Artificial intelligence and reduction of medical errors in laboratory diagnosis

Background and aims:Studies show that in some countries (the United States), medical errorsare the third cause of death, with ۲۵۰۰۰۰ deaths per year.Among the problems that commonlyoccur during provided that health care are misdiagnosis on Laboratory and Clinical In the stagesof pre-analysis, analysis and post-analysis (laboratory diagnosis), disease diagnosis, drug prescription,surgery (clinical diagnosis). Although Laboratory analyses are crucial for diagnosis,and even they have a decisive role in medicine and are effective on decisions follow-up andtreatment decisions, Anecdotal evidence from laboratory experts indicates that the laboratory hasa prominent role in health care and laboratory results influence up to ۷۰% of medical decisions Oreven though the annual costs of the laboratory include less than ۲% of all health care costs, thatis, laboratory diagnosis offers high clinical value at a relatively low cost, but High error rates withserious significances are most likely to occur in different detection units. In this study, we assessedartificial intelligence and reduction of medical errors in laboratory diagnosis.Method: By reviewing and studying the articles available in reliable search engines such as PubMed,Google Scholar in the field of artificial intelligence and laboratory diagnosis in medicine,valid articles in the field of medical errors and the areas of reducing them with the automation ofdiagnosis and the use of artificial intelligence.Results: Artificial intelligence helps in the processing of Medical data and provides medical professionalswith important insights in all fields of medicine. The most common roles of AI in medicalsettings are laboratory-clinical decision support and imaging analysis. Clinical decision supporttools help healthcare providers make decisions about treatments, medications, mental health,and other patient needs by providing quick access to patient-relevant information or research. Thepurpose of this study is to investigate ways to reduce medical errors in laboratory diagnosis withthe help of artificial intelligence.Conclusion: By providing the necessary infrastructure for the combination of artificial intelligenceand automated diagnosis in medical diagnosis laboratories, medical errors, slow diagnosis,high costs and limited services will be replaced by high accuracy and speed, cheapening of costsand widespread medical diagnosis.

کلیدواژه ها:

Artificial intelligence ، Medical error ، Laboratory diagnosis ، Automatic analysis