Josh Hutchison’s Post

97% of hospital data goes unused because of a lack of structure. How many different healthcare establishments have you visited where you had to fill out the same information repeatedly? This phenomenon is not unique. Organizations need to support collaboration share information and work towards the federation of data within the health system. If we were to do so, it would confer benefits for businesses and patients alike. Businesses would improve their data utilization and have less data redundancy, while patients would be able to be connected with relevant clinical trials. The ability to conduct large-scale clinical research studies without sacrificing patient information privacy can’t be understated either. #Healthcare #HealthTech #CX #Data

Imagine a healthcare system where doctors spend nearly 28 hours a week on paperwork instead of patient care. The new Measuring the Administrative Burden report, from Google Cloud and The Harris Poll , reveals just how overwhelming the administrative load is on U.S. healthcare professionals. With healthcare workers buried in paperwork and this burden directly affects patient care. But there’s hope: 9 in 10 providers are ready to embrace generative AI to reduce this load. AI can automate tasks like documentation and claims processing, freeing up time for what matters most: patient care. Key data points: • 8 in 10 clinicians say administrative work reduces patient time. • 96% of healthcare executives agree reducing paperwork will improve care. • 85% of patients want their providers focusing on them, not paperwork. This report shows that AI can be a game-changer, reducing burnout and improving care quality. It’s time to unlock the future of healthcare with technology that works for people, not against them. #AIinHealthcare #GenerativeAI #HealthcareTransformation

Microsoft is leveraging AI to transform healthcare, announcing new collaborations that promise better patient care and clinician support. These efforts, showcased at the 2024 HIMSS Conference, exemplify how AI can enhance healthcare delivery while adhering to privacy and ethical standards. #HealthcareInnovation #AIMicrosoft #DigitalHealthcare (https://lnkd.in/g9k6Vx2P)

I recently read an article from Forbes highlighting the transformative potential of AI and machine learning in healthcare, particularly for Medicare Advantage plans. The piece discusses how recent CMS policy updates are reshaping the industry, creating opportunities for technology to drive cost efficiencies and improve patient care. It spotlights the rise of telehealth and remote patient monitoring, showing how AI/ML can streamline processes, reduce administrative burdens, and enhance clinical decision-making. As healthcare providers face the dual challenge of controlling costs while delivering high-quality care, adopting these advanced technologies is crucial. Embracing AI and machine learning can address current industry issues and set a new standard for innovation in healthcare delivery. It’s an exciting time for those ready to lead these changes. Article link: https://cstu.io/953499 #HealthcareInnovation #AIinHealthcare #MedicareAdvantage #Telehealth #HealthTech #PatientCare #forbes #WendigoAdvisors

Zoom plans new genAI capabilities for healthcare providers - Healthcare IT News: Zoom plans new genAI capabilities for healthcare providers  Healthcare IT News http://dlvr.it/TFfQWw #ai #artificialintelligence

🌟 Looking back at Microsoft's presence at HLTH Europe’s inaugural conference in Amsterdam: We engaged with customers, partners, and the broader healthcare community to explore the promise and impact of AI in the health sector. Key highlights included the launch of the European Trustworthy and Responsible AI Network, discussions on the role and impact of Generative AI in hospital settings and health systems, guidance for healthcare startups on expanding into new markets, and the critical importance of interoperability from the perspective of CIOs. We shed light on the opportunities to enhance healthcare delivery through advanced, responsible AI technologies. AI is driving true change in the healthcare industry, delivering real-world outcomes that positively impact clinicians, patients, health systems, and the broader health and life sciences ecosystem. Check out a few highlights from our week at HLTH Europe. Thank you team! 🌟 Angela Bos Amina Shah Antonie Berkel Arnaud WILMET Beth De Lisi-Baird Cecilia Davis Collin Noble David Rhew, M.D. Ellen van Meurs Fleur Hermse Frederik Brabant Fleur Rudolphus Gaby Hannen Hadas Bitran Hema Purohit, FBCS John de Rijk Joel Demay Joost Huiskens Kees Hertogh Laurette Abou Rjeily Merel van Wijk Oscar Klein Pierre Meyblum Regina Pietersen Ruthy Kaidar Sally Ann Frank Sara Bijl Simon Alaoui Umang Patel #AI #HealthTech #Healthcare #HLTHEurope #Microsoft #msftadvocate

【Improving Clinical Support Through Retrieval-Augmented Generation Powered Virtual Health Assistants】 Full article: https://lnkd.in/gWsXbE25 (Authored by Biju Baburajan Anandavally, from Huztle, Richmond (USA), etc.) The integration of #artificial_intelligence (AI) in healthcare is rapidly evolving, offering innovative solutions to the countless challenges modern healthcare systems face. This study investigated the potential of a virtual #health_assistant powered by #GPT4 and Retrieval-Augmented Generation (#RAG) capabilities, supported by clinical data, to improve healthcare delivery. The system is tested in a simulated real-world setting to evaluate its effectiveness in addressing patient inquiries, improving satisfaction, and streamlining healthcare workflows.

“The HHS will issue a plan to regulate AI in healthcare by the end of the year. Does Microsoft think more federal action is needed? When I mentioned that no one company or organization can tackle the responsibilities by themselves, that includes the federal government. The things that we know need to be done to apply responsible AI involve testing the algorithms on very large, diverse datasets. That’s going to be very challenging if you have an organization that doesn’t have that data. So what would likely happen is that they would pass it back to the developers to do that. And developers don’t have access to that either. So it’s important that we build these public-private partnership models to enable us to be able to achieve some of the goals.” Public-Private partnership? Federal regulations governing distribution? Large and diverse data sets? Did somebody say #QHINs? It takes time for the Responsible AI to train and test the model and clinically verify physician burn out reduction and, most importantly, data quality. Health Gorilla is the QHIN that is doing a lot of innovative work in that direction, minus the hype.

Artificial intelligence is revolutionizing healthcare delivery and patient outcomes. Through machine learning and data analysis, AI optimizes medical processes, personalized patient care, and drives innovation in the healthcare industry. Discover more about AI's transformative role in healthcare administration. #AIHealthcare #MedicalInnovation #HealthTech #TheSimpleVUE

The Future of Patient Monitoring with AI-Powered Solutions: A Leap Forward in Healthcare AI-powered patient monitoring is paving the way for a new era in healthcare, enhancing our ability to observe and respond to patients' needs in real-time. Imagine a world where patient vitals are continuously tracked, and potential health issues are flagged before they escalate—this is becoming our new reality, driven by the ingenious application of AI. Through my involvement in this field, I've witnessed significant improvements in patient safety and care continuity. These advanced monitoring systems help identify trends and anomalies, offering healthcare providers invaluable insights that were previously hidden. However, as we delve deeper into this transformative technology, we must consider the complexities involved in widespread adoption. Are our healthcare systems ready for such a shift? The promise is tremendous, but so are the hurdles, particularly regarding data privacy, system interoperability, and the upskilling of medical staff. What are your thoughts on the future of AI in patient monitoring? #HealthcareInnovation #AIinMedicine #PatientCare #FutureofHealthcare