[Music] Let me take you to the hospital of the future. A place where artificial intelligence is fully integrated with the care you receive. Where it monitors a baby's first breath or it tracks the rhythm of a patient's heart in the ICU.Where it amplifies, not replaces the voices of doctors. Sounds pretty cool, right. Well, I'm here to tell you this isn't the future.It's happening today. And it's happening at that intersection we talked about of artificial intelligence and medicine. Good afternoon.My name is ...

Healthcare Disparities & Advocacy - The healthcare industry needs to recognize and address the unique needs of patients with disabilities to avoid misinformed decisions and improve quality of care [3][7][8] - Negative assumptions about patients with disabilities can affect their care, as evidenced by historical eugenics movements and contemporary rationing plans [10][11] - Documenting disability in medical charts is crucial for healthcare organizations to identify gaps, provide necessary supports (accommodations), and improve care quality [15][16][17] - A study involving 53 primary care clinics in Colorado showed that asking patients about disability-related accommodation needs is feasible and doesn't cause patient complaints [17][18] - The story of "David" highlights the potential for medical teams to misunderstand the value and contributions of patients with disabilities, leading to suboptimal care decisions [1][2][3][4][5][6][7][8][12][13][14][15][20][21][22] Disability Statistics & Awareness - Approximately 27% of adults in the United States have a disability, highlighting the prevalence and importance of addressing their needs [9] - People with disabilities are often described as the "invisible minority," indicating a lack of recognition of their value and contributions [9]

[Music] Today you have heard from our speakers about incredible ways that AI is transforming and refining the way we do our jobs in medicine. It's helping us uh document faster. It's helping us move patients through busy emergency departments. and it's helping us predict outcomes that we might not have seen coming.These tools are powerful and they matter. But they're not the whole story. See, I've been an emergency medicine physician for nearly two decades and I've spent more days than I can count standing ...

Let me ask you, have you ever met just a nurse? Have you ever heard someone say, "I'm just the nurse. " Well, I've been just the nurse for 38 years. I'm here to tell you there is nothing just about it. I'm the oldest of five children in a very traditional family, which is to say, I was the first to think of going off to college. So, one day, my dad and I were having a serious conversation about what career I envisioned for myself and what future I thought I might have. You see, I had it narrowed down to law ...

Healthcare Challenges & Opportunities - AI in healthcare aims to augment human intelligence, not replace it, utilizing technologies like machine learning and natural language processing [4][5] - The healthcare industry faces challenges including information overload, clinician burnout, and wasteful spending, with 20% of costs considered wasteful and significant expenses related to billing and administration [8][10][11] - AI can improve diagnosis using image recognition, reduce documentation burden through automated note-taking, and enhance hospital flow by triaging patients and allocating resources [12][13][15] AI Adoption & Concerns - AI adoption in healthcare follows the Gartner hype cycle, with image recognition already productive but disease treatment and behavioral health still facing inflated expectations and disillusionment [6][7] - There is existing bias against AI-generated medical advice, with people finding it less reliable and empathetic compared to advice from human doctors [16][17] - Legal and ethical questions arise regarding data ownership, liability for incorrect AI advice, and potential loss of trust in manual processes due to AI involvement [18][19] - Bias can be built into AI systems through problem selection, data collection methods, and inherent assumptions, potentially leading to skewed outcomes [21] Future Vision - The future vision involves AI-powered wearable devices that can detect health issues, alert emergency services, and transmit vital information to hospitals, improving patient care and outcomes [22][23][24][25]