Information Retrieval Systems in Healthcare

edited-book

Author(s): Srijit Panja

Publication date: February 9 2024

Publisher: IGI Global

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Abstract

Healthcare systems generate an immense volume of data, which presents a unique opportunity to make a significant impact. This chapter examines the role of information retrieval systems in healthcare, specifically focusing on how text analysis can be utilized to enhance the understanding of medical data. By employing advanced text mining tools, this chapter demonstrates how we can extract valuable insights from these complex documents. It also presents text analytics as a solution-oriented approach, particularly beneficial in managing crises within healthcare systems and in making informed decisions based on accurate data analysis. The technical foundation of the study is rooted in the fields of natural language processing and artificial intelligence, with a focus on methodologies related to the semantics of words and text (e.g., text corpus, dictionaries, and text embeddings). Through this exploration, the chapter aims to highlight the transformative potential of text analysis and information retrieval systems in revolutionizing healthcare data understanding.

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Artificial Intelligence (AI) applications for COVID-19 pandemic

Raju Vaishya, Mohd Javaid, Ibrahim Haleem Khan … (2020)

Background and aims Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics. Methods The rapid review of the literature is done on the database of Pubmed, Scopus and Google Scholar using the keyword of COVID-19 or Coronavirus and Artificial Intelligence or AI. Collected the latest information regarding AI for COVID-19, then analyzed the same to identify its possible application for this disease. Results We have identified seven significant applications of AI for COVID-19 pandemic. This technology plays an important role to detect the cluster of cases and to predict where this virus will affect in future by collecting and analyzing all previous data. Conclusions Healthcare organizations are in an urgent need for decision-making technologies to handle this virus and help them in getting proper suggestions in real-time to avoid its spread. AI works in a proficient way to mimic like human intelligence. It may also play a vital role in understanding and suggesting the development of a vaccine for COVID-19. This result-driven technology is used for proper screening, analyzing, prediction and tracking of current patients and likely future patients. The significant applications are applied to tracks data of confirmed, recovered and death cases.