Andrew Brackenbury’s Post

A great read in this Harvard Business Review "AI Adoption in U.S. Health Care Won’t Be Easy" The challenges encountered by AI adoption in healthcare, it becomes apparent that the U.S. healthcare industry often struggles with the integration of new technologies, and AI is similarly affected. AI has the potential to transform healthcare in numerous ways, yet its adoption has progressed slowly, hindered by various transition-related difficulties. https://lnkd.in/gCbMW3WP

Excited to share that I've enrolled in the "AI in Health Care: From Strategies to Implementation" program at Harvard Medical School. This course will deepen my understanding of how AI can transform healthcare delivery, and I'm looking forward to applying these insights to enhance patient care and innovation in the field. #HarvardMedicalSchool #AIinHealthcare #LifelongLearning #HealthcareInnovation#keeplearning

Excited to share that I've enrolled in the "AI in Health Care: From Strategies to Implementation" program at Harvard Medical School. This course will deepen my understanding of how AI can transform healthcare delivery, and I'm looking forward to applying these insights to enhance patient care and innovation in the field. #HarvardMedicalSchool #AIinHealthcare #LifelongLearning #HealthcareInnovation#keeplearning

Navigating AI's Complex Path in Healthcare! From enhancing patient care to easing paperwork burdens, AI's potential is vast. Yet, the challenges and considerations involved in integrating AI into the healthcare system should be considered. A call to action for healthcare leaders, policymakers, and technologists to work collaboratively to overcome these challenges and realize the full benefits of AI for patients and providers alike. https://lnkd.in/eFNBazVc

I like the idea of proactively mapping the bias that will infiltrate your AI product. As a designer I think about how this might be an early activity collaborator done by owners and stakeholder of AI effort. #Aiforall #designAIforhumans

Health equity is a primary goal of healthcare stakeholders: patients and their advocacy groups, clinicians, other providers and their professional societies, bioethicists, payors and value based care organizations, regulatory agencies, legislators, and creators of #artificialintelligence/#machine learning (#AI/ML)-enabled medical devices. Lack of #equitable access to diagnosis and treatment may be improved through new #digitalhealth technologies, especially AI/ML, but these may also exacerbate disparities, depending on how #bias is addressed. The paper proposed an expanded Total Product Lifecycle (TPLC) framework for healthcare AI/ML, describing the sources and impacts of undesirable bias in AI/ML systems in each phase, how these can be analyzed using appropriate metrics, and how they can be potentially mitigated. The goal of the considerations is to educate stakeholders on how potential AI/ML bias may impact healthcare outcomes and how to identify and mitigate #inequities; to initiate a discussion between stakeholders on these issues in order to ensure health equity along the expanded AI/ML TPLC framework, and ultimately, better health outcomes for all. This paper provides a comprehensive framework for understanding and mitigating bias in healthcare AI/ML systems. It offers actionable insights for stakeholders, including healthcare providers, ethicists, and AI developers, to ensure that these technologies are equitable and beneficial for all. Abràmoff, M.D., Tarver, M.E., Loyo-Berrios, N. et al. Considerations for addressing bias in artificial intelligence for health equity. npj Digit. Med. 6, 170 (2023). DOI: 10.1038/s41746-023-00913-9 Link to paper: https://buff.ly/3Qu3DPe #digitaladoption #healthequity #inclusivehealth #healthtechnologies #aihealth #aitechnology

