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SUMMARY:Summer 2026 AI in HealthCare: Leadership Essentials – Fundamentals
DESCRIPTION:ACHE of North Texas is excited to be partnering with the ACHE Southeast Texas Chapter to offer you this special opportunity! \nEarn a certificate\, a digital badges\, and up to 20 hours of qualifying ACHE credits in an increasingly valuable area with this program – “AI in Healthcare: Leadership Essentials– Fundamentals”.  GREAT VALUE!\nThis comprehensive AI in Healthcare virtual course\, taught by a faculty of experts\, is designed for healthcare administrators and emerging leaders seeking to understand and guide the integration of artificial intelligence across their organizations. AI has a rapidly expanding influence on clinical operations\, administrative efficiency\, and patients outcomes. This course equips participants with the knowledge to improve long-term strategic direction and lead confidently in an AI-driven healthcare environment. This course will employ a combination of foundational instruction\, hands on application\, and cohort based didactic sessions to give participants a deeper understanding of AI terminology\, data and infrastructure requirements\, risk management\, governance\, and implementation strategy. The course consists of 10 virtual sessions (Thursdays from 6:30-8:30PM CT starting July 23rd\, 2026) and will result in participants constructing their own AI implementation plan tailored to the use case they selected. By the end of this course\, participants will be prepared to evaluate\, design\, and oversee AI initiatives within their organizations. They will emerge capable of navigating the operational\, technical\, regulatory\, and ethical complexities of AI in healthcare. \nThroughout the course\, participants will:\n\nGain a clear understanding of core AI concepts\, terminology\, and technologies and how they apply within healthcare settings.\nIdentify\, assess\, and prioritize AI use cases that address meaningful organizational challenges and strategic opportunities.\nAnalyze real-world AI applications in healthcare to understand impact\, feasibility\, ROI\, and key success factors.\nDevelop a comprehensive business case for a selected AI initiative\, including problem definition\, value proposition\, ROI modeling\, and stakeholder alignment.\nEvaluate data readiness\, technical infrastructure needs\, and integration requirements to support effective AI deployment.\nAssess and mitigate clinical\, ethical\, regulatory\, operational\, and organizational risks associated with AI adoption.\nCreate a full implementation roadmap and governance strategy—including milestones\, communication plans\, and change management—to support responsible and successful AI adoption within their organization.\n\nTopics covered include:\n\nFoundational AI concepts\, terminology\, and healthcare-specific applications\nIdentifying\, evaluating\, and prioritizing AI use cases within healthcare organizations\nReal-world examples of successful AI implementations and their impact on quality\, efficiency\, and ROI\nBusiness case development for AI initiatives\, including value definition\, cost considerations\, and stakeholder alignment\nData readiness\, interoperability\, infrastructure requirements\, and vendor assessment\nClinical\, ethical\, regulatory\, operational\, and organizational risks associated with AI\nGovernance models\, oversight structures\, and strategies for responsible AI adoption\nChange management\, communication planning\, and leadership strategies for successful implementation\nDevelopment of a complete AI implementation plan and actionable roadmap\n\nClick HERE to see the Spring 2026 course agenda. The Summer 2026 agenda will be available soon!\nMeet Our Summer 2026 Instructors!\nPRICING INFO:\n$450 => ACHE Member\n$650 => Non-member ($200 rebate if you join ACHE!)\n$250 => ACHE Student Member or Early Careerist ACHE Member \n*Please note that we will verify ACHE membership if registering as such. \n  \nRegister Here\n 
URL:https://achentx.org/event/summer-2026-ai-in-healthcare-leadership-essentials-fundamentals/2026-07-23/
LOCATION:Virtual
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