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ARTIFICIAL INTELLIGENCE and it's Application in healthcare Here are seven examples of how AI is transforming healthcare: 1. Virtual Nursing assistants: AI-powered chatbots and voice assistants are being used to help patients manage their health, track medications, and stay connected with their healthcare providers. 2. Medical imaging Analysis: AI algorithms can help radiologists and other medical professionals analyze medical images such as X-rays, MRIs, and CT scans more accurately and quickly. 3. Predictive Analytics: AI-powered algorithms can analyze large amounts of patient data to identify patterns and predict disease risks, enabling healthcare providers to intervene earlier and prevent more serious health problems. 4. Robotic Surgery: AI-powered robots are being used to assist surgeons in complex procedures, enabling greater precision and reducing the risk of complications. 5. Personalized Medicine: AI algorithms can analyze a patient's genetic data and other health information to develop personalized treatment plans that are tailored to their individual needs. 6. Chronic Disease Management: AI-powered tools can help patients with chronic conditions such as diabetes, asthma, and heart disease monitor their symptoms, track their medications, and receive personalized support and guidance. 7. Mental Health Support: AI-powered chatbots and virtual assistants are being used to provide mental health support and therapy to patients, helping to fill the gap in mental health services and reach more people who need help.

You're not alone if you're hesitant about using AI in healthcare. 🤖 Anything that garners so much attention so fast should rightfully give you pause. Especially when patient safety could be impacted. However, there are very safe ways you can start using AI at your surgery center today that have virtually no risk and will still save you tons of time. Here are three examples.  1️⃣ Creating Staff Schedules   ▪ Prompt: "I have 5 nurses: Jenna, Daniel, Marie, Emma, and Caleb. Our morning shift runs from 7am-3pm and the day shift is 11am-5pm. We are open Monday-Friday. Jenna cannot work Tuesdays, and Emma cannot do the day shift. Can you please create the schedule for August?"   ▪ Benefits: Streamlined scheduling, reduced administrative burden, and an unbiased schedule. 2️⃣ Patient Education   ▪ Prompt: "Can you create a one-page document explaining CPT 27447, recovery time, and FAQs for an outpatient setting? Please explain in layman's terms." ▪ Benefits: Reduced patient questions, enhanced patient safety, and improved outcomes. ▪ In this instance, you will definitely want to review the output for accuracy and make necessary tweaks, but it should get you 90% of the way there. 3️⃣ Post-Op Instructions ▪ Prompt: "Can you write simple post-op instructions for a patient who just had cataract surgery? Use a compassionate and direct tone with little to no advanced medical jargon." ▪ Benefits: Higher patient compliance, better outcomes, and happier patients. ▪ Similar to the above example, you'll want to review thoroughly and ensure the instructions align with your ASC's policies and physician recommendations. But starting with AI will help will save you significant time. Note: These examples below all use #ChatGPT, but you can still use these use cases and prompts if you prefer a different #AI tool.

6/30 Future of Medicine How Hippocratic AI is Transforming Healthcare The healthcare industry is facing a critical shortage of workers, putting patient safety and access to care at risk. But what if cutting-edge technology could help bridge this gap? Enter Hippocratic AI Hippocratic AI's innovative constellation architecture, Polaris, is designed with safety as its guiding principle. This system features a primary conversational AI agent supported by multiple specialized agents, all working together seamlessly. The primary agent interacts with patients naturally, building trust and rapport while following care protocols. Backed by specialist agents focused on tasks like prescription adherence and lab result interpretation, Polaris ensures every interaction is accurate, safe, and empathetic. Real-World Impact: AI Enhancing Patient Care 💡 Imagine routine patient-facing tasks handled by AI, freeing up human healthcare workers to focus on more critical care aspects. That’s the promise of Hippocratic AI. For instance, their medication specialist agent verifies prescriptions and provides dosage instructions, while the lab specialist agent interprets and contextualizes lab results. A standout feature is the "human intervention specialist" model, detecting unsafe medical situations and immediately transferring the conversation to a human nurse, ensuring critical conditions get the attention they need. Rigorous Training and Stellar Results 🌟 Polaris didn’t become a game-changer overnight. It underwent extensive training with a vast dataset of healthcare conversations and clinical documents. Simulated conversations between patient actors and registered nurses provided real-world feedback, ensuring the AI was ready for prime time. The results? Impressive! In evaluations, study participants rated the AI agents on par with U.S. licensed nurses in empathy, medical safety, and overall conversation quality. Here’s the exciting part: - Medication impact identification:Polaris outperformed real nurses 79% to 63% - Identifying condition-specific OTC medication issues: Polaris scored 88% compared to 45% for nurses - Lab value comparison to reference range: Polaris achieved 96%, while nurses scored 93% -Detecting toxic dosages of OTC drugs: Polaris scored 81% compared to 57% for nurses The Vision for Tomorrow 🚀 Hippocratic AI is moving into phase three testing, involving thousands of licensed healthcare professionals. Their goal is to revolutionize healthcare by enabling human workers to operate at their full potential, enhancing patient care and safety. Their partnership with Nvidia underscores the incredible potential of AI to form empathetic and efficient connections with patients, moving us towards a more proactive, affordable, and equitable healthcare system. #Healthcare #AI #Innovation #FutureOfMedicine #HippocraticAI #Polaris #Nvidia #HealthcareInnovation #ArtificialIntelligence #PatientCare #MedicalTechnology

