Risks and risk management are one of the significant aspects in cybersecurity. This paper presents a risk strategy and a strategic vision of cybersecurity and introduces enterprise risk management (ERM), ERM models, and risk management models in healthcare. A case study introducing ERM in healthcare is also presented. The case study includes the ERM framework, common approaches to measuring cyber risks, specific risk metrics and key performance indicators, and cyber threats and cybersecurity enhancement. A strategic vision of cybersecurity should be more oriented to advanced systems and cutting-edge technologies, including intrusion detection systems (IDS), intrusion prevention systems (IPS), big data analytics, blockchain, quantum computing, and artificial intelligence (AI)/machine learning (ML)/deep learning (DL). Risk metrics can use qualitative, quantitative, or hybrid methods. Developing, selecting, and implementing advanced risk metrics using quantitative methods is significant. The Health Insurance Portability and Accountability Act (HIPAA) provides a cybersecurity framework for healthcare.
This article describes an effort to calculate the public and economic value of museum experiences. A significant feature of the research was its use of outcome metrics grounded in decades of visitor research on the perceived value of visiting a museum. The article lays out the underlying theoretical approach and presents data from a year-long study of visitors to eight Finnish museums. Results showed that museum users perceived that their visit experience resulted in enhanced, durable feelings of personal, social and physical well-being, with valuations of the economic benefits of these enhanced feelings of well-being in the range of €204–€641/visit. As was the case of the eight museums in the study, most museums annually serve tens to hundreds of thousands of visitors, thus annually individual museums create on the order of tens of millions of Euros of value for their communities and collectively provide value in the billions of Euros. The findings from this research make it possible for museums to make a more valid and credible case for the significant value they create and for the vital role they play in supporting the public’s well-being.
Background: Breast cancer is the leading cause of death among Hispanic/Latina women. Screening mammograms reduces morbidity and mortality, although Spanish-preferred patients face linguistic barriers, with 61% of patients in an Internal Medicine (IM) clinic being up to date on screenings. The study aimed to increase breast screening rates among Spanish-preferred IM patients by 12% within six weeks using culturally tailored Spanish-language educational materials. Methods: Spanish-preferred patients were identified by language preference, age, and breast cancer screening status. Thirty-six women IM patients (intervention) and twenty-six Family Medicine (FM) patients (control) were selected. The IM patients received a link to a Spanish screening education video via an electronic portal message or mailed letter. If no screening was completed, patients were then called by a native Spanish speaker. FM patients received no intervention. Screening rates were compared to evaluate the efficacy of the video in increasing screening. Results: Nine IM patients were excluded due to relocation or receiving care elsewhere. Post-intervention, screening adherence improved in both groups; the IM group improved by 25.9% (7 patients, P = 0.007) and 15.4% in the FM group (4 patients, P = 0.04). The change was significantly higher in the intervention group, P < 0.001. Conclusion: Providing screening education in Spanish significantly improved adherence. Incorporating culturally tailored education in clinical practice mitigates language-related health disparities and improves screening rates. Further research is needed on a larger scale with education in other languages to determine the effects on screening rates when patients have education in their preferred language.
