John Snow Labs’ Post

Can government and industry solve racial bias in AI? - Healthcare IT news #Can government and industry solve racial bias in AI? #Introduction Racial bias in artificial intelligence (AI) has become a growing concern in the healthcare industry. This blog post explores whether government and industry can work together to address and solve this issue. #The impact of racial bias in AI Racial bias in AI can have significant consequences in healthcare, including disparities in diagnosis and treatment. It can lead to unequal access to care and perpetuate existing healthcare disparities among different racial and ethnic groups. #Government regulations and policies Government regulations and policies can play a crucial role in addressing racial bias in AI. They can establish guidelines and standards for AI development, implementation, and evaluation to ensure fairness and equity in healthcare. #Industry responsibility The healthcare ai.mediformatica.com #health #healthcare #data #government #algorithms #healthit #news #patients #artificialintelligence #healthcareit #intelligence #learning #digitalhealth #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/4arkkmn)

A survey conducted by John Snow Labs and Gradient Flow reveals that healthcare practitioners are increasingly adopting Generative AI (GenAI), with significant budget increases across the board. Custom-built, healthcare-specific language models are favored, and common use cases include medical chatbots, transcribing doctor-patient conversations, and answering patient questions. Key priorities include accuracy, security, and privacy, with a "human-in-the-loop" approach to ensure fairness and transparency. Challenges to GenAI adoption in healthcare include a lack of accuracy, legal/reputational risks, and cost for smaller companies. https://lnkd.in/eb-WxP_D #healthcare #healthcareai #healthcareit #ai #genai

Inaccurate information and AI significantly affect patients and staff during care delivery or when care is overlooked! This may stem from guidance provided at the point of care, broader organizational processes, or research findings impacting specific patient groups. It's essential to keep this in mind throughout all phases of designing, implementing, and using health records. These data reflect our workforce and those we serve, necessitating that the systems we create are not only efficient but also accessible, inclusive, and devoid of biases. #HealthTech #DigitalInnovation #FutureOfHealthcare #Elsevier #elsevierlife #AI #patientcare

This transformative conversation between MobiHealthNews and Anita Mahon, Executive VP and Global Head of Healthcare at EXL, sheds light on the diverse application of #GenerativeAI in #Healthcare and its emerging potential. Key Takeaways: 🔸 Generative AI is is aiding in clinical documentation to introducing innovative research paradigms. 🔸 EXL, a forerunner in global analytics and digital solutions, plays a pivotal role in assisting healthcare players understand data integration within their Large Language Models (LLMs) for best business practices. 🔸 Individuality is crucial! The power of generative AI can only be harnessed effectively when tailored to individual nuances. 🔸 There’s a need to eliminate data biases in generative AI to avoid exacerbating healthcare disparities. 🔸 An inherent challenge with AI in healthcare is ensuring data fidelity and avoiding unintended repercussions. Read the full conversation: https://lnkd.in/ezKBEKtQ #GenerativeAI #HealthcareInnovation #DataAnalytics #AIChallenges

This transformative conversation between MobiHealthNews and Anita Mahon, Executive VP and Global Head of Healthcare at EXL, sheds light on the diverse application of #GenerativeAI in #Healthcare and its emerging potential. Key Takeaways: 🔸 Generative AI is is aiding in clinical documentation to introducing innovative research paradigms. 🔸 EXL, a forerunner in global analytics and digital solutions, plays a pivotal role in assisting healthcare players understand data integration within their Large Language Models (LLMs) for best business practices. 🔸 Individuality is crucial! The power of generative AI can only be harnessed effectively when tailored to individual nuances. 🔸 There’s a need to eliminate data biases in generative AI to avoid exacerbating healthcare disparities. 🔸 An inherent challenge with AI in healthcare is ensuring data fidelity and avoiding unintended repercussions. Read the full conversation: https://lnkd.in/gSak2ZSC #GenerativeAI #HealthcareInnovation #DataAnalytics #AIChallenges

