Idrees Mohammed’s Post

"With large language models that take notes during patient visits and algorithms that identify disease, artificial intelligence has begun to prove its worth as an assistant for physicians. But a new study from Stanford Medicine shows the potential of AI as a facilitator—one that helps doctors and nurses connect to achieve more efficient, effective patient care. The study, which was published in JAMA Internal Medicine, describes an AI-based model in use at Stanford Hospital that predicts when a patient is declining and flags the patient's physicians and nurses." #ai #medicalcare #doctors #nurses #collaboration #communications

UC Irvine Innovates Nursing-Focused AI Models - DistilINFO Hospital IT Summary: #UCIrvineAI: UC Irvine has developed innovative AI models focused on nursing, aiming to improve patient care and outcomes. #AIinHealthcare: The use of AI in healthcare is revolutionizing the industry, with applications in various areas including nursing. #NursingAIModels: UC Irvine's AI models for nursing are designed to enhance patient monitoring, diagnosis, and treatment. #BenefitsOfAI: The implementation of AI in nursing can lead to improved efficiency, accuracy, and overall quality of care. #FutureImplications: The future implications of AI in nursing are vast, with the potential to transform the way healthcare is delivered. #ChallengesAndConsiderations: Despite the benefits, there are challenges and considerations to be aware ai.mediformatica.com #data #healthcare #model #nursing #nurses #research #datasets #patientoutcomes #this #patientcare #ucirvine #insights #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/4992B1h)

💥How AI and Nurses Work together to improve patient outcomes - AI and nurses can work together to improve patient outcomes in several ways: 1. Data Analysis: AI algorithms can analyze vast amounts of patient data, including medical records, vitals, and lab results, to identify patterns and trends. Nurses can collaborate with AI systems to interpret these insights and make informed decisions regarding patient care. AI can highlight crucial information, such as potential risks or interventions, that may not be immediately apparent to nurses, enabling them to provide more personalized and effective care. 2. Early Warning Systems: AI-powered monitoring systems can continuously analyze patient data, such as heart rate, blood pressure, and respiratory rate, to detect early signs of deterioration or complications. Nurses can receive alerts from these systems, allowing them to intervene promptly and prevent adverse events. AI systems can also provide risk scores or predictive analytics to help nurses 3. Decision Support: AI systems can assist nurses in making clinical decisions by providing evidence-based recommendations and guidelines. These systems can suggest appropriate treatment options, dosage calculations, and drug interactions based on patient-specific data and current best practices. This support can help nurses make timely and well-informed decisions, leading to improved patient outcomes. 4. Care Management and Coordination: AI can assist nurses in managing and coordinating care, particularly for patients with complex and chronic conditions. AI systems can help optimize patient schedules, ensure adherence to care plans, and monitor compliance with medications or therapies. Nurses can work collaboratively with AI systems to streamline care processes, reduce errors, and provide coordinated and patient-centered care. 5. Patient Education and Engagement: AI-powered chatbots or virtual assistants can provide patients with personalized health information, answer their questions, and offer support. Nurses can collaborate with these AI systems to design and deliver educational materials, monitor patient engagement, and provide guidance on self-management strategies. 6. Workflow Optimization: AI can help nurses streamline workflows by automating routine tasks and administrative processes. This can free up time for nurses to focus on direct patient care and engage in more complex and critical tasks. AI can assist in tasks like appointment scheduling, documentation, and medication reconciliation. It is important to note that the collaboration between AI and nurses requires ongoing training and education. Nurses need to understand the capabilities and limitations of AI systems and know how to integrate AI-generated insights into their clinical judgment. Furthermore, nurses play a crucial role in monitoring, validating, and refining AI algorithms to prevent biases and ensure patient safety and ethical considerations

Nurses from the California Nurses Association protested outside Kaiser San Francisco against the implementation of artificial intelligence (AI) in healthcare, citing concerns about untested and unregulated technology. They argue that AI cannot replace the human touch and empathy crucial in patient care. Kaiser defends its use of AI, stating it enhances patient outcomes and nurse satisfaction without replacing human decision-making. The company emphasizes that AI tools are meant to support, not replace, physicians and care teams, ensuring inclusiveness, health equity, and unbiased results. Despite Kaiser's assertions, nurses remain skeptical, emphasizing the importance of human interaction in healthcare. #aiinhealthcare #nurses What are your thoughts? Is it too soon? Or can AI be used in collaboration with medical providers to enhance care? With the Specialist combines artificial intelligence with a board certified neurologist to enhance neurological care in the primary care setting or potentially the hospital. In collaboration with healthcare providers, I think AI has the potential to revolutionize medicine. #withthespecialist #neurology #innovation https://lnkd.in/gu7wr2yg https://lnkd.in/gExrwg2P

