Lightbeam Health Solutions’ Post

I hope this is perceived as a positive notion: "While less than 5% of doctor responses were judged [by patients] to be “empathetic” or “very empathetic,” that figure shot up to 45% for answers provided by AI." Computers are well-known for their proficiency in handling data, but can they support relationships with patients? As the world of healthcare strives for greater patient engagement, closer connections, and trust-building, the importance of empathy is hard to overestimate. Here is where healthcare professionals may yet unexpectedly find assistance from technology. For the first time, the study [see the link in comments] compared AI and physicians’ responses to patient messages, and AI emerged victorious. Empathy is known to enhance patient-provider interactions, improve communication, increase patient satisfaction, ensure better adherence to treatment plans, reduce anxiety/stress, and enhance professional satisfaction, ultimately, improving healthcare outcomes. Next week, on February 6th at 10 AM EST, we are hosting an online event on empathy and technology in cancer care. We are inviting patient Ellyn Winters-Robinson, "joined" by the conversational AI, and myself, representing the physicians’ and technology side of healthcare. Let’s use that one hour to witness the current status and future trends in making healthcare more patient-centric and friendly. Save your seat today: https://lnkd.in/dVEsmfgZ #empathetictechnology #gehealthcare #healthcareinnovation

Are you attending #HCMSummit8 this week? Attend our panel discussion, “From Algorithms to Outcomes: AI's Promise and Potential Pitfalls,” with leading HCM experts at the Cleveland Clinic, UCSD Health, and HCMA.  Don’t miss your chance on Saturday, October 26th, at 5:15 pm to hear from Milind Desai MD MBA, Katy Rutkowski, MSN, RN, JORGE SILVA ENCISO, Lisa Salberg and Dana Collins, MBA about real-world applications of Viz HCM in improving patient care.  https://lnkd.in/g9YbdtWJ ✅ Discover how ECG and echo AI ensure timely and accurate diagnosis of HCM ✅ Understand how AI helps ensure patients with HCM get access to the right specialists and treatments ✅ Review real-world evidence demonstrating the impact of AI in clinical settings

Patients are looking to artificial intelligence for health care answers, and so are medical professionals. In Kansas City, hospitals are utilizing AI to predict and coordinate the availability of hospital beds, chart staffing levels, take examination notes and more. Story via The Kansas City Beacon

The Future of Primary Care: In Conversation with Dr Murray Ellender Powered by Restream https://restream.io/ Speakers: Dr. Murray Ellender, CEO of eConsult, and Dr. Mohit Venkataram, ELFT's Executive Director of Primary Care. Topic: 1) Why we built eConsult as a tool to improve GP access – to help our own patients. 2) How online consultation has evolved to support modern General Practice Access. 3) The challenges of scaling in the NHS 4) eHubs, AI and the future.

General Intelligence in healthcare? This is a bold statement 💪. Is this a first big step 👣 for #generalintelligence in clinical care? Or a stretch statement? At present, we have only been in the era of narrow #AI in which models are trained to perform a specific task. General intelligence is a huge leap forward. Such AI would use previously learned skills and learnings to accomplish a new task in a different context without the need of human training. This AI could perform cognitive tasks and could do anything that a human could do. Hippocratic AI----recent news release--- inaugural beta testing of the world’s first generative "AI powered healthcare provider" built on the company’s safety-focused Large Language Model (#LLM) for healthcare, with an initial emphasis on voice-based, patient-facing, non-diagnostic applications. Hippocratic AI’s stated mission is to develop the safest artificial Health General Intelligence. The company has included physicians, hospital administrators, Medicare professionals, and artificial intelligence researchers from El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, and Nvidia in developing this platform. The model has been trained on healthcare-specific vocabulary and prioritization of reinforcement learning with human feedback (RLHF) using healthcare professionals to train and validate the model. The model will be evaluated by review of conversational ability, medical accuracy, script adherence, empathy, and listening skills. 40 provider groups, health systems, and digital health companies, including Memorial Hermann Health System, University of Vermont Health Network, Fraser Health, and Side Health are involved in an internal testing process to ensure that the products are safe and effective prior to their general availability. *****Transparency of this process and results will be key. Some highlights released (in the press release) about the applications: - assist with workforce shortages by taking on some of the more basic tasks to support workflow - example include; calling a patient to provide pre-operative instructions or following a procedure for post-discharge checkups - participants will include rural health care providers—certainly rural healthcare could leverage such technology to continue to provide care as 200 rural hospitals have closed their doors in the last decade. - patients will be supported in between their provider visits with more frequent outreach and education, and increased ability to help patients manage their chronic conditions through our remote monitoring and clinical services. **Interesting times #UsingWhatWeHaveBetter https://lnkd.in/gKBDvdK3

