Cybercrime directs to any criminal activity taken out utilizing computers or the internet. Attackers have chosen strategies such as social engineering, phishing, and malware as part of their cyber-attacks. A cyber-attack can lead to various effects, ranging from stealing individual data to extortion money or losing helpful information. Society and systems depend on critical infrastructures like power plants, hospitals, and financial services companies. This paper analyzes financial losses statistics for cyber security and future trends. The cost of cybercrime prevention is increasing day by day. Financial losses refer to damages to the wealth of an organization. This includes organizational losses, compensation, and legal fees. By financial loss, we mean increased costs or reduced income caused by the threat. We collect data from various datasets and information from sources. After collecting data, we analyze the data and create a different chart to identify the growth of cyber-attacks, cyber security, and cybercrime costs. We analyze global and worldwide cybercrime status. We also investigate state-wise cybercrime and the cyber security status of the United States of America. Our main objective of the analysis is to find out the financial losses and future trends of cybercrime and cyber security. From our study, we noticed that the number of cybercrimes and their management and prevention costs are rapidly increasing in the USA and worldwide.

Automating digital systems in healthcare plays a significant role in transforming the quality-of-care services delivered to patients across the board. This role is anticipated to be accomplished by the development and implementation of artificial intelligence in healthcare which has the potential to impact the provision of healthcare services. This paper sought to investigate the impact of adopting and implementing artificial intelligence on the automation of digital health systems within the different levels of healthcare. The general objective of the research study was to investigate the impact of artificial intelligence in the automation of digital health systems. The specific goals were to understand the concept of artificial intelligence and how it automates digital strategies, to determine the AI systems that have been developed and implemented in the healthcare systems, to establish the factors that influence the adoption of AI in healthcare, and to find out the outcomes of implementing AI in digital health systems. The research employed the descriptive research design. The study population included healthcare workers, policymakers, IT specialists, and management teams in the healthcare sector in the State of Kentucky. The sampling technique for the study was the purposive sampling technique. The study collected data using semi-structured interviews administered through Google Teams and Zoom. Data analysis was analyzed using the computer-assisted software for analyzing qualitative data, NVivo. The findings were that AI as a technological concept has the potential to impact the automation of digital health systems and is key to automating health services such as the diagnosis and treatment of illnesses and management of claims and payments. The study recommended that policy supports the application of artificial intelligence in healthcare, thus enabling the automation of several healthcare services and thus improving the delivery of care.

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The ongoing COVID-19 pandemic has disrupted nearly every sector of the world economy. The recently discovered vaccine has promised a return to normalcy. Since traditional database storage systems can be tampered with quickly, the incorporation of blockchain would preclude the limitations of conventional database systems. This paper thus discusses the use of blockchain technology in managing the COVID-19 vaccine data to ensure credibility, safety, security, and transparency.