Between Web search engines and artificial intelligence: what side is shown in laboratory tests?

Diagnosis (Berl). 2020 Apr 25;8(2):227-232. doi: 10.1515/dx-2020-0022. Print 2021 May 26.

Abstract

Background: The number of websites providing laboratory test information is increasing fast, although the accuracy of reported resources is sometimes questionable. The aim of this study was to assess the quality of online retrievable information by Google Search engine.

Methods: Considering urinalysis, cholesterol and prostate-specific antigen (PSA) as keywords, the Google Search engine was queried. Using Google Trends, users' search trends (interest over time) were evaluated in a 5-year period. The first three or 10 retrieved hits were analysed in blind by two reviewers and classified according to the type of owner or publisher and for the quality of the reported Web content.

Results: The interest over time constantly increased for all the three considered tests. Most of the Web content owners were editorial and/or publishing groups (mean percentage 35.5% and 30.0% for the first three and 10 hits, respectively). Public and health agencies and scientific societies are less represented. Among the first three and 10 hits, cited sources were found to vary from 26.0% to 46.7% of Web page results, whilst for cholesterol, 60% of the retrieved Web contents reported only authors' signatures.

Conclusions: Our findings confirm those obtained in other studies in the literature, demonstrating that online Web searches can lead patients to inadequately written or reviewed health information.

Keywords: Google Trends; Web search engine; artificial intelligence; health information; laboratory tests; online information.

MeSH terms

  • Artificial Intelligence*
  • Humans
  • Male
  • Search Engine*