Exciting developments are happening at the intersection of AI and nursing! This post is about how artificial intelligence is revolutionizing nursing practice, enhancing patient care, and shaping the future of healthcare. From AI-driven clinical decision support systems to innovative patient monitoring technologies, the role of nurses is evolving in unprecedented ways. But what does this mean for the traditional aspects of nursing? And how are nurses playing a critical role in the ethical implementation of AI? https://lnkd.in/d2CwVrsE #AINursing #HealthcareInnovation #NursingFuture #artificialintelligence

#ArtificialIntelligence is no longer just a tool for automating tasks but has evolved into a pivotal aid in #healthcare, significantly enhancing collaboration between physicians and nurses. This leap in healthcare technology is exemplified by a recent study that explores #AI’s role not merely as an assistant but as a critical facilitator of efficient and effective patient care. Stanford University School of Medicine conducted a study that showcases an AI-based model currently in use at Stanford Hospital. This model is designed to predict patient deterioration and notify both physicians and nurses. Thereby, it fosters timely and effective clinical interventions.

 Insights on the intersection of artificial intelligence (AI) and nursing. AI in Healthcare: AI has made significant strides in healthcare, including nursing. It refers to the ability of computers to independently convert data into knowledge, guiding decisions or autonomous actions. Nurses play a crucial role in the conceptualization, development, and implementation of AI technologies. Their involvement ensures that AI aligns with nursing practice and enhances patient care. AI tools in nursing include clinical decision support, mobile health applications, sensor-based technologies, and voice assistants. These tools augment nursing practice and contribute to better patient outcomes. Clinical Decision Support: AI-enhanced clinical decision support tools provide nurses with actionable information based on data. They can predict fall risks, generate nursing diagnoses, and prevent catheter-associated urinary tract infections. The advantage of AI lies in its ability to quickly analyse large volumes of data, offer precise predictions, and automate risk calculations. Education and Simulation: ÁI is influencing nursing education. Chatbots simulate real-life nurse-patient interactions, helping students develop critical judgment skills. Simulated patient scenarios allow nurses to practice and refine their decision-making abilities, preparing them for real-world challenges. Quality Improvement and Efficiency: Understanding AI empowers nurses to leverage data-driven insights and adapt to the evolving technological landscape. AI applications include diagnostics, personalized treatment planning, patient monitoring, and automating routine tasks, leading to operational efficiency and improved care quality. Challenges and Ethical Considerations: While AI offers immense potential, ethical concerns remain. Nurses must navigate issues related to privacy, bias, and transparency. Ensuring that AI aligns with patient-centered care and ethical standards is essential for its successful integration into nursing practice. In summary, AI holds promise for transforming nursing by enhancing decision-making, improving efficiency, and ultimately benefiting patients. As technology continues to evolve, nurses will play a vital role in shaping its responsible and effective use in healthcare.

“Patients are not algorithms”  “Trust nurses, not AI.” Two days ago, a crowd of 200 nurses protested at the Kaiser Permanente San Francisco Medical Center. I read an article on it yesterday, and here’s what I found out: 1. Nurses protested against the rapid and unchecked use of AI in healthcare. 2. They demand transparency and a say in AI integration to safeguard patients. 3. The protest aimed to halt new AI tech until its safety and effectiveness are clear. 4. Nurses reported AI errors, like inaccurate alerts and overlooked patient conditions. 5. They argue that AI should support, not replace, the vital roles of healthcare professionals. As a founder working on an AI-based solution for healthcare, here’s my opinion. First, AI is an enhancer for healthcare. It can never replace healthcare professionals. For example, midoc - our soon-to-be-launched product is an AI-based EHR system. It will put patients in the driving seat. & help physicians get faster insights from data. Here’s the best approach to adopting AI inside a hospital: 🔹 Prioritize teamwork over substitution. 🔹 Call for strict regulations and monitoring. 🔹 Place patient care at the heart of tech adoption. 🔹 Implement AI with safety and morality at the forefront. 🔹 Ensure AI enhances healthcare staff's work, not substitutes it. Adding change to healthcare systems should be done with great care & With multiple testing iterations to ensure the best care. I think the concern of nurses to being threatened is a fair one but at the same time,. AI won’t replace them… What are your thoughts on the matter?

