Capgemini Invent’s Post

Last week's Consumer Experience & Digital Health Forum (AHIP) was a great opportunity to see how the customer facing side of healthcare and insurance are adopting AI and Generative AI specifically. Here are a few takeaways: - While everyone is touting the promise of Gen AI, very few are using it in practice. As one tech exec on a panel noted, "Generative AI is a little scary for healthcare." - Lots of Insurers are weaving AI into their processes with most early AI gains coming in back office projects to simplify claims processing and speed prior approval. - Most Gen AI is being experimented with on the patient side, with programs for note taking and efforts to use Gen AI improve the patient intake process. Oscar Health's Duncan Greenberg is bullish on voice agents and believes we'll see our first direct Gen AI application (no copilot) in the market next year. (Please lord, let it be virtual agents to replace phone trees). - While he's bullish on Gen AI, Stanford's Robert Pearl thinks widespread use of the technology still is 3-5 years out for healthcare. But he's optimistic that the spotlight on Gen AI will finally force the healthcare industry to come to grips with its underlying data issues, which could help solve a core problem holding US healthcare back. #AHIP #AHIPDIGITAL #Healthcare #AI #GENAI #Insurance #oscarhealth #healthcareonlinkedin #generativeai

Many healthcare organizations are more likely to start by applying Gen AI to administrative and operational use cases, given their relative feasibility and lower risk. In the near term, insurance executives, hospital administrators, and physician group operators may be able to apply Gen-AI technology across the value chain. – McKinsey & Company Generative AI in #healthcare is taking the medical world by storm, offering groundbreaking solutions left and right. Picture this: by 2032, the global Generative AI market is set to hit a whopping $118.06 billion! Read our blog on Generative AI in healthcare and its use cases for #medical and life sciences & check the leadership quote by Suraj Sharma: https://lnkd.in/dasem6_c #leadershipquote #lifescience #nextgeninvent #patient #doctors #healthtech #medtech #hospitals #clinic #nextgeninvent 

This informative article explores how rising denial rates are impacting providers, partly due to AI and workforce constraints. Discover how insurance plans are utilizing algorithms to deny dozens of claims with just a click. Stay informed and find ways to tackle this growing issue in the healthcare landscape. #revenuecyclemanagement #artificialintelligence https://lnkd.in/gtAaDY8m

🚨 YOU Must Lead the Way for #Ethical AI in Healthcare: A Call for Action 🚨 🚀 In recent discussions across healthcare, concerns have been growing about the use of #AI to increase denial rates, especially for Medicare Advantage plans. AI-driven insurance denials are likened to a slow-mo version of HAL 9000 from the movie 2001: A Space Odyssey—cutting off care like Hal turning off life support. (h/t Steve Wilson) 🎙️ In this article and podcast, we discuss how AI misuse can harm patient care and provider trust, and how we can collectively lead toward ethical AI. ✨ Co-authors: Trustworthy Technology and Innovation in Healthcare Book Series Consortium (TTIC) leadership team Charles Podesta, CIO at Renown Health | Executive Sponsor, TTIC Sherri Douville, CEO at Medigram, Inc. | Chair, TTIC Ed Gaudet, CEO at Censinet | Co-Chair, P&P Market Leading Regulatory Strategy Apurv Gupta, MD, MPH, VP, Advisory at Premier | SG Co-Chair, TTIC This weekend's post https://lnkd.in/gQKDRxzs was on the theme of wicked problems like this in healthcare which are "tragedies of the commons" because many entities are involved in contributing to and benefiting from the healthcare system, no single party takes responsibility. The complex interdependencies between stakeholders, misaligned incentives, and lack of unified leadership create a situation where no one owns the problem, and therefore, no one solves it. 🎯 That doesn't mean you do nothing; it means those issues that are aligned with your business must get tackled intelligently. Calls to Action 1) Tune in to hear actionable insights. Super concise 10 minute podcast👇 2) Read the foundational article: https://lnkd.in/gzeUq66w Let's lead together towards trustworthy and ethical #AI in #healthcare! #HealthcareInnovation #Medigram #TTICthcareInnovation #EthicalAI #PatientCare #TTIC