Predictive analytics powered by AI offer healthcare providers the ability to forecast patient outcomes, disease progression, and resource needs with unprecedented accuracy. #AI #analytics #healthcare #medicaldata #patientcare #doctors

The transformative potential of AI in healthcare presents unprecedented opportunities to enhance patient outcomes, streamline clinical workflows, and reduce overall costs while positively impacting population health. As AI continues to revolutionize the field, its ability to analyze vast datasets, identify patterns, and predict trends positions it as a pivotal force in disease diagnosis, early detection, and personalized patient engagement. By augmenting the capabilities of clinicians, AI simplifies workflows, prioritizes critical tasks, and empowers healthcare professionals to focus on their core passion—patient care and engagement. We stand at the dawn of an era where AI's application in healthcare could become one of the most consequential advancements for the greater good. The ongoing initiatives pushing the boundaries of AI to drive innovation in patient care and engagement are both promising and inspiring. It is gratifying to witness the strides being made, as highlighted in Randy Bean's insightful article, which underscores the profound impact of AI on revolutionizing healthcare and medical outcomes. #AIinHealthcare #PatientEngagement #earlydetection #PatientExperience #augmentedintelligence

🌍 Hello World, We are DiagnostIQ, a company dedicated to providing innovative healthcare software solutions. Our mission is to empower both patients and specialists by delivering AI-based risk assessments for 14 diseases, solely based on the results of patients' blood tests. We present all existing conditions for each patient along with their associated probabilities in a clear and comprehensible format through our Ai|Life Smart Medical Record. 📑 Our commitment is to offer the most accurate estimations possible to achieve early diagnosis, creating significant opportunities for timely interventions and enhancing recovery rates, ultimately improving overall quality of life. 📈 To further improve the accuracy and reliability of disease estimates, we actively collaborate with numerous universities in ongoing research efforts. Follow us to stay informed about the latest research breakthroughs, exciting developments in AI for healthcare, and valuable health reminders! #diagnostics #healthtech #AIinHealthcare #AIMedicine #HealthCareInnovation #diagnosis #DigitalHealth #BloodTest #BloodTestResults #MedicalAI #machinelearning #deeplearning #ai #ArtificialIntelligence