How AI Can Help Solve the Current Healthcare Crisis We have a serious crisis in health care right now. Over the years, the number of clinicians has been declining, and at the same time, our aging population requires more and more care. There will be all kinds of science that will help; new pharmaceuticals and scientific innovations will be available to help us detect disease earlier, but for the next few years, this will be an ongoing problem. Many of you have probably experienced it already—it can take you months to get in to see a specialist, and then you may initially see a gatekeeper for the specialist. This is a widespread problem, and it will only get worse. A problem we have faced for years is clinicians operating below their license. They perform administrative and documentation tasks, which take between 15 and 30% of every clinician's time. One of the first ways in which AI can have a positive effect on healthcare is by taking over those tasks. We may need to become accustomed to having a preliminary diagnosis through AI assistance. The second connection is through personalization. That will not happen overnight, but we will never get there if we don't have AI to help us. Personalized medicine jumps over the disparity problem because it is driven to the individual. Because you can produce it more economically, it will be one of the solutions to the disparity. #potentialist #thepotentialist #innovation #personaldevelopment #growthmindset #futureplanning #prepareforfuture #AIinHealthcare #HealthcareAI #FutureofHealthcare #HealthcareInnovation #MedicalTechnology

Throughout my healthcare journey, two glaring issues have stood out: 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗰𝗼𝘀𝘁𝘀 𝗮𝗿𝗲 𝘀𝗼𝗮𝗿𝗶𝗻𝗴 𝘁𝗼 𝘂𝗻𝘀𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗹𝗲𝘃𝗲𝗹𝘀, 𝗮𝗻𝗱 𝘁𝗵𝗲𝗿𝗲'𝘀 𝗮 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝘀𝗵𝗼𝗿𝘁𝗮𝗴𝗲 𝗼𝗳 𝗽𝗵𝘆𝘀𝗶𝗰𝗶𝗮𝗻𝘀. These challenges demand immediate and decisive action. While many are excited about artificial intelligence's upcoming rise in the clinical setting, there are many foundational steps to deploy these technologies in a scalable, ethical, and safe way. I am genuinely excited about what is ahead of us regarding innovation in the healthcare space in combination with AI; nevertheless, navigating change management, procurement, and deployment of these new technologies is a titanic task that requires a new way of thinking and more important a better way to capture tangible ROI. #healthcare #ai Providence Providence 4SITE MedPearl Jessica Schlicher MD, MBA Nathan Schlicher, MD, JD, MBA Sara Vaezy Robert Fearn Toyin Falola, MD Sherene Schlegel Nicole Williams Wasif Jamal Adar Palis Ivette de Rubens Adam Zoller Chris Briggs Eve Cunningham MD MBA

𝐒𝐭𝐮𝐝𝐲 𝐢𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐞𝐬 𝐜𝐨𝐬𝐭-𝐞𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 𝐟𝐨𝐫 𝐮𝐬𝐢𝐧𝐠 𝐀𝐈 𝐢𝐧 𝐡𝐞𝐚𝐥𝐭𝐡 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 A new study reveals cost-effective AI strategies for health systems. These strategies aim to optimize patient care while reducing operational costs. AI enhances diagnosis accuracy, streamlines workflows, and improves resource allocation. It ensures equitable healthcare access by identifying underserved populations. The research highlights AI's role in managing chronic diseases efficiently. Early intervention powered by AI reduces hospital admissions and improves outcomes. Scalable AI solutions address budget constraints faced by healthcare providers globally. Collaboration between AI developers and clinicians ensures ethical and practical applications. By integrating AI thoughtfully, health systems can balance innovation and affordability. This approach promises a future of accessible, high-quality healthcare for all. #AIInHealthcare #HealthTech #InnovationInHealth #HealthcareEquity #HealthSystemReform #AIResearch #EthicalAI

When it comes to both pressing global issues and deeply personal matters, healthcare hits closest to home. Yet, according to Reuters, one in five Europeans reports having unmet healthcare needs, with reasons varying from geographical and health literacy barriers to financial hardship and racial bias. Suffice to say, there is a huge amount of interest and enthusiasm about the potential for AI to turbocharge how healthcare is delivered, expanding the life chances of billions. At AIBODY, we're revolutionizing healthcare by harnessing the power of AI to create a future where everyone has access to accurate, efficient, and affordable medical care. https://lnkd.in/gTznmNe3