Exploring the transformative potential of AI in healthcare, particularly its role in advancing health equity. Delve into my insights on how AI holds promise for fostering a more equitable healthcare landscape. #healthequity, #aiinhealthcare, #datascience, #healthcaretechnology, #machinelearning, #patientoutcomes, #ethicalai

Check out what we are doing with our provider partners! No surprise demand is so high when the outcomes are real. #revenuecyclemanagement #rcm #OpExReduction #claimsautomation #aiasaservice #healthcare #serviceasasoftware #aiagent #fullyhumancapableaiagent

https://lnkd.in/eThNBXEf This article prompts me to think about how #ai can and already is impacting the medical device industry. It also reminds me that my close friend and medical futurist Emmanuel Fombu was an early advocate of AI and its potential and risks in Healthcare. #watchthisspace #AI #healthcareai #futureofmedicine #samd #fda #meddevice #regulation #regulatoryaffairs #regulatorycompliance

#AI, Mediktor acquires Sensely and consolidates its position as a leader in AI Healthcare Solutions Mediktor, the leading digital healthcare company, has announced the acquisition of Sensely, a San Francisco-based, digital healthcare provider that pioneered an empathy-driven conversation platform to support hospital systems and insurance services with world-class member engagement. This consolidation of two world-leading artificial intelligence-driven solutions providers marks a major medical technology milestone, extending Mediktor's global presence to more than 35 countries and expanding its footprint in the United States.   The merger creates one of the largest global AI-based solutions providers in the healthcare ecosystem. The new organization will be driven by an enriched conversational healthcare platform to help increase efficiencies and reduce costs using its complementary technologies, including the company's AI medical assistant.   "Mediktor and Sensely represent the perfect synergy between AI-based symptom assessment and empathy-driven virtual assistance that puts patients at the center," said Adam Odessky, Sensely's Co-Founder and CEO. "The combination of these two organizations provides customers with a strong, comprehensive suite of technology services that are proven to increase efficiency and reduce overhead costs for institutions while offering unparalleled personalized engagement services to patients and insurance members. We're excited to share Mediktor's vision for becoming a leading player in an evolving and competitive digital healthcare environment."   #AI, #RB

2024 𝐢𝐬 𝐭𝐡𝐞 𝐲𝐞𝐚𝐫 𝐨𝐟 𝐀𝐈 𝐢𝐧 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐌𝐚𝐤𝐢𝐧𝐠 𝐬𝐞𝐧𝐬𝐞 𝐨𝐟 $4 𝐭𝐫𝐢𝐥𝐥𝐢𝐨𝐧 𝐢𝐧 𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐞𝐱𝐩𝐞𝐧𝐬𝐞𝐬, 𝐀𝐈 𝐛𝐢𝐠 𝐭𝐞𝐬𝐭 Hospitals and insurance companies are using AI to help with billing and managing the $4 trillion spent on medical expenses in the U.S. every year. They want AI tools to quickly handle procedures, file claims, and check bills for errors. The goal is to make more money for health care providers and insurers while preventing fraud. AI can be a powerful tool, but it may also cause disagreements between your health plan and medical provider about bills. Being the first to use AI is not just about winning billing battles; it's also about making the administrative work smaller, reducing mistakes, and speeding up paperwork for both providers and insurers. Some people in government want to use AI to make the health care system more efficient, but there are still many challenges to figure out. Companies are working on AI strategies to help doctors, save money, and improve patient care. 𝐊𝐞𝐲 𝐏𝐨𝐢𝐧𝐭𝐬: Bills Disagreements: AI in healthcare billing might cause arguments between health plans and medical providers about how to handle bills and payments. Integration Issues: Making AI work smoothly with current healthcare systems is tough. Figuring out the best way to fit AI tools into the system is a big challenge. Uncertainties in Using AI: Even though people want to use AI to make things run better, there are still many unknowns and problems to solve in using AI in healthcare. #AIinHealthcare #MedicalExpenses #HealthcareBilling #PatientCare

The future of #AI in #healthcare is brimming with potential to revolutionize #PatientCare by enhancing clinical outcomes & delivering personalized experiences. As AI technologies continue to advance, we anticipate #transformative impact on the industry. Siemens Advanta #PatientExperience #ClinicalOutcomes