Integration of Artificial Intelligence and Human Computer Interaction in Healthcare

Abstract

Artificial intelligence (AI) and human-computer interaction (HCI) are two important fields that are increasingly being used in the healthcare industry. AI technologies such as machine learning and natural language processing can be used to analyze large amounts of data, identify patterns and trends, and make predictions. This can be helpful in a variety of healthcare applications, such as predicting the likelihood of a patient developing a particular disease or condition, helping doctors diagnose patients more accurately, and identifying potential side effects of drugs. HCI, on the other hand, focuses on the design of user-friendly and effective interfaces between humans and computers. In healthcare, HCI plays a crucial role in the development of electronic health record systems, telemedicine platforms, and other digital health tools that allow healthcare professionals to more easily access and manage patient data. AI alone cannot provide the insights that healthcare providers need without effective HCI to enable interpretation and action, while HCI alone cannot provide the level of accuracy and efficiency that AI can deliver. By using AI and HCI together, healthcare providers can leverage the strengths of both technologies, allowing for more efficient and accurate analysis of data, improved diagnosis and treatment, and ultimately, better patient outcomes. Overall, the future of AI and HCI in healthcare looks bright, and these technologies have the potential to greatly improve the way that healthcare is delivered and to make it more accessible and affordable for people around the world.

Keywords

• artificial intelligence
• human-computer interaction
• healthcare
• machine learning