𝐀𝐈 𝐓𝐨𝐨𝐥 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥𝐥𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐝𝐬 𝐭𝐨 𝐏𝐚𝐭𝐢𝐞𝐧𝐭 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐄𝐥𝐞𝐜𝐭𝐫𝐨𝐧𝐢𝐜 𝐇𝐞𝐚𝐥𝐭𝐡 𝐑𝐞𝐜𝐨𝐫𝐝 Here is a very practical examples how AI can 1) reduce the pressure on physicians and 2) help patients. NYU Langone Health has a communication tool build into their electronic health records through which patients can ask their physicians questions, refill prescriptions, and review test results. It's a great communication tool but physicians have recently started experiencing a more than 30 percent annual increase in the number of messages received daily. Some physicians received more than 150 messages (!!) per day. "𝑁𝑜𝑤 𝑎 𝑛𝑒𝑤 𝑠𝑡𝑢𝑑𝑦 𝑠ℎ𝑜𝑤𝑠 𝑡ℎ𝑎𝑡 𝑎𝑛 𝐴𝐼 𝑡𝑜𝑜𝑙 𝑐𝑎𝑛 𝑑𝑟𝑎𝑓𝑡 𝑟𝑒𝑠𝑝𝑜𝑛𝑠𝑒𝑠 𝑡𝑜 𝑝𝑎𝑡𝑖𝑒𝑛𝑡𝑠’ 𝐸𝐻𝑅 𝑞𝑢𝑒𝑟𝑖𝑒𝑠 𝑎𝑠 𝑎𝑐𝑐𝑢𝑟𝑎𝑡𝑒𝑙𝑦 𝑎𝑠 𝑡ℎ𝑒𝑖𝑟 ℎ𝑢𝑚𝑎𝑛 ℎ𝑒𝑎𝑙𝑡ℎ𝑐𝑎𝑟𝑒 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠, 𝑎𝑛𝑑 𝑤𝑖𝑡ℎ 𝑔𝑟𝑒𝑎𝑡𝑒𝑟 𝑝𝑒𝑟𝑐𝑒𝑖𝑣𝑒𝑑 “𝑒𝑚𝑝𝑎𝑡ℎ𝑦.” 𝑇ℎ𝑒 𝑓𝑖𝑛𝑑𝑖𝑛𝑔𝑠 ℎ𝑖𝑔ℎ𝑙𝑖𝑔ℎ𝑡 𝑡ℎ𝑒𝑠𝑒 𝑡𝑜𝑜𝑙𝑠’ 𝑝𝑜𝑡𝑒𝑛𝑡𝑖𝑎𝑙 𝑡𝑜 𝑑𝑟𝑎𝑚𝑎𝑡𝑖𝑐𝑎𝑙𝑙𝑦 𝑟𝑒𝑑𝑢𝑐𝑒 𝑝ℎ𝑦𝑠𝑖𝑐𝑖𝑎𝑛𝑠’ 𝑏𝑢𝑟𝑑𝑒𝑛 𝑤ℎ𝑖𝑙𝑒 𝑖𝑚𝑝𝑟𝑜𝑣𝑖𝑛𝑔 𝑡ℎ𝑒𝑖𝑟 𝑐𝑜𝑚𝑚𝑢𝑛𝑖𝑐𝑎𝑡𝑖𝑜𝑛 𝑤𝑖𝑡ℎ 𝑝𝑎𝑡𝑖𝑒𝑛𝑡𝑠, 𝑎𝑠 𝑙𝑜𝑛𝑔 𝑎𝑠 ℎ𝑢𝑚𝑎𝑛 𝑝𝑟𝑜𝑣𝑖𝑑𝑒𝑟𝑠 𝑟𝑒𝑣𝑖𝑒𝑤 𝐴𝐼 𝑑𝑟𝑎𝑓𝑡𝑠 𝑏𝑒𝑓𝑜𝑟𝑒 𝑡ℎ𝑒𝑦 𝑎𝑟𝑒 𝑠𝑒𝑛𝑡." Fantastic case study and example of how you can bring generative AI into the practice of medicine through evidence-based studies. https://lnkd.in/eWYpQjmv

Generative AI is clearly the talk of #HLTH this year, but some areas are moving faster than others. One of the interesting thoughts I heard today was how technology may be creating health equity issues faster than it’s solving them. Take primary care. Unlike some other specialties, internal medicine still requires in-person care in many cases. While the long-term vision might be a virtual-first environment with remote patient monitoring, that’s not the current reality. Instead, many people are finding long waits for care, leading them to seek out concierge-style doctors who offer direct primary care (if they can afford it) or companies that promise quick access, which has been a big selling point for players like Amazon/One Medical. Meanwhile, traditional primary care providers tend to be left with the sickest, most complicated patients. “And I think we haven’t thought about that yet,” says Jenny Yu, MD FACS, chief medical officer of RVO Health, parent company of Healthline Media and Healthgrades. “What’s a good sort of patient mix for longitudinal care?” In the video below, she shares her thoughts on the health equity gap in primary care. Follow #healthcareonLinkedIn for more insights as the week progresses. And be sure to post your own!