As technology permeates day-to-day life, people have more and more ways to communicate. These forms of communication create a challenge for Public Safety Answering Points (PSAP). Research has shown people are posting on social media for medical help, but PSAPs do not have a way to receive these messages. This research aims to determine if using keywords and filter words can be used to find the actionable calls for help in the midst of the millions of posts made. Actionable is defined as containing enough information to determine the nature of a medical emergency and if is currently occurring or is recent enough that the poster needs help. To determine if this was true, the most prevalent types of voice medical calls to the Cincinnati Fire Department were determined for 2021. A set of keywords and filter words was created for each call type. Then tweets were captured over a period of seventeen hours and filtered using the word lists. The filtering showed there was a valid way to find actionable tweets, and that people were posting such things. By varying the word lists, the signal-to-noise ratio can be adjusted depending on the desires of the agency. as filtering became more strict, the number of missed actionable tweets increased, while the number of incorrectly labeled as actionable decreased.
Intelligent Application if defined technically is a strategy that uses hyper-personalized mobile app experiences and services and knowledge-extraction processes to increases the user experience (Jessica Ekholm, 2017). In simple words, the applications that not only know how to support or enable key decisions but also continually learn from the user interactions to become even more relevant and valuable to those users, are known as Intelligent apps. Such applications are smart enough to differentiate between relevant and irrelevant information with the help of AI algorithms. Moreover, these apps have the capability to ease the complex task into the as simple task as a single touch.
In the field of information technology, virtual reality and simulation learning have become huge trends, not only in gaming and entertainment, but also in academic fields such as medicine. In the past, medical training has always been costly in providing tools and resources for entry-level medical students to acquire proper training. Medical training conducted in a virtual environment has not only yielded higher success rates, but has also reduced resource costs overall. However, with no standardized guidelines for conducting certain training regimens and learning skills, there are still studies that show some medical training programs do not produce the best results. This research focuses on analyzing the usage of virtual reality in current medical training programs to design a medical, virtual reality, training program. This program will revolve around entry-level medical students who will be attending the University of Cincinnati’s College of Medicine. This research proposal will not only examine previous research on the utilization of virtual reality in various types of medical training, but also discuss the potential benefits of developing this training program at UC.
Currently, there are many threats to small businesses, from simple employee mishandling of sensitive data to hackers attempting to breach systems for consumer data. In this paper, I attempt to review what threats businesses are currently facing, current challenges to implementing a security program, and possible ways to implement a security solution.
Keywords: Information Security, Cyber Security, Least Privilege, Risk Mitigation, Small Business, Trojan, Phishing, Malware, Ransomware, Skimmers, Security Program