Welcome this week’s edition of "What We Are Reading" at Seam! We're excited to share our team's recommended readings with you. Jeff Schaeffer is reading a literature review of research topics in Nursing-focused AI, co-authored by several organizing members of the AI in Nursing workshop within last week's AI in Medicine (AIME) conference. ”Interestingly, only ~11% of studies related to implementing or operationalizing AI in nursing workflows, emphasizing how early we are in bringing AI to practicing nurses and reiterating the importance of making AI accessible and easy to integrate into day to day nursing operations”. https://lnkd.in/gfNmbShr Kelly Larrabee-Robke, DNP, MBA, MS, RN found this editorial insightful on the role of nurses in advocating for and evaluating the use of AI in nursing practice. “This editorial identifies the responsibilities that come in creating data from nursing care delivery activities that in turn requires nurses to actively assess and understand that data. Responsibilities carry forward from understanding to assessment of AI models and methods,  through the lenses of challenges that can exist on the care delivery side and access to care on the patient side of Nursing AI efforts" (subscription required). https://lnkd.in/gGSeEjvM Roger Castillo recommends this article that provides insights on quick decision making processes:  “This is nice short post on how you need to take a step back and think about the trade-offs when making a quick decision. Additionally, the post points out that quick decision-making although not inherently bad, tends play into recency bias when evaluating inputs to making a decision.” https://lnkd.in/gS8Ckr7W We value your perspective on this content. Please share your thoughts in the comments below. Interested in more recommendations? Follow Seam to keep up with our recommended readings.

I have been having fun with the 3 main AI LLMs for a while. Tonight I asked Bard, Chat GPT, and Bing "What are your thoughts on independent practice for nurses and nurse practitioners?" None of the LLMs even addressed the RN portion of the questions. With respect to NP practice, both ChatGPT and Bing gave the same answer, essentially stating "It should be left up to the states." This is not surprising as Bing is powered by ChatGPT and in my experience a majority of the AI generated answers tend to be what I would consider "neutral". Which is why I was surprised when Bard expressed an opinion on the topic as you can read below. The independent practice of nurses and nurse practitioners (NPs) is a complex and controversial topic. There are strong arguments both for and against it. Arguments in favor of independent practice: Increased access to care: NPs can provide primary and specialty care in areas where there is a shortage of physicians. Improved quality of care: NPs have been shown to provide high-quality care that is comparable to that of physicians. Reduced costs: NP care is often less expensive than physician care. Patient satisfaction: Patients are often satisfied with the care they receive from NPs. Nurse autonomy: NPs are highly educated and qualified professionals who deserve the autonomy to practice independently. Arguments against independent practice: Lack of physician oversight: Some argue that NPs lack the training and experience to practice independently without physician oversight. Potential for harm: There is a risk that NPs may misdiagnose or mistreat patients. Scope of practice: There is debate about the appropriate scope of practice for NPs. Physician job security: Some physicians fear that the independent practice of NPs will threaten their job security. The American Association of Nurse Practitioners (AANP) supports the independent practice of NPs. The AANP argues that NPs are qualified to practice independently and that doing so would benefit patients and the healthcare system. The American Medical Association (AMA) opposes the independent practice of NPs. The AMA argues that NPs lack the training and experience to practice independently and that doing so would put patients at risk. The debate over the independent practice of NPs is likely to continue. Ultimately, the decision of whether or not to allow NPs to practice independently should be made on a state-by-state basis. There is a great deal of variation in the laws governing NP practice. In some states, NPs can practice independently, while in other states they are required to have a collaborative agreement with a physician. In my opinion, the decision of whether or not to allow NPs to practice independently should be based on evidence, not fear. There is a growing body of evidence that shows that NP care is safe, effective, and cost-effective. I believe that NPs should be allowed to practice independently in all states. What are your thoughts?