{"id":482,"date":"2021-09-07T09:00:08","date_gmt":"2021-09-07T13:00:08","guid":{"rendered":"https:\/\/werobot2021.com\/?p=482"},"modified":"2021-09-14T10:51:30","modified_gmt":"2021-09-14T14:51:30","slug":"diverse-patient-perspectives-on-the-role-of-ai-and-big-data-in-healthcare","status":"publish","type":"post","link":"https:\/\/robots.law.miami.edu\/2021\/diverse-patient-perspectives-on-the-role-of-ai-and-big-data-in-healthcare\/","title":{"rendered":"Diverse Patient Perspectives on the Role of AI and Big Data in Healthcare"},"content":{"rendered":"<div id=\"attachment_483\" style=\"width: 163px\" class=\"wp-caption alignleft\"><img aria-describedby=\"caption-attachment-483\" decoding=\"async\" loading=\"lazy\" class=\" wp-image-483\" src=\"https:\/\/werobot2021.com\/wp-content\/uploads\/2021\/08\/Kelly-Bergstrand-300x221.jpg\" alt=\"\" width=\"153\" height=\"113\" srcset=\"https:\/\/robots.law.miami.edu\/2021\/wp-content\/uploads\/2021\/08\/Kelly-Bergstrand-300x221.jpg 300w, https:\/\/robots.law.miami.edu\/2021\/wp-content\/uploads\/2021\/08\/Kelly-Bergstrand.jpg 339w\" sizes=\"(max-width: 153px) 100vw, 153px\" \/><p id=\"caption-attachment-483\" class=\"wp-caption-text\">Kelly Bergstrand<\/p><\/div>\n<p style=\"text-align: justify;\"><a href=\"https:\/\/mentis.uta.edu\/explore\/profile\/kelly%20-bergstrand\">Kelly Bergstrand<\/a>,\u00a0<a href=\"https:\/\/law.arizona.edu\/jessica-d-findley\" target=\"_blank\" rel=\"noopener\">Jess Findley<\/a>,\u00a0<a href=\"https:\/\/www.bu.edu\/law\/profile\/christopher-robertson\/\" target=\"_blank\" rel=\"noopener\">Christopher Robertson<\/a>,\u00a0<a href=\"https:\/\/bme.engineering.arizona.edu\/faculty-staff\/faculty\/marvin-slepian\" target=\"_blank\" rel=\"noopener\">Marv Slepian<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/cayleybalser\/\">Cayley Balser<\/a>, and <a href=\"https:\/\/law.arizona.edu\/andrew-keane-woods\" target=\"_blank\" rel=\"noopener\">Andrew Woods<\/a> will present their paper, <strong><a href=\"https:\/\/werobot2021.com\/wp-content\/uploads\/2021\/08\/Robertson_et_al_Diverse_Patients_Attitudes.pdf\" target=\"_blank\" rel=\"noopener\">Diverse Patient Perspectives on the Role of AI and Big Data in Healthcare<\/a><\/strong>, on Saturday, September 25th at #werobot 2021.\u00a0<a href=\"https:\/\/www.med.upenn.edu\/apps\/faculty\/index.php\/g275\/p6611681\" target=\"_blank\" rel=\"noopener\">Michelle Johnson<\/a>\u00a0will moderate the 4:30pm \u2013 5:30pm panel on Health Robotics.<\/p>\n<div id=\"attachment_484\" style=\"width: 160px\" class=\"wp-caption alignright\"><img aria-describedby=\"caption-attachment-484\" decoding=\"async\" loading=\"lazy\" class=\" wp-image-484\" src=\"https:\/\/werobot2021.com\/wp-content\/uploads\/2021\/08\/Jess-Findley.jpg\" alt=\"\" width=\"150\" height=\"150\" srcset=\"https:\/\/robots.law.miami.edu\/2021\/wp-content\/uploads\/2021\/08\/Jess-Findley.jpg 250w, https:\/\/robots.law.miami.edu\/2021\/wp-content\/uploads\/2021\/08\/Jess-Findley-150x150.jpg 150w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><p id=\"caption-attachment-484\" class=\"wp-caption-text\">Jess Findley<\/p><\/div>\n<p style=\"text-align: justify;\">Artificial intelligence and big data (AIBD) are being used to find tumors in chest images, to regulate implanted devices, and to select personalized courses of care. Such new technologies have the potential to transform healthcare. But it is also unclear how these technologies will affect the doctor-patient relationship.