Literature DB >> 21335681

Study of the effects of Clinical Decision Support System's incorrect advice and clinical case difficulty on users' decision making accuracy.

Kamran Golchin1, Abdul Roudsari.   

Abstract

Different Clinical Decision Support Systems (CDSS) are reported to have different effects on clinicians' performance and various factors have been shown to be responsible for that (e.g. system's advice correctness, case difficulty, users' expertise...). The aim of this study is to determine how "advice correctness" and "case difficulty" affect users accepting/rejecting the comments of the system and consequently making a right or wrong decision. It was shown that in difficult cases, users level of making mistakes in clinical decision making was significantly higher when the comments were wrong. But there was no statistically significant difference between easy and difficult cases in how users accepted/rejected correct advice.

Mesh:

Year:  2011        PMID: 21335681

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  Automation bias in electronic prescribing.

Authors:  David Lyell; Farah Magrabi; Magdalena Z Raban; L G Pont; Melissa T Baysari; Richard O Day; Enrico Coiera
Journal:  BMC Med Inform Decis Mak       Date:  2017-03-16       Impact factor: 2.796

Review 2.  Automation bias and verification complexity: a systematic review.

Authors:  David Lyell; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2017-03-01       Impact factor: 4.497

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.