Preeti Cholleti’s Post

Health systems collaborate with AI to combat doctor burnout - #HealthcareAI 🤝 Download 1 Million Logo Prompt Generator 🔜 https://wapia.in/1mlogo 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: Health systems are increasingly partnering with artificial intelligence (AI) companies to address the issue of doctor burnout. By utilizing AI technology, health systems hope to alleviate some of the burdens on healthcare providers and improve overall efficiency. These partnerships aim to streamline administrative tasks, provide clinical decision support, and enhance patient care. The use of AI in healthcare is seen as a promising solution to combat the growing problem of burnout among physicians and other healthcare professionals. Hashtags: #chatGPT #AIhealthcarepartnerships #doctorsupport

AI in Healthcare: A Double-Edged Sword for Combating Physician Burnout Physician burnout has reached epidemic levels, with nearly 50% of doctors overwhelmed by excessive workloads and administrative tasks. In the U.S., physicians spend 34-55% of their workday managing electronic medical records (EMR)—time that often prioritizes billing and regulatory compliance over patient care. Many healthcare organizations are turning to AI to help alleviate this burden, showing promising results in reducing documentation time and improving patient interactions. However, without changes to the fee-for-service payment models, AI may unintentionally increase patient loads, worsening burnout rather than relieving it. The future of healthcare depends on aligning financial incentives with both physician well-being and patient outcomes, ensuring that AI is used to lighten workloads, not add to them. #healthcare #Ai #chatgpt

AI as the Gatekeeper: Deciding Who Gets Care First in Emergency Situations! In the chaos of an emergency room, seconds can mean the difference between life and death. The pressure on medical professionals to make split-second decisions is immense. As technology advances, the integration of Artificial Intelligence (AI) in triage processes is becoming a hot topic. The idea of AI determining who receives care first in emergency situations is as revolutionary as it is controversial. AI in Emergency Triage Proponents of AI in emergency healthcare highlight its potential to save lives by enhancing efficiency and accuracy in triage. AI algorithms can process vast amounts of data swiftly Identify critical cases faster than humanly possible. By analysing symptoms, medical history, and vital signs, AI can prioritise patients based on the severity of their conditions, ensuring that those in dire need receive immediate attention. AI could instantly assess and categorise patients based on their urgency, reducing wait times and potentially saving lives but also making decisions that could cost lives. A Double-Edged Sword ⚔ Critics argue that relying on AI for such critical decisions risks dehumanising patient care. The fear is that AI might overlook nuanced, non-quantifiable factors that human doctors consider, such as a patient's emotional state or unique social circumstances. Moreover, the implementation of AI in triage raises questions about accountability. In cases where AI makes a wrong call - Would the blame fall on the developers of the AI, the medical staff who implemented it, or the institution that adopted the technology? Bias in Algorithms: A Dangerous Pitfall One of the most contentious issues is the potential for bias in AI algorithms. If the data used to train these systems reflects existing biases in healthcare. Studies have shown that algorithms can exhibit racial and gender biases, which could lead to unequal treatment of patients. For example, an AI system might prioritise patients based on biased historical data, resulting in marginalised communities receiving suboptimal care. The Future of Emergency Care The integration of AI in emergency triage is an exciting yet contentious frontier. Done right, AI could transform emergency care, making it faster, more accurate, and ultimately, more equitable. The challenge lies in navigating the complexities to ensure that in the race to save lives, no one is left behind. What's your views? Is this a step too far? #aiinhealth #healthtech #techforgood

Utilizing artificial intelligence in healthcare: A comprehensive overview #AIinHealthcare 🤝 Download 1 Million Logo Prompt Generator 🔜 https://wapia.in/1mlogo 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: Dr. AI is bringing artificial intelligence to medical practices, promising improvements in healthcare. AI is revolutionizing research, diagnosis, and treatment in the medical field. However, there are concerns about the limitations and potential pitfalls of AI, including bias and errors. Experts emphasize the importance of human oversight and caution against relying solely on AI for medical decisions. While AI offers many benefits, it is not a replacement for the empathy, insight, and perspective that human healthcare providers bring to patient care. Hashtags: #chatGPT 1. #AIinHealthcare 2. #HealthTechAI

#AI in #Healthcare: The Future is Here! #DRPHIL Ai is everywhere, and the healthcare industry is no exception. Did you know that by 2030, 10% of nursing tasks will be AI-based? And listen to this: doctors and hospitals are expected to spend a whopping $187 billion on AI in the next six years, according to Quickbase's Project Management Survey. More doctors are relying on robots for surgeries, with the market projected to be worth $4 billion in just two years! Today, we’re not only following the money but also exploring the pros and cons of utilizing AI in medicine. 🩺 **Pros of AI in Healthcare:** - **Efficiency:** AI can make appointments, reducing the hassle of phone tag. - **Accuracy:** AI reads CAT scans in real-time, alerting doctors about critical conditions like strokes. - **Augmentation:** AI supports doctors, especially during high-stress situations, ensuring they perform at their best. 🤖 **Cons of AI in Healthcare:** - **Bias:** Human errors in programming can lead to biased AI decisions. - **Privacy:** AI systems must be secure to prevent data breaches. - **Legal Concerns:** Misuse of AI can lead to legal issues, but not using it might also pose risks. Despite the rapid advancement, the human touch in medicine remains irreplaceable. Empathy and personal care are at the heart of healthcare. As an ER physician and AI expert, Dr. Harvey Castro points out, "AI plus humans will be better than without AI." 🔍 What are your thoughts on AI in healthcare? Share your experiences and insights in the comments! #HealthcareAI #AIFuture #MedTech #DigitalHealth #AIRevolution #MedicalInnovation #TechInHealthcare #PatientCare #HealthcareTransformation #AIProsAndCons

see Michael Charles Borrelli Responsible AI for a better world 1. The EU AI Act recognizes the significant potential of AI technologies in healthcare, emphasizing both the opportunities and the challenges they present. 2. AI systems in healthcare can offer substantial benefits, such as: 2.1 Improved prediction 2.2 Optimization of operations 2.3 Personalization of digital solutions for individuals and organizations 3. These technologies can support key competitive advantages for businesses and contribute to socially and environmentally beneficial outcomes in various sectors, including healthcare. 4. The Act acknowledges the risks associated with AI systems in healthcare, particularly when classified as high-risk AI systems. 4.1 AI systems intended for risk assessment and pricing in health and life insurance are considered high-risk due to their significant impact on individuals' livelihoods. 4.2 Improper design, development, and use of these systems can infringe fundamental rights and lead to serious consequences, including financial exclusion and discrimination.

Educating the Patient with Nursing Oversight and finding medical errors are 2 great AI use cases. AI can be used to help create a safer health system - reduce medical errors (3M deaths/year in the world - World Health Organization), using AI to help more patient adherence to the right treatment plan (“nonadherence is responsible for an estimated 125,000 deaths and between $100 to $300 billion in medical costs annually”). https://lnkd.in/gj2KeZat https://lnkd.in/gkaci8pi

🌟 The Dawn of AI in Healthcare: A New Era of Innovation and Compassion 🌟 I recently came across an insightful piece on AI in Healthcare by Harvey Castro, MD, MBA. One key takeaway that caught my eye was the staggering growth projections: By 2030, AI in healthcare will cost $187.95 billion, enhancing efficiency, accuracy, and support for healthcare professionals. These numbers aren’t just figures; they represent a seismic shift towards smarter, more efficient healthcare systems. Reflecting on my own experience with integrating AI to support medical professionals and improve patient outcomes, I see AI not only enhancing operational efficiencies but also revolutionizing patient care through advanced diagnostics and personalized treatment plans. However, amidst this tech-driven transformation, the essence of healthcare remains unchanged—our human touch and empathy. While AI can augment efficiency and accuracy in critical tasks, the human touch remains irreplaceable in providing empathetic care. As we integrate AI, balancing these innovations with the irreplaceable value of human interaction becomes our paramount challenge. Let’s engage in this crucial conversation: How do you see AI transforming healthcare in the next decade? How do we ensure that our strides in AI not only advance healthcare but also enhance the patient-caregiver relationship? Share your thoughts and experiences in the comments below. #HealthcareAI #DrPHIL #MedTech #DigitalHealth #AIFuture #MedicalInnovation #TechInHealthcare #PatientCare #HealthcareTransformation #AIProsAndCons

Cedar-Sinai tests AI tools to ease caregiver burden #healthcare 🤝 Download 1 Million Logo Prompt Generator 🔜 https://wapia.in/1mlogo 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: Cedar-Sinai is testing artificial intelligence tools to assist caregivers and reduce obstacles in their work. The goal is to streamline processes and improve efficiency in healthcare. The AI tools are being piloted at Cedar-Sinai to determine their effectiveness in easing the workload for caregivers. This initiative aims to enhance the overall quality of care provided to patients by leveraging technology to support healthcare professionals. Hashtags: #chatGPT #AIcaregiverassistance #frictionlesshealthcare

Artificial Intelligence in Healthcare: Revolutionizing Patient Care In recent years, Artificial Intelligence (AI) has become a game-changer in healthcare, making a real difference in how patients are treated and cared for. It's like having a personal assistant for doctors, helping them tailor treatments and predict outcomes that seemed impossible a few years ago. In personalized medicine, AI delves deep into patient data, finding patterns and connections that even the sharpest human minds might miss. This means treatments can be customized to fit each person's unique needs. And when it comes to diagnosis, AI can analyze medical images with incredible speed and accuracy, spotting signs of disease that human minds may overlook. This early detection means quicker treatment and better survival rates in terms of life-threatening diseases like cancer. In addition to its clinical applications, AI also assists with administrative tasks within healthcare facilities. It sorts and organizes the forms and records, leaving doctors and nurses with more time to focus on their patients. And speaking of patients, it provides accessible support and information through virtual assistants and chatbots, available anytime, anywhere. Furthermore, AI is predicting who's at risk for complications and monitoring vital signs in real-time, helping doctors intervene sooner and prevent problems before they escalate. In the end, AI isn't just changing the healthcare industry, it's transforming it, one patient at a time. And as it continues to evolve and improve, the future of healthcare looks brighter than ever before. #HealthTech, #AIinHealthcare, #PersonalizedMedicine, #MedicalAI, #MedicalInnovation, #HealthcareTechnology, #DigitalHealth, #HealthcareTransformation