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Stud Health Technol Inform ; 300: 135-148, 2022 Oct 26.
Article in English | MEDLINE | ID: covidwho-2089734

ABSTRACT

OBJECTIVES: To clarify the views of the general population of two countries (US and Japan), concerning handling of their medical records electronically, disclosure of the name of disease, secondary usage of information, compiling their records into a lifelong medical record, access to their medical records on the internet, questionnaire filling for delicate history, comprehensive consent for laboratory results, chart and genome profile, and AI use in diagnosis and explanation. METHODS: The authors contacted people nationwide in the United States at random via Random Digit Dialing (RDD) in 2008. Same questionnaire plus some new items were surveyed in 2022 by mail invited web entry. The authors had also surveyed people in Japan in 2007 and 2017 using same questionnaires sent by mail. RESULTS: In US, accessing own chart by internet became accepted (positive 52% to 61%) and popular in these 14 years. Japan showed small change, as regional medical record sharing is yet to come. About medical records in un-identifiable manner to be used for the purpose of medical error precautions, infectious disease measures and device/drug developments, in US, positive answers are constantly low, even for infectious disease prevention like CoVID-19. About preference to compile medical record into one file as a lifelong medical record, sharp contrast was observed. US people became favor of lifelong record (46% to 71%), while Japanese people decreased (76% to 57%). As for comprehensive consent, Japan positive answers are more than US for all situations, except if genome profile is included. US answers are almost same, even genome profile is included. About AI (artificial intelligence) application to healthcare, both US and Japan survey showed best preferred is "Doctor may use AI and everything, and explains in person". Japanese people largely prefer explanation in person, while US showed small preference.


Subject(s)
Artificial Intelligence , COVID-19 , Humans , United States , Japan/epidemiology , COVID-19/epidemiology , Attitude , Surveys and Questionnaires , Electronics
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