Healthcare AI News 7/24/24 – HIStalk - HIStalk Title: Healthcare AI News 7/24/24 – HIStalk #AI in Radiology AI is revolutionizing radiology with its ability to analyze images quickly and accurately, leading to improved diagnostic accuracy and efficiency. #RadiologyAI #AI-Powered Chatbots Chatbots powered by AI are transforming patient engagement by providing instant responses to inquiries and streamlining communication between patients and healthcare providers. #ChatbotAI #AI in Drug Discovery AI is being utilized in drug discovery processes to identify potential drug candidates faster and more efficiently, ultimately speeding up the development of new medications. #DrugDiscoveryAI #AI in Personalized Medicine AI is enabling personalized medicine by analyzing individual patient data to tailor treatment plans and predict patient ai.mediformatica.com #data #histalk #chatgpt #compliance #documentation #news #nursing #technology #abridge #audit #dataloprevention #epic #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/3WAufkt)

The Potential of AI in Revolutionizing Medicine In the ever-evolving landscape of healthcare, advancements in technology have brought about improvements in patient outcomes, yet the costs of medical care have soared. Physicians, on average, continue to see around 20 patients per day, a number that has remained relatively stagnant over the years. To address these challenges, there is a growing interest in leveraging Artificial Intelligence (AI) to enhance the efficiency and effectiveness of medical care. AI has the potential to significantly reduce the administrative burden on physicians, allowing them to focus more on patient care. By automating tasks such as scheduling, chart review, and researching treatment options, AI systems can save physicians valuable time. This could lead to more efficient healthcare delivery and potentially lower costs. Moreover, AI-based intelligent agents can serve as valuable assistants to physicians, similar to how nurses and medical technicians support them. These agents can aggregate medical records, summarize cases, analyze diagnostic test results, suggest treatment options, and monitor patient progress. By streamlining these activities, AI can help maximize the limited time physicians have with each patient, ensuring that every interaction is as productive as possible. As healthcare moves towards precision medicine, AI's role becomes even more crucial. AI can analyze outcomes data from similar patients to tailor treatment decisions, predict therapy responses based on patient-specific simulations, and coordinate treatment decisions across patients to maximize information gain. These capabilities have the potential to revolutionize healthcare, enabling more personalized and effective treatments. However, it is essential to approach the integration of AI in healthcare with caution. Rushed development and deployment of AI algorithms can lead to disparities in care and, in worst cases, harm patients. Therefore, it is crucial for all stakeholders in healthcare to educate themselves about the capabilities and limitations of AI to ensure that its integration benefits patients and clinicians alike. In conclusion, AI has immense promise in transforming medicine by automating tasks, assisting decision-making, and enabling personalized treatments, which can improve patient outcomes, enhance healthcare efficiency, and reduce costs. However, cautious and responsible implementation is essential to fully harness AI's potential in healthcare. #healthcare #technology #patientoutcomes #medicalcare #physicians #artificialintelligence #efficiency #effectiveness #administrativeburden #patients #scheduling #chartreview #treatmentoptions #healthcaredelivery #intelligentagents #nurses #medicaltechnicians #medicalrecords #cases #diagnostictestresults #treatmentoptions #patientprogress #precisionmedicine #outcomesdata #treatmentdecisions #therapies #patientspecificsimulations #integration #disparitiesincare #benefits

As a student nurse, I’m excited to witness how Artificial Intelligence (AI) is transforming the way we approach healthcare. From AI-assisted surgeries to advanced diagnostics and personalized medicine, we are entering an era where technology is enhancing patient outcomes like never before! 💡 Imagine AI systems analyzing vast amounts of patient data in real time, allowing healthcare professionals to make quicker, more accurate decisions. Or robot-assisted surgeries, where precision is key, helping to reduce recovery times and improve patient safety. What excites me the most is the potential for personalized treatments—AI can tailor medical care to the unique needs of each patient, improving their quality of life and ensuring the right treatments at the right time. The future of healthcare is here, and it’s powered by AI! How do you see AI shaping the healthcare industry? #LinkedonLinkedIn #LinkedonLinkedIn21dayschallenge #LinkedInOptimization #AI #HealthcareInnovation  #AIinHealthcare #Nursing #PatientCare #PersonalizedMedicine #TechInNursing #FutureOfHealthcare #StudentNurse Day 2/21 with Linked On LinkedIn

How Can AI Chatbots Help Docs Tailor Patient Education?

