Brett Daniel, MD MHA’s Post

Back in 2022, when the current breathless phase of AI hype kicked off, Forbes Magazine published an article on AI bias called "AI is a Mirror, not a Master": "'We have this incredible opportunity with AI, because of the way it’s trained to look at ourselves and our society. AI is a mirror, not a master,' says [Internet Legend Tim] O’Reilly... The bias is in society, not in the algorithms." This is as important to remember as ever. Generative AI, as we currently understand this term in our culture, has no moral valence. It is neither good nor bad, virtuous nor evil. To stretch the mirror analogy a bit further, what matters is what the mirror is aimed at. If you aim it at historical arrest records to predict future crimes, you will end up overpolicing minority populations who have been subject to excess police violence throughout history. If you aim it at If you aim it at fantasy artwork you can generate some sick airbrush paintings for the side of your econoline van. I'm thinking about this again because of two recent stories. One story (https://lnkd.in/gXKvSshq) describes how insurers are using AI to increase denial of coverage claims amongst poor and elderly Medicare recipients. The other story (https://lnkd.in/gvCpH3pU) describes how researchers at Stanford University's Regulation, Evaluation, and Governance Lab (RegLab) used an LLM to identify and redact thousands of racist covenants in Santa Clara County deeds -- saving the county 98% compared to the cost of manual evaluation. In both of these cases, the AI user aimed it at a large dataset of written language to look for exceptions and handle them. Functionally the same... but with drastically different societal outcomes. As with any emerging tech, I believe the first thing you have to ask with AI isn't "what can we do?" but rather "why do we need to do it?" Is your implementation making life better for your coworkers, your company, your community, or the world?

The article from Healthcare Dive discusses how AI is being utilized by payers and providers to review healthcare claims. AI is seen as a tool to streamline the claims process, reduce administrative burdens, and improve accuracy. The technology helps in identifying patterns and anomalies that might indicate fraud or errors, thereby enhancing efficiency and cost-effectiveness in claims management. The integration of AI into claims review is part of a broader trend of adopting advanced technologies in healthcare to optimize operations and patient care. https://lnkd.in/e6vwrw7t #healthcare #healthcareinnovation #healthcareit #healthcareai #ai #genai #generativeai #HealthcareProviders #HealthcareClaims

Although #AI can make doctors' lives easier by automating administrative tasks, assisting with diagnostics, streamlining workflows, and personalizing care, the information and communication to #patients needs to be unquestionable. #AI models must be continuously updated with real-world data, adhere to evidence-based practices, and leave final decision-making in the hands of the clinician. By combining AI’s computational power with human oversight, only then can #AI enhance the efficiency and quality of #patientcare without compromising accuracy.

New Publication Alert! I’m excited to share my latest article, “All Health Care Problems Are Data Problems,” published in Medical Economics. In it, I dive into the critical role that data plays in solving some of the most pressing challenges in healthcare today. From improving patient outcomes to enhancing operational efficiency, it’s clear that transforming data into actionable insights is key to the future of healthcare. Check it out here! ⬇️ https://lnkd.in/geE2xbwK #HealthCare #DataScience #AI #Innovation #PatientCare #HealthTech

X While moving to a value-based health care system sounds like a no-brainer on paper, the transition can be challenging for health care organizations — especially when it comes to managing costs associated with such a switch. This is where artificial intelligence (AI) and big data come into play. By harnessing the power of cutting-edge technologies, AI-driven systems are helping make value-based care models more accessible. They can enhance diagnostic accuracy and streamline operations, ultimately improving the quality of care, all while keeping treatment costs in check.

#PhysicianRevenue their #MedicalPracticeManagement, #PracticeOptimization and #QualityofPatientCare, will be affected by #AI technology. It is vital for #IndependentPhysicians to become comfortable with such tools as they will not only contribute to their #RevenueGrowth but also improve patient care and ultimately contribute to their #MedicalPractice success. https://lnkd.in/gaqp9Euv

The Centers for Medicare & Medicaid Services (CMS) has announced several proposed rules for 2026, including new regulatory guidance on the use of AI in healthcare. CMS aims to revise provisions to ensure that the application of AI does not lead to inequitable treatment or bias within the healthcare system. Link here: https://lnkd.in/erJSccmx The revised guidelines will require Medicare Advantage plans to provide services equitably, regardless of whether human or automated systems deliver them. No discrimination based on factors related to an enrollee’s health status will be permitted. Let Guidehouse help your organization navigate the regulatory landscape and provide guidance around this AI expansion. #CMS #Medicare #HealthcareAI #MedicareAdvantage #HealthEquity #AIRegulations #HealthcareInnovation #Guidehouse

🧠 How do we turn AI hype into health care savings? Kev Coleman lays out the facts in his latest paper "Lowering Health Care Costs Through AI: The Possibilities and Barriers" Read Fierce Healthcare's deep dive into Coleman's analysis⬇️ https://lnkd.in/eK4u8PRz