Richard Stevenson’s Post

Such initiatives combined with highly vetted datasets are critical to the adoption of LLMs in Healthcare. https://lnkd.in/gE-ihkWT

Future of Health Care is here

At Silverberry we believe AI is enabling us to deliver on the promise of offering a patient-centric approach. Read our latest article to learn about Silverberry's approach to AI and Healthcare with the patient at the center. #healthcareai #patientcentric #patientengagement https://lnkd.in/gdJW4zpZ

Understand cost utilization management in #MedicareAdvantage and the role accurate #HCCcoding plays in overall efficiency. https://lnkd.in/gipbsACf #medicalbilling #medicalcoding #riskadjustment #healthcareinnovation #aco #medicareadvantage #riskadjustment #valuebasedcare #clinicalinformatics #artificialintelligence #machinelearning #medicareinsurance #naturallanguageprocessing #nlp #foreseemedical #hccriskadjustmentcoding

https://lnkd.in/gCax5HBF This is paper illustrates the use cases of M-LLM in Healthcare with some scenarios.

Continuing to monitor the progression of AI in Healthcare, and its impact on patient care, healthcare workers, and financial benefits

Since the last two years that Generative AI has become available, arguably healthcare has taken the most advantage of it and it has the biggest potential to adopt change. Learn how Silverberry is leveraging it to drive value in the eco-system. Interested in collaborating with Silverberry? DM me to meet at HLTH! #hlth2024 #aihealthcare #ai #innovation

Looking ahead, the future of LLMs in healthcare appears promising. Continued research and evaluation are important for optimizing performance and ensuring they meet regulatory and ethical standards. Their potential to transform healthcare delivery and alleviate clinician burnout becomes increasingly evident. #HealthcareInnovation #MedicalAI

Can AI really work, or just a prediction? Copyright infringement is a major concern for AI. A practical list of high-risk AI applications has been identified by European Parliament's AI Act. Moreover, language is the ultimate barrier for AI scalability. There are six UN official languages, and many other non-UN languages. Can AI handle them all? AI causes expensive 💰🤑💸 electricity bills 🙄😒😫. AI can do many things, but NOT everything, at least, NOT what we are doing. With our intellectual property (IP), a copyrighted multilingual metadata, we can provide real time answers, by census geographical locations, as evidence for decision/policy making. Metadata is an enabler. Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI, supercomputers, etc. https://lnkd.in/g-aJFnXR

Very thoughtful piece! "Value" in healthcare extends beyond the monetary aspect care—it encompasses the equitable delivery of quality care that prioritizes patient well-being and affordability. We often see transactional relationships in healthcare, but VBC requires holistic, meaningful partnerships. Collaborative care that more heavily emphasizes data interoperability and value-based contracts to optimize patient outcomes and drive down costs can help ensure accessible and sustainable healthcare for all! #Healthcare #ValueBasedCare #VBC