Dr Ammar Abuajamieh - الدكتور عمار ابوعجمية

07/06/2026

There's this weird thing that happens in medicine where we become so focused on the diagnosis that we forget to actually listen to the patient sitting in front of us. 🩺

I had a patient come in last week with chest pain, and every instinct told me to jump straight into the protocol. EKG, bloodwork, imaging. But something made me pause and actually ask them what was going on in their life. Turned out they'd just lost their job, hadn't slept in three days, and were absolutely spiraling with anxiety.

Was it a heart problem? No. Was it real pain? Absolutely.

This is where I think we mess up as healthcare providers. We're trained to rule out the worst case scenario first, which makes sense. But somewhere along the way, we decided that meant dismissing everything else. We've got our checklists and our algorithms and our "evidence, based" protocols, and they're genuinely useful. But they can also make us lazy listeners.

The patient who feels heard is the patient who actually follows your treatment plan. The patient who feels like you actually see them is the one who comes back. The patient who knows you care about more than just their symptoms is the one who trusts you.

That doesn't require extra time. It just requires presence.

How many times have you felt truly listened to by a healthcare provider? What made the difference? 👂

07/06/2026

Just read the latest AMA data and it hit different. Emergency medicine is sitting at 49.8% burnout across the specialty. That's nearly one in two doctors I know dealing with emotional exhaustion, depersonalization, and that hollow feeling of reduced accomplishment. 🏥

What's wild is that this isn't some abstract number. I watch colleagues leave shifts looking completely drained. Not because they had a bad day. Because they've had 1, 000 good days in a row and the system just keeps asking for more.

The research keeps pointing to the same culprits: documentation eating up 1.5 to 2 hours for every hour of actual patient care. Staffing shortages. Bureaucracy instead of medicine. Throughput metrics that treat humans like widgets on a conveyor belt.

But here's what I've noticed actually shifts things: when leadership stops asking "How do we see more patients?" and starts asking "How do we give our team breathing room?" That's when people stay. That's when they remember why they became doctors.

If you're in emergency medicine, how's your team doing right now? