Medical Information Retrieval for Healthcare: The Challenges

The Medical Information Retrieval (MIR) refers to collect datasets from research agencies, institutes, medical clinical or data from research organizations like hospitals etc and use this information for further experiments for the betterment to get new solutions for the complex health diseases. The purpose of such kind of information retrieval system is to improve the healthcare system, diagnose the disease in less time and try to provide better alternate treatment solutions to the patients. Today the internet has connected the whole world and it is very easy for the medical research organizations to exchange the medical data and exchange the test results. They are not required to do the same experiments again which has already done in any of the country. The research or healthcare research organizations can perform the next level of experiments with the help of collected medical information from the researchers of one country. Even the countries can share the medical information and they can combine do the medical experiments with the retrieved information. However in this research it is tried to study the importance of Medical Information Retrieval and its methods and it is also studied how it is useful in Healthcare. In this study it is noted that there are several challenges the research have to face. Because the different countries have different languages. The medical terms are different in different countries so that sometimes it is difficult to synchronies the retrieved information from different sources. One biggest challenge is that it is not possible to get the accuracy of the data.

Query Expansion Using Medical Information Extraction for Improving Information Retrieval in French Medical Domain

This article describes how many users' queries contain references to named entities, and this is particularly true in the medical field. Doctors express their information needs using medical entities as they are element rich with information that helps better target relevant documents. At the same time, many resources have been recognized as a large container of medical entities and relationships between them such as clinical reports; which are medical texts written by doctors. In this article, the authors present a query expansion method that uses medical entities and their semantic relations in the query context based on an external resource in OWL. The goal of this method is to evaluate the effectiveness of an information retrieval system to support doctors in accessing easily relevant information. Experiments on a collection of real clinical reports show that their approach reveals interesting improvements in precision, recall and MAP in medical information retrieval.