{"id":2018,"date":"2026-01-22T12:11:32","date_gmt":"2026-01-22T10:11:32","guid":{"rendered":"https:\/\/e-sensia.com\/?p=2018"},"modified":"2026-02-04T13:43:09","modified_gmt":"2026-02-04T11:43:09","slug":"artificial-intelligence-health-voice-regulation-emergencies","status":"publish","type":"post","link":"https:\/\/e-sensia.com\/fr\/2026\/01\/22\/artificial-intelligence-health-voice-regulation-emergencies\/","title":{"rendered":"R\u00e9capitulation de l'intervention du Dr. Jean-Baptiste Perney \u00e0 l'Universit\u00e9 d'hiver de la FNEHAD"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"2018\" class=\"elementor elementor-2018\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-33f846ff e-flex e-con-boxed e-con e-parent\" data-id=\"33f846ff\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-17d41813 elementor-widget elementor-widget-text-editor\" data-id=\"17d41813\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"flex flex-col text-sm\"><article class=\"text-token-text-primary w-full focus:outline-none [--shadow-height:45px] has-data-writing-block:pointer-events-none has-data-writing-block:-mt-(--shadow-height) has-data-writing-block:pt-(--shadow-height) [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-69832811-7f68-8388-8107-4b26a16aa68c-12\" data-testid=\"conversation-turn-70\" data-scroll-anchor=\"true\" data-turn=\"assistant\"><div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:--spacing(4)] @w-sm\/main:[--thread-content-margin:--spacing(6)] @w-lg\/main:[--thread-content-margin:--spacing(16)] px-(--thread-content-margin)\"><div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\"><div class=\"flex max-w-full flex-col grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"506ce67e-37fa-4f16-bb58-0f1130530891\" data-message-model-slug=\"gpt-4o-mini\"><div class=\"flex w-full flex-col gap-1 empty:hidden first:pt-[1px]\"><div class=\"markdown prose dark:prose-invert w-full wrap-break-word dark markdown-new-styling\"><p data-start=\"32\" data-end=\"193\">At the FNEHAD Winter University, <strong>Dr. Jean-Baptiste Perney<\/strong>, co-founder of <strong>e-sensia<\/strong>, spoke to share his experience using voice AI in emergency call regulation.<\/p><p data-start=\"195\" data-end=\"367\" data-is-last-node=\"\" data-is-only-node=\"\">His speech was part of a broader discussion on the role of artificial intelligence in healthcare, with a particular focus on a central element of emergency care: <strong>listening<\/strong>.<\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/article><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-106c90a elementor-widget elementor-widget-html\" data-id=\"106c90a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<iframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/hy8OclSvP6k?si=4qFeRkcr4RpRHNbU&amp;start=1930\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6c92184 e-flex e-con-boxed e-con e-parent\" data-id=\"6c92184\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0423fdb elementor-widget elementor-widget-heading\" data-id=\"0423fdb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Voice as a Medical Signal<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-344030c elementor-widget elementor-widget-text-editor\" data-id=\"344030c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-start=\"32\" data-end=\"143\">In medical regulation, the analysis is not only based on the words spoken, but also on <strong>how they are spoken.<\/strong><\/p><p data-start=\"145\" data-end=\"285\">Breathing, intonation, vocal effort, and even pauses are among the signals that healthcare professionals learn to interpret with experience.<\/p><p data-start=\"287\" data-end=\"590\" data-is-last-node=\"\" data-is-only-node=\"\">This clinical intuition, built through listening, is a cornerstone of medical reasoning in emergency situations. The challenge, therefore, is not just to process verbal content, but to analyze <strong>the sound and manner of speaking<\/strong>, which are key elements in assessing the severity and urgency of a situation.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2ac45a3 elementor-widget elementor-widget-heading\" data-id=\"2ac45a3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Regulating means deciding quickly and accurately<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fbd2e22 elementor-widget elementor-widget-text-editor\" data-id=\"fbd2e22\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"flex flex-col text-sm\"><article class=\"text-token-text-primary w-full focus:outline-none [--shadow-height:45px] has-data-writing-block:pointer-events-none has-data-writing-block:-mt-(--shadow-height) has-data-writing-block:pt-(--shadow-height) [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-69832811-7f68-8388-8107-4b26a16aa68c-16\" data-testid=\"conversation-turn-78\" data-scroll-anchor=\"true\" data-turn=\"assistant\"><div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:--spacing(4)] @w-sm\/main:[--thread-content-margin:--spacing(6)] @w-lg\/main:[--thread-content-margin:--spacing(16)] px-(--thread-content-margin)\"><div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\"><div