<\/p>\n<div id=\"attachment_485\" style=\"width: 156px\" class=\"wp-caption alignleft\"><img aria-describedby=\"caption-attachment-485\" decoding=\"async\" loading=\"lazy\" class=\" wp-image-485\" src=\"https:\/\/werobot2021.com\/wp-content\/uploads\/2021\/08\/Christopher-Robertson.jpg\" alt=\"\" width=\"146\" height=\"146\" srcset=\"https:\/\/robots.law.miami.edu\/2021\/wp-content\/uploads\/2021\/08\/Christopher-Robertson.jpg 250w, https:\/\/robots.law.miami.edu\/2021\/wp-content\/uploads\/2021\/08\/Christopher-Robertson-150x150.jpg 150w\" sizes=\"(max-width: 146px) 100vw, 146px\" \/><p id=\"caption-attachment-485\" class=\"wp-caption-text\">Christopher Robertson<\/p><\/div>\n<p style=\"text-align: justify;\">Prior research suggests that patients\u2019 trust in their physicians is an essential component of effective healing, but research also shows lower trust among Black, Hispanic, and Native American patients. Moreover, prior research suggests broad public skepticism about computer agents, which appears especially salient in under-served and marginalized communities. These groups may be concerned that the AIBD systems will be biased against them, however research also shows race biases amongst human providers.<\/p>\n<div id=\"attachment_486\" style=\"width: 149px\" class=\"wp-caption alignleft\"><img aria-describedby=\"caption-attachment-486\" decoding=\"async\" loading=\"lazy\" class=\" wp-image-486\" src=\"https:\/\/werobot2021.com\/wp-content\/uploads\/2021\/08\/Marv-Slepian.jpg\" alt=\"\" width=\"139\" height=\"195\" \/><p id=\"caption-attachment-486\" class=\"wp-caption-text\">Marv Slepian<\/p><\/div>\n<p style=\"text-align: justify;\">Ultimately, patient bias against computer-aided decisions may cause adverse health outcomes, where automated systems are actually more accurate and less biased. These facts could make effective disclosure of AIBD\u2019s role in treatment material to securing patient consent and especially so with diverse patient populations. Our study examines diverse patient populations\u2019 views about automated medicine. Our project has qualitative and quantitative phases. In the qualitative phase, we have conducted structured interviews with 20 patients from a range of racial, ethnic, and socioeconomic perspectives, to study understand their reactions to current and future AIBD technologies.<\/p>\n<div id=\"attachment_487\" style=\"width: 145px\" class=\"wp-caption alignright\"><img aria-describedby=\"caption-attachment-487\" decoding=\"async\" loading=\"lazy\" class=\" wp-image-487\" src=\"https:\/\/werobot2021.com\/wp-content\/uploads\/2021\/08\/Andrew-Woods.jpg\" alt=\"\" width=\"135\" height=\"135\" srcset=\"https:\/\/robots.law.miami.edu\/2021\/wp-content\/uploads\/2021\/08\/Andrew-Woods.jpg 250w, https:\/\/robots.law.miami.edu\/2021\/wp-content\/uploads\/2021\/08\/Andrew-Woods-150x150.jpg 150w\" sizes=\"(max-width: 135px) 100vw, 135px\" \/><p id=\"caption-attachment-487\" class=\"wp-caption-text\">Andrew Woods<\/p><\/div>\n<p style=\"text-align: justify;\">For the quantitative phase, we have purchased a large (n=2600) and diverse sample of American respondents from YouGov, with oversampling of Black, Hispanic, and Native American populations in particular.