Emerging Trends in Computer Science Applications for Healthcare Management
Year: 2024
Type: article
Abstract: This research delves into the emerging applications of computer science in healthcare management. It focuses on the integration of artificial intelligence, machine learning, cognitive computing, telehealth, and the Internet of Things. The paper evaluates four AI algorithms that are used to improve health outcomes: Decision Trees, Support Vector Machines, Neural Networks, and Random Forests. Experimental results show that these algorithms are effective in healthcare, and Decision Trees achieved an accuracy of 89%, Support Vector Machines reached 91%, Neural Networks outperformed with 93%, and Random Forests achieved 90% accuracy for the prediction of patient outcomes. The research also evaluates the impact of telehealth in the management of hypertension and the use of IoT-enabled devices for real-time monitoring. Results show that telehealth interventions caused a 30% boost in patient adherence to care plans. The introduction of the IoT in healthcare equipment revealed 25% less visit to the emergency room as long as it is being monitored perpetually. This study reiterates the transformative nature of AI and related technologies in helping improve healthcare management, with some points of challenge in terms of security, privacy, and data interoperability. Future work should be focused on such challenges to fully unleash the power of computer science in health care.
Source: Nanotechnology Perceptions
Language: English
Topic: Internet of Things and AI
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7216612440