In the past year, AI has threatened to take over jobs and disrupt the marketplace. ❗ However, AI is not as scary as we think. Particularly in healthcare, AI offers a glimpse into unprecedented growth. 👉 The AI in healthcare market is expected to be worth almost 188 billion U.S. dollars by 2030, increasing at a CAGR of 37 percent from 2022 to 2030. (Precedence Research) As the market expands, AI will vastly improve patient care and treatment. Still not convinced? Here are eight more reasons for a positive outlook: 1️⃣ Advancing regulations Since 2015, the FDA has been establishing a dedicated system and database for AI-based medical technologies. AI applications in dentistry must also comply with current healthcare regulations, including medical devices and patient data protection. 2️⃣ Addressing gaps WHO estimates a projected shortage of 10 million health workers by 2030 with increasing numbers of patients and fewer healthcare providers. AI can provide interim care and make healthcare visits more efficient. 3️⃣ Expanding virtual care Since the pandemic promoted the implementation of remote healthcare services, AI has played a crucial role in analyzing data and supporting doctors in expanding outreach and providing efficient virtual care. 4️⃣ Simplifying understanding Despite AI's complexity, more healthcare providers are gaining a basic level of understanding of it for practical use. The rise of educational initiatives is also demystifying AI and familiarizing people with the technology. 5️⃣ Proven safety and efficacy Clinical trials and peer-reviewed studies are continuing to validate the use of AI in various medical applications, building trust and credibility in AI-driven interventions. 6️⃣ Unmatched cognitive capabilities AI will not replace human caregivers as it is more adept at handling cognitive tasks such as analyzing data and performing diagnostic tasks. 7️⃣ Experiencing AI firsthand The increasing accessibility of tools like ChatGPT has allowed physicians and patients to directly experience the benefits of AI and foster a broader understanding and acceptance of it. 8️⃣ Boosting patient retention rates AI can optimize scheduling and other processes to improve patient outcomes and care. With AI, Patient Prism has analyzed over 21 million patient calls to enhance patient experiences. In our case study with Diamond Valley Dentistry, we helped them boost their conversion rate up from 55% to 70% in one month using AI software to answer patient calls. AI won’t be going away any time soon, so let’s continue to embrace this technology and use it to fuel our growth. What are your thoughts? Patient Prism - leveraging AI to enhance patient care and drive more appointments by 90%. #artificialintelligence #healthcare #innovativesolutions

ICYMI: Here's what's going on This Week in Surgery Centers.   ⬇️ Boston Children's Hospital decreased its OR turnover times from 42 minutes to 36 minutes (14%) by introducing a new hybrid role called the OR Assistant (ORA). The concept is based on a NASCAR pit crew. The hospital also saw improvements in dust control and overall workplace culture, and the ORAs felt more valued and integrated into the team. [Source: Outpatient Surgery Magazine] 🎓 How can you attract and hire students fresh out of college? Offer preceptorship opportunities, proactively establish a strong relationship with educational institutions, partner with organizations like the National Institute of First Assisting to provide perioperative educational training, clarify in your online job postings you welcome new grads, and create a welcoming and supportive environment. [Source: Ambulatory Surgery Center Association / ASC Focus]  🚗 Uber Health unveiled Uber Caregiver, a solution that allows caregivers to coordinate rides and deliveries on behalf of the people they care for. The app has the potential to be an excellent option for some of your patients to help them get to and from surgery and reduce last-minute cancellations. [Source: MedCity News] 🤖 A recent study found that large language models – a type of generative AI – can accurately determine which patients in an emergency department need to be seen more urgently. When given pairs of patient histories, these AI models could pick the higher-acuity patient with 89% accuracy. [Source: Healthcare Dive] Check out the full stories on Apple Podcasts, Spotify, or YouTube!   #HealthcareNews #ThisWeekinSurgeryCenters #TWISC 

Making Sense of Data Streams for Medical Decision-Making By Paul Pender, MD The JAMA Network interview[1] between an anesthesiologist-tech guru and a primary care physician discussed what artificial intelligence can and cannot do for healthcare.  Humans understand nuance; machines don’t.  Machines gather data but may draw inconsistent conclusions (hallucinations).  Wearables tend to get people aware of themselves, of their body and its level of activity.  When comparing behavior patterns (e.g. number of steps per day) individuals gain a sense of community.  The interviewee has recorded activity parameters for a study group of 7000 patients over many years.  Tons of data are available to analyze, but what enables behavior change?  Identifying the obstacles patients face and looking at the complete movie, rather than the snapshot of health in a 15-minute office visit, is what the physician should be looking for.  We don’t yet have a reliable system to allow good decision-making from the raw data. The interview discussed the need for qualitative analysis, not just quantitative collection of information.  We are at a point where tech is being hyped, but that there are gaps in interpretation of data.  Taking the patient’s avatar and saying if changes are not made, the consequences are not favorable may not be enough to cause a change in behavior.  What seems to work is the encouragement of a stranger on a watch as a motivator, like a running buddy. To improve the healthcare system, more than data crunchers are needed, including ethicists, patient advocates and the “soft” influence of the psychology of behavior change.  The WSJ has reported venture capital pulling away from digital health since 2022.  We are now facing the AI revolution where the hype outweighs the value.  Showing how AI can be a helpful guide for decision making is what is needed. [1] https://lnkd.in/g48M-3hb