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Precision Note is an AI-powered clinical documentation platform that turns doctor patient conversations into accurate medical notes in real time. The challenge was creating a brand that could simplify complex healthcare technology while building trust with clinicians. We designed a clean, calm, and precise brand identity that communicates reliability... show more

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43,583 görüntüleme • 8 ay önce •via X (Twitter)

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American Surgeon shows the actual letter from UnitedHealthcare DENYING a patient in emergency condition from receiving care “This is a woman who was in the emergency room with pulmonary embolisms” “I think we all knew this would happen. I had another patient come in and share with me that UnitedHealthcare denied her inpatient's day. So this is a patient who had shortness of breath and some chest pain, and she just knew that something wasn't right in her body. She had a family history of blood clots and she'd had a deep flap surgery a couple of weeks ago. She went to the hospital and they saw her and they found that she had a life threatening condition known as pulmonary embolisms. So she was admitted to the hospital and taken care of really well by the doctors there. And they ordered all the right things. After a couple of days, she was discharged. She got a letter from UnitedHealthcare explaining that they didn't agree with the level of her care and that they would not cover it. So I'm gonna share some of the language of that letter with you, and I want you to know that my patient that we talked about previously who had her surgery denied had almost exactly the same letter shared. So there's some troubling things in this letter. I think this term is really interesting. United is saying they reviewed the request for inpatient admission. So let's all just pause and consider that. This is a woman who was in the emergency room with pulmonary embolisms, and the doctor wasn't really requesting anything. They were saying this patient needs to be in the hospital. But an insurance company sees this as a request, and that's part of this prior auth environment that we're living in. So I think it's important as patients and as physicians to just acknowledge that this is our reality now. Someone can think that there's a good medical decision for you and can write orders and wanna do the right thing for you, but your insurance company is seeing that as a request and deciding whether or not they wanna do it. One of the criteria that this insurance company used to decide whether or not to accept or deny this request was whether it's medically necessary. And it's so interesting that we're letting insurance companies and the doctors who work for insurance companies determine what's medically necessary and not just the doctor in front of the patient in the emergency room. So this is a really bold statement from UnitedHealthcare for my patient. They say you did not have to be admitted as an inpatient to the hospital for this care. I think we all need to just reflect on that. An insurance company is telling a patient and her doctor that they disagree with the plan of care to keep that patient safe. I know that this is boiling down to whether it's an inpatient admission or an observation admission, and that's really about money. But what I wanna point out to you is they're making medical decisions. This insurance company is actually weighing in and disagreeing with a doctor who made a medical decision to admit this patient for her safety. So this specific sentence, when a doctor or facility treats a patient above the recommended level of care, we cannot cover it. What the heck? That's what we do. We go above and beyond as physicians. It's clear that insurance companies don't, and they're actually saying it here.”

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I'm seeing more studios and in-house teams building brand-specific visual tools. They generate on-brand backgrounds, illustrations, and compositions. Custom outputs that feel native to the identity. This fractal glass effect generator by Studio Justified for Indicium AI is a good example. I'm also seeing designers creating these for their own workflow or sharing them with the community. Currently collecting the best ones for a new project. If you've made one or came across something interesting, drop it below!

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There is no algorithm that can replace the instincts of an experienced physician when faced with a patient in need. When the doctor who saw this patient in the Emergency Room examined her, spoke with her, and decided to admit her, I know that he did so because he knew best how to keep her safe. I am grateful. I am disturbed that her insurance company questioned that judgement and presumes to know better than the doctor in front of her. The following statement in the denial letter says so much about the current state of healthcare: “When a doctor or facility treats a patient above the recommended level of care, we cannot cover it.” This does not pass the sister test. I’ll take the best judgement of the doctor who was physically present at the bedside of a frightened patient over an insurance company’s algorithm every time. And I refuse to accept that this is the best we as a society can do.

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NEW: Video showing how the NHS Federated Data Platform is providing clinicians and administrators with real-time data to accelerate treatment and improve patient care at North Cumbria Integrated Care NHS Foundation Trust. 📣 “We’re maximising patient safety. We’re maximising the efficiency with which we move patients through the pathways, so they get their treatment as fast as possible without undue delay.” 📣 ”We started off with 12 patients an hour. And now we’ve got people doing 45 patients, which is more than ever. The most important thing for us now is - we actually know how many true waiters we have. We didn’t know that before.” Great to hear such positive feedback from NHS staff on the ground at North Cumbria Integrated Care NHS Foundation Trust.

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Revolutionizing Bladder Cancer Diagnosis with ZayaAI We heard you Zayans, From our last videos we understood you all want a much easier to understand explanation of our AI models. So let's dive into the latest breakthrough in AI-powered healthcare, our Bladder Cancer Detection Model. This isn't just another AI tool, it's a game-changer for pathologists. Precision, Speed and Seamless Integration: Traditional diagnosis of urothelial carcinoma (bladder cancer) is often slow and prone to errors. Our AI model automatically detects low and high-grade tumors, along with lymphovascular invasion, with unmatched accuracy and speed. That means faster results, fewer mistakes and a more efficient workflow for medical professionals. Why This Matters: 1.Faster Diagnoses → AI speeds up the process, allowing pathologists to focus on critical cases. 2.Higher Accuracy → Reduces human error and reliance on costly, time-consuming tests. 3.Seamless Integration → No need for complex system overhauls. ZayaAI fits right into existing workflows. The Future of AI in Healthcare: Embracing our AI models isn’t just about using new technology, it’s an investment in a future where healthcare is more precise, efficient and patient-focused. Pathologists get to make faster, more informed decisions and ultimately, patient outcomes improve. This is how AI is redefining medical diagnostics and can help save lives. DeSci + AI = $ZAI ! 🔬⚕️

ZayaAI

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