class=\"flex max-w-full flex-col grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"39d7c0a1-66ca-414b-9af1-81e0aa978dd1\" data-message-model-slug=\"gpt-4o-mini\"><div class=\"flex w-full flex-col gap-1 empty:hidden first:pt-[1px]\"><div class=\"markdown prose dark:prose-invert w-full wrap-break-word dark markdown-new-styling\"><p data-start=\"32\" data-end=\"225\">The regulation of emergency calls, whether it concerns SAMU or SOS M\u00e9decins, aims to answer these central questions: <strong>Is it serious? Is it urgent? What care should be directed to the caller?<\/strong><\/p><p data-start=\"227\" data-end=\"285\">In this context, every minute counts. The objective is to:<\/p><ul data-start=\"287\" data-end=\"418\"><li data-start=\"287\" data-end=\"327\"><p data-start=\"289\" data-end=\"327\">Answer calls as quickly as possible,<\/p><\/li><li data-start=\"328\" data-end=\"365\"><p data-start=\"330\" data-end=\"365\">Help detect high-risk situations,<\/p><\/li><li data-start=\"366\" data-end=\"418\"><p data-start=\"368\" data-end=\"418\">Direct each call to the most appropriate response.<\/p><\/li><\/ul><p data-start=\"420\" data-end=\"621\" data-is-last-node=\"\" data-is-only-node=\"\">The voice AI developed by e-sensia aligns with this logic, serving as <strong>a support for human decision-making<\/strong> by providing a <strong>safety<\/strong> net capable of alerting when danger signals are perceptible in the voice.<\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/article><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8aa69f9 elementor-widget elementor-widget-heading\" data-id=\"8aa69f9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Data, Ethics, and Trust<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3b10a7d elementor-widget elementor-widget-text-editor\" data-id=\"3b10a7d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-start=\"32\" data-end=\"90\">The issues related to health data were also discussed.<\/p><p data-start=\"92\" data-end=\"300\">Data quality, ethics, control, and sovereignty are inseparable from the conditions for adopting artificial intelligence in healthcare. Trust is a fundamental prerequisite, both for professionals and patients.<\/p><p data-start=\"302\" data-end=\"445\" data-is-last-node=\"\" data-is-only-node=\"\">Producing traceable data, with controlled origins and uses, is essential for evaluating practices and sustainably improving medical regulation.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-56afa58 elementor-widget elementor-widget-heading\" data-id=\"56afa58\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Better Understanding the Outcome for Patients<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c465d48 elementor-widget elementor-widget-text-editor\" data-id=\"c465d48\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-start=\"32\" data-end=\"173\">Finally, a widely shared limitation was highlighted: after an emergency call, it is often difficult to know the outcome for the patients.<\/p><p data-start=\"175\" data-end=\"284\">However, this information is crucial for assessing the relevance of directions taken and improving practices.<\/p><p data-start=\"286\" data-end=\"507\" data-is-last-node=\"\" data-is-only-node=\"\">In this regard, the importance of evaluation approaches and clinical studies was emphasized, in order to analyze the concrete effects of regulation, always under human control and in compliance with regulatory frameworks.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>At the FNEHAD Winter University, Dr. Jean-Baptiste Perney, co-founder of e-sensia, spoke to share his experience using voice AI in emergency call regulation. His speech was part of a broader discussion on the role of artificial intelligence in healthcare, with a particular focus on a central element of emergency care: listening. Voice as a Medical [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2035,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[8],"tags":[],"class_list":["post-2018","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events-and-conferences"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Recap of Dr. Jean-Baptiste Perney&#039;s Intervention at the FNEHAD Winter University - e-sensia<\/title>\n<meta name=\"description\" content=\"At the FNEHAD Winter University, Dr. Jean-Baptiste Perney reveals how voice AI optimizes emergency calls.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/e-sensia.com\/fr\/2026\/01\/22\/artificial-intelligence-health-voice-regulation-emergencies\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Recap of Dr. Jean-Baptiste Perney&#039;s Intervention at the FNEHAD Winter University - 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