins and 1,051 imaging traits across multiple organs. We uncovered 5,067 phenotypic protein-imaging associations, identifying both organ-specific and organ-shared proteomic relations, along with their enriched protein-protein interaction networks and biological pathways.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!