<\/p>\n<div id=\"attachment_828\" style=\"width: 158px\" class=\"wp-caption alignleft\"><img aria-describedby=\"caption-attachment-828\" decoding=\"async\" loading=\"lazy\" class=\" wp-image-828\" src=\"https:\/\/werobot2021.com\/wp-content\/uploads\/2021\/09\/Cayley-Balser-300x300.jpg\" alt=\"\" width=\"148\" height=\"148\" srcset=\"https:\/\/robots.law.miami.edu\/2021\/wp-content\/uploads\/2021\/09\/Cayley-Balser-300x300.jpg 300w, https:\/\/robots.law.miami.edu\/2021\/wp-content\/uploads\/2021\/09\/Cayley-Balser-150x150.jpg 150w, https:\/\/robots.law.miami.edu\/2021\/wp-content\/uploads\/2021\/09\/Cayley-Balser-768x768.jpg 768w, https:\/\/robots.law.miami.edu\/2021\/wp-content\/uploads\/2021\/09\/Cayley-Balser.jpg 800w\" sizes=\"(max-width: 148px) 100vw, 148px\" \/><p id=\"caption-attachment-828\" class=\"wp-caption-text\">Cayley Balser<\/p><\/div>\n<p style=\"text-align: justify;\">Our randomized, blinded survey experiments place respondents as mock patients into clinical vignettes, and manipulate whether the physician uses AIBD for diagnosis or treatment of the patient\u2019s condition, whether that fact is disclosed, and how it is communicated to the patient. Importantly, we manipulate the distinction between the physician deferring to versus relying upon (and potentially overriding) the AIBD system.<\/p>\n<div id=\"attachment_478\" style=\"width: 159px\" class=\"wp-caption alignright\"><img aria-describedby=\"caption-attachment-478\" decoding=\"async\" loading=\"lazy\" class=\" wp-image-478\" src=\"https:\/\/werobot2021.com\/wp-content\/uploads\/2021\/08\/Michelle-Johnson.jpg\" alt=\"\" width=\"149\" height=\"200\" \/><p id=\"caption-attachment-478\" class=\"wp-caption-text\">Michelle Johnson (moderator)<\/p><\/div>\n<p style=\"text-align: justify;\">Our findings will be useful for the development of theory-based and evidence-driven recommendations for how physicians and patients might integrate AIBD into the informed consent process. We suspect that the era of AIBD may change what it means to be a human physician, as expertise gives way to an ambassadorial function, between the human patients and the expert systems.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Kelly Bergstrand,\u00a0Jess Findley,\u00a0Christopher Robertson,\u00a0Marv Slepian, Cayley Balser, and Andrew Woods will present their paper, Diverse Patient Perspectives on the Role of AI and Big Data in Healthcare, on Saturday, September 25th at #werobot 2021.\u00a0Michelle Johnson\u00a0will moderate the 4:30pm \u2013 5:30pm panel on Health Robotics. Artificial intelligence and big data (AIBD) are being used to find [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_jetpack_memberships_contains_paid_content":false,"jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false}}},"categories":[3],"tags":[],"jetpack_publicize_connections":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Diverse Patient Perspectives on the Role of AI and Big Data in Healthcare - We Robot 2021<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/robots.law.miami.edu\/2021\/diverse-patient-perspectives-on-the-role-of-ai-and-big-data-in-healthcare\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Diverse Patient Perspectives on the Role of AI and Big Data in Healthcare - We Robot 2021\" \/>\n<meta property=\"og:description\" content=\"Kelly Bergstrand,\u00a0Jess Findley,\u00a0Christopher Robertson,\u00a0Marv Slepian, Cayley Balser, and Andrew Woods will present their paper, Diverse Patient Perspectives on the Role of AI and Big Data in Healthcare, on Saturday, September 25th at #werobot 2021.\u00a0Michelle Johnson\u00a0will moderate the 4:30pm \u2013 5:30pm panel on Health Robotics. 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