MedReadr Calibration Data

MedReadr is a new tool designed to help patients and healthcare providers evaluate the reliability of online health information. As more people use the Internet to find medical information, it's important to ensure that this information is accurate and trustworthy. However, existing tools for checking the quality of online health content are often time-consuming, require expert reviewers, or are not widely applicable. MedReadr solves this problem by offering a fully automated way to assess the reliability of health articles. It analyzes both the text and metadata (information on and about the webpage) to score articles based on various factors like how current the information is, the number of scientific references, and the overall sentiment and engagement of the content. To develop MedReadr, researchers first manually evaluated 35 health articles using established scoring methods and then used this data to train the MedReadr algorithm. They found that MedReadr's scores were very similar to the manual scores, with a high degree of accuracy. They then compared MedReadr scores to another 20 articles and still found a high degree of accuracy. MedReadr is available as a Chrome browser extension, making it easy to use. It helps users quickly determine the quality of the health information they find online, ensuring they rely on trustworthy sources. This tool is especially useful for patients and healthcare providers who need to make informed decisions based on reliable medical information.