WATCH | "What is the future of AI in health centers?" Roundtable 🖥 https://lnkd.in/gHRZvkRb With artificial intelligence (AI) catapulting new forms of large language models and machine learning to the forefront particularly in healthcare, this rapid rise forces health centers to grapple with the possibilities AI offers 🤔: ▶ What is the right fit for our health center? ▶ How it can be equitably adopted? ▶ What can be lost? There are key considerations for those in the safety net, in patient facing roles, and with limited resources. Check out this HITEQ Center "On the Horizon" session which encouraged participants to think through all of this and more. You'll leave with a set of questions to be addressed before launching AI in your health center! ___ #artificialintelligence #AI #healthcenters #healthcare #patientengagement #healthinformationexchange #digitaltools #EHR #dataliteracy #healthIT #qualityimprovement #EHRimplementation #largelanguagemodels #machinelearning

This transformative conversation between MobiHealthNews and Anita Mahon, Executive VP and Global Head of Healthcare at EXL, sheds light on the diverse application of #GenerativeAI in #Healthcare and its emerging potential. Key Takeaways: 🔸 Generative AI is is aiding in clinical documentation to introducing innovative research paradigms. 🔸 EXL, a forerunner in global analytics and digital solutions, plays a pivotal role in assisting healthcare players understand data integration within their Large Language Models (LLMs) for best business practices. 🔸 Individuality is crucial! The power of generative AI can only be harnessed effectively when tailored to individual nuances. 🔸 There’s a need to eliminate data biases in generative AI to avoid exacerbating healthcare disparities. 🔸 An inherent challenge with AI in healthcare is ensuring data fidelity and avoiding unintended repercussions. Read the full conversation: https://lnkd.in/d6gj9zFR #GenerativeAI #HealthcareInnovation #DataAnalytics #AIChallenges

🔍 In an era where data drives decisions, IQVIA's recent white paper delves into the transformative potential of AI and Machine Learning in clinical trials. It's akin to opening Pandora's Box - full of promise, but with its own set of challenges. While traditional biostatistical methods have their place, the question remains: Are we on the brink of an AI-led revolution in clinical research? 🌟 Key Insights: AI/ML isn't just a trend; it's poised to redefine patient outcomes with its focus on subgroup identification. But, as with any tool, its true value lies in its application. How do we ensure it's a game-changer and not just another industry buzzword? Adaptive design, backed by AI, promises efficiency. Yet, in our pursuit of innovation, we must ponder: Are we sidelining the invaluable human touch in clinical research? 🤔 To all my peers across roles: As we stand at this crossroads, it's imperative we don't merely embrace change but critically evaluate it. After all, the essence of clinical research lies not just in innovation but in its alignment with our core values and ethics. https://lnkd.in/d9JUNpXc #ClinicalResearchInnovation #AIMLInHealthcare #AdaptiveDesign #PatientCentricity #FutureOfTrials

This transformative conversation between MobiHealthNews and Anita Mahon, Executive VP and Global Head of Healthcare at EXL, sheds light on the diverse application of #GenerativeAI in #Healthcare and its emerging potential. Key Takeaways: 🔸 Generative AI is is aiding in clinical documentation to introducing innovative research paradigms. 🔸 EXL, a forerunner in global analytics and digital solutions, plays a pivotal role in assisting healthcare players understand data integration within their Large Language Models (LLMs) for best business practices. 🔸 Individuality is crucial! The power of generative AI can only be harnessed effectively when tailored to individual nuances. 🔸 There’s a need to eliminate data biases in generative AI to avoid exacerbating healthcare disparities. 🔸 An inherent challenge with AI in healthcare is ensuring data fidelity and avoiding unintended repercussions. Read the full conversation: https://lnkd.in/e-BbrdGw #GenerativeAI #HealthcareInnovation #DataAnalytics #AIChallenges

This transformative conversation between MobiHealthNews and Anita Mahon, Executive VP and Global Head of Healthcare at EXL, sheds light on the diverse application of #GenerativeAI in #Healthcare and its emerging potential. Key Takeaways: 🔸 Generative AI is is aiding in clinical documentation to introducing innovative research paradigms. 🔸 EXL, a forerunner in global analytics and digital solutions, plays a pivotal role in assisting healthcare players understand data integration within their Large Language Models (LLMs) for best business practices. 🔸 Individuality is crucial! The power of generative AI can only be harnessed effectively when tailored to individual nuances. 🔸 There’s a need to eliminate data biases in generative AI to avoid exacerbating healthcare disparities. 🔸 An inherent challenge with AI in healthcare is ensuring data fidelity and avoiding unintended repercussions. Read the full conversation: https://lnkd.in/gcY5kQ24 #GenerativeAI #HealthcareInnovation #DataAnalytics #AIChallenges