Keith Griffis

🌟 Generative AI and Healthcare Transformation: A New Era of Innovation 🌟 I am constantly asked about #AI applications for healthcare transformation. I continue to take people back to the pain points or problems being solved. The healthcare industry is undergoing a significant transformation, driven by the integration of generative AI. This revolutionary technology is currently reshaping the way we approach care management, early disease detection, and administrative tasks. Early Benefits of Generative AI: Enhanced Care Management: AI serves as a "co-pilot" for healthcare professionals, assisting in managing patient care more efficiently and accurately. This leads to improved patient outcomes and more personalized care plans. Early Disease Detection: AI's ability to analyze vast amounts of unstructured data enables early identification of diseases, potentially saving lives and reducing healthcare costs. It's a game-changer in preventive healthcare. Reducing Clinician Burnout: By automating repetitive administrative tasks, AI allows clinicians to focus more on patient care. This not only improves job satisfaction but also enhances the quality of care provided. Affordability and Efficiency: AI-driven processes streamline operations, making healthcare more affordable and accessible. From optimizing workflows to reducing operational costs, AI is paving the way for a more sustainable healthcare system. Challenges and Considerations: Ethical and Legal Frameworks: Ensuring AI is used responsibly requires robust ethical, legal, and policy frameworks. Trustworthy AI adoption is crucial for patient safety and health equity. Technology Infrastructure: Organizations need to update their technology infrastructure, including cloud capabilities, to fully support AI implementation. As we embrace these advancements, it's essential to stay informed and engaged in the conversation about how AI can continue to transform healthcare for the better. #HealthcareTransformation #GenerativeAI #HealthTech #Innovation #AIinHealthcare Thanks to sources McKinsey & Company (https://lnkd.in/g7HZHEST) and MedCity News (https://lnkd.in/gi95t4qJ)

8

1 Comment

Mayo Clinic's leap into AI as a pioneering force in healthcare is a testament to the power of enablement over governance. With an enablement-centric approach, Mayo Clinic has fostered a culture where clinicians and staff are empowered to innovate with AI, turning the largest nonprofit integrated health system into a hub for medical breakthroughs. This strategy not only advances patient care but also democratizes AI development, allowing those with domain knowledge to harness its full potential. Dive into the transformative journey of Mayo Clinic and uncover how enablement can revolutionize your approach to AI. Learn more: https://buff.ly/4aznhR2 #innovation #tech #ai #healthcare #healthit

7

Yunu started with a question - 'What is the biggest problem we can solve with our collective experience?' We landed on #imaging in #clinicaltrials. It's a major milestone for us to be able to give back and accelerate the good in such a deserving area as #pediatric #oncology #research. Children's Oncology Group

22

2 Comments

AI's role in healthcare is growing, but the conversation should move beyond technology. At its core, AI helps providers improve patient care and, perhaps more importantly, patient engagement. Microsoft's new AI tools for scheduling, clinical trial matching, and patient triage are just a piece of the puzzle. What really stands out to me is how these innovations can reshape the patient experience and elevate how brands connect with audiences: **Build Trust** – AI allows for more intuitive, personalized patient interactions, which builds trust. The easier the patient journey, the stronger the relationship. **Stand Out** – Differentiation is vital. Early adoption of AI signals that a healthcare brand is future-focused, patient-centric, and committed to innovation. **Sustainable Growth** – When clinicians are less burdened with administrative tasks, they can focus more on patient care. That means better outcomes, happier teams, and a stronger reputation. The future of healthcare marketing isn't just about the tools but how we use them to create meaningful connections. I'd love to hear how others see AI shaping care delivery and the relationships we build with patients. What's your take? https://lnkd.in/e9JcvmHY #HealthcareStrategy #PatientExperience #AIFuture #HealthInnovation

17

4 Comments

In an era where brands are competing for their audience’s limited attention, true marketing success lies in delivering timely, relevant messages that influence critical decision-making moments, fostering a purpose-driven collaboration between brands and HCPs to shift the focus 'from impressions and profits to meaningful outcomes that improve patient care'. As a member of the Point of Care Marketing Association, I’ve shared my perspective on how context-driven, real-time messaging transforms point-of-care platforms into powerful hubs for purpose-driven marketing, empowering both brands and HCPs to create impactful partnerships that drive positive results for the overall healthcare industry. https://lnkd.in/ge4fmFxt #pointofcare #pocmarketing #marketing #healthcare #HCPs #pharma #opinion #advertising #data

25

1 Comment

Think how much time an organization can save with Automation around AI-powered Continuous Testing. #DigitalHealthLeaders #MostWired #HealthcareInnovation #healthcare #leadership #hospitals #automation #RPA, #ProcessMining #AI #IntelligentAutomation #HighTech #ValueDelivered

1

Data validation in Healthcare Analytics and Business Intelligence can be challenging, but it's not impossible! At the Healthcare Executive Summit, hosted by the marcus evans Group, a panel of CFOs discussed AI solutions that left me convinced. Acute Hospital Operators can benefit from visualization tools that enhance decision-making capabilities, improve throughput and capacity, and prioritize patient care quality and safety. By investing in collaborative and multidisciplinary care models and advancing technology, we can produce better outcomes. Let's stay intentional and keep evolving our interventions to drive progress. #HealthcareAnalytics #BusinessIntelligence #AI #HealthcareTechnology #PatientCare #marcusevansgroup

