Cathy Love’s Post

Join Cathy Love as she speaks with Angela Mariani and Mani Batra, Co-Founders of Everbility, to delve into the world of AI innovations in Allied Health. Discover how AI can alleviate burnout, streamline documentation, and supercharge clinician efficiency by cutting down on administrative tasks. Moreover, they emphasize Everbility's commitment to privacy and responsible AI practices, ensuring that all data remains confidential and secure. or Allied Health Business Owners looking to leverage AI solutions to improve patient care, this episode provides valuable insights. Listen to the full episode through the link in the comments.

Simplify medical information for your patients. It's not just a courtesy, in today's digital age, it's a necessity. And in today’s digital age, you need Digital Health AI solutions from DeliverHealth. Learn more about partnering with us: https://bit.ly/DHAIdig #patientexperience #patientcare #AI #digitalhealth

Discover how AI can reduce clinician burnout and enhance the well-being of managers, clinicians and patients! Join Cristal Mackay, Taryn Overman from VHC Health and Barbara Bennett, AIGP from Frost Brown Todd LLP for key insights. Learn how to navigate the landscape of AI technology, specifically considerations and best practices for successful adoption. BONUS: Attend the session and complete the evaluation form at the end of the webinar to earn 1 ANCC contact hour.  Register now and discover how to make a real difference in your processes! https://lnkd.in/d_YqPzBf

BL3NDAI combines AI with faith-based principles to enhance mental healthcare administration.

Mark Hagland's latest article in Healthcare Innovation addresses the potential of generative AI in transforming the United States' public health infrastructure, despite ongoing concerns about its optimal utilization. The commentary, authored by a team of experts including Monica Bharel MD, MPH, John Auerbach, Von Guyen, MD, and Karen DeSalvo, MD, published in the June issue of Health Affairs, delves into the opportunities presented by generative AI tools. These experts express optimism about the role of generative AI in reshaping public health practices, highlighting its potential to enhance communication, improve organizational performance, and offer novel insights into complex health issues. #GenerativeAI #PublicHealth #HealthcareInnovation #HealthAffairs #AIApplications #ValueBasedCare https://lnkd.in/gubX7gny

"To do no harm - and the most good – with AI in health care." This was the theme of the Responsible AI for Social and Ethical Healthcare (RAISE) Conference organised by Harvard Medical School last 30-31 October 2023. 🏥 I was fortunate to be invited to join this expert group to discuss key issues and immediate actions for healthcare leaders. Amongst other things, we discussed the following questions: ➡ How can AI in healthcare address systemic issues such as medical errors and access disparities? ➡ How should financial models for AI integration in healthcare promote accessibility and efficiency? ➡ How do we balance opt-out and opt-in models in patient consent to ensure inclusivity? ➡ How should liability be allocated between healthcare providers and AI manufacturers in practice? ➡ What mechanisms should be put in place to continuously evaluate the effectiveness and safety of AI tools? 📜 Our discussions culminated in a framework document outlining recommendations and exploring trade-offs to promote ethical, equitable, and responsible AI in healthcare globally. 🌍 Published in Nature Medicine: https://lnkd.in/dCSkKdB4 And New England Journal of Medicine AI: https://lnkd.in/dtkZVAFQ Laura Adams, Noah Brown, Atul Butte, Isaac Kohane Dave deBronkart, Jennifer Dixon, Jeffrey Drazen, Sara Hoffman, Jonathan Perlin, Rupa Sarkar, Effy Vayena

https://lnkd.in/eQZGjp3k SVP and CIO of Cedars-Sinai, Craig Kwiatkowski, in this webinar, discusses promising AI tools to decrease friction, improve efficiency, and simplify things to help the clinician and patients. Clinicians find the ambient documentation and virtual scribe helps with the cognitive load and helps to decrease burnout. This helps the clinician to focus on the patient. AI helps with virtual nursing and visualization capabilities, alerting, and more proactive management to improve with efficiency and care. AI also helps with patients for access of care and to schedule themselves more easily. AI can advance health equity by analyzing vast amounts of health data to identify disparities, help with personalizing care, make systems more efficient, and improve access and availability of care.

Why do people trust clinicians and what needs to happen to build that same trust in Health AI? Jacob Mathew, MD opened our Building Trust in Health AI event today with these remarks. Key takeaways: Trust is earned through a lengthy process of evaluation, certification and training. Checks and balances are important. Patients need to know that their clinician understands the technology, is proficient in its use and confident in its application. Health AI needs to be presented and deployed as a augment not a replacement.

AI is transforming healthcare, from diagnostics to mental health and beyond. In our latest blog post, we explore its applications in patient care, drug discovery, and public health, offering a clear perspective on how AI is delivering real benefits to healthcare professionals and patients alike.

Yesterday I attended the Bay Area Global Health Alliance's 2024 Series on AI and Global Health. Having worked in the AI and digital development space for the past 3 years, it was great to hear the perspective of how AI can be used by frontline health workers, particularly community health workers. What was particularly interesting for me, and almost unsurprising, was how similar the recommendations, challenges, and opportunities were for AI that were exactly the same as more "traditional" digital technologies. We still have to manage buy-in from users and the government, engage with human-centered design, iterate for the user, prioritize data protection and privacy, adjust to varying and complex data housing policies, and so on. Have you found the same in the integration of AI into other digital for development solutions?