47

6 Comments

ICYMI: Highly recommend this session! Even if you aren't in the Healthcare industry, the in-depth perspective and knowledge shared by this month's panelists, Andreea Bodnari and Pamela Taylor, along with host Gowri Selka were so insightful and essential to responsibly and ethically adopting #AI. #Microsoft #ResponsibleAI #HumanizeAI #HumanCentricDesign #AIGovernance #AIAdoption https://lnkd.in/gAu2NatG

9

2 Comments

Surveyed healthcare leaders say their organizations are eager to use generative AI to help enhance how healthcare stakeholders work and operate, but some are still adopting a wait-and-see approach. #GenAI #healthcare #research #AI

2

1 Comment

For healthcare providers and distributors, this will be an insightful session highlighting the value of optimization within the distribution center and the impact it can have on CQO.

13

Today’s healthcare organizations are up against a data paradox: wanting to leverage the ongoing data explosion to drive innovations in AI, patient-centered and value-based care vs. the pressing need to manage historical data across a growing number of legacy systems. To that end, Sage Growth Partners client MediQuant just released a new report based on original research of 186 healthcare leaders illustrating how many systems their organization will need to manage in the next 1-3 years, which types of applications are priorities, ways to overcome the hardest challenges, and more.

4

Join us for an exclusive webinar on April 30th at 2pm ET/11am PT to delve into the evolving landscape of Generative AI in healthcare! Discover the latest insights gleaned from the 2024 Generative AI in Healthcare Survey, meticulously conducted by Gradient Flow throughout February and March 2024. Our survey targeted professionals and technology leaders to uncover the prevailing use cases, priorities, and concerns shaping the realm of Generative AI in healthcare. Key discussion points will include: ✅Adoption rates and budget allocation within the industry ✅Variety of language models in active deployment ✅Practical applications for Large Language Models (LLMs) ✅Priorities and challenges in evaluating LLMs ✅Strategies for enhancing LLM effectiveness ✅Testing and compliance of LLMs with Responsible AI standards Don't miss this opportunity to gain invaluable insights and stay ahead of the curve in the dynamic field of healthcare AI! Register now to secure your spot: https://lnkd.in/dQfaTqEn #GenerativeAI #HealthcareAI #Webinar #AIInsights #HealthTech #TechTrends

6

Typically speaking - I work with executives to accomplish the below across Healthcare and LifeSciences. Executive Board : Hey Rob, "We have company wide goals for the organization to strengthen data and analytics capabilities, drive integrated insights, forecast demand, track performance, and optimize resource allocation to inform decision-making across therapeutic areas". Rob : This is very common for all companies - I have found getting started is complicated especially in HLS due to the necessary regulation and privacy requirements. I can help your team measure, analyze, and collaborate internally and externally to achieve the use cases above while ensuring we embed privacy and security to mitigate risk. Does your organization have a plan to increase effectiveness by 4X ?

2

The Oracle Clinical Digital Assistant is using AI to help physicians navigate workflow challenges by combining the capabilities of clinical automation, draft note generation, integrated dictation, and proposed actions in a single, unified experience. Learn more. https://lnkd.in/emg2VcWV

13

WhiteSpace Health has released a version of our platform specific for #Ophthalmology. Learn how dozens of ophthalmologists are already using our AI platform to drive efficiencies and improve profitability in our upcoming webinar. "Ophthalmologists Drive Efficiency and Increase Profitability with AI" Wednesday 13 November at 12:00 p.m. ET Register - https://hubs.la/Q02SQgRf0 This webinar explores the use of AI in ophthalmology operations, addressing key challenges such as appointment scheduling inefficiencies, underutilized provider capacity, and ophthalmology-specific revenue cycle management issues—including surgical billing complexities and intraocular lens (IOL) revenue tracking. Learn how artificial intelligence in eye care provides actionable strategies to increase capacity, reduce costs per encounter, and boost overall profitability. To learn more about the AI platform that is driving success for ophthalmologists nationwide, visit https://hubs.la/Q02SQxB80

4

At Iodine Software, we're not just riding the AI wave - we are defining it for healthcare. Our latest insights dive deep into: ·     Why mastery takes deep domain expertise, not just the data ·     Why transparency and governance are essential ·     How our hybrid CognitiveML™ model fuses LLMs, NLP, and machine learning for unparalleled results We believe in the complex world of healthcare; one size does NOT fit all. Our approach? Tailored AI solutions that respect the intricacies of workflows.    Read the full blog post here: https://shorturl.at/3wIYR #healthcare #AI #RCM #innovation

10

This is our first step in an important journey. We understand that operating at scale is important. To modernize healthcare our customers want to equip every patient room to benefit from virtual care workflows. We think sending huge amounts of audio/video media back to the cloud to be processed by an AI engine is problematic on a number of fronts for healthcare - including network bandwidth, security and patient privacy. As a result, we are taking a different approach by doing computer vision processing in our device in the patient room at the network edge. We are onto something... take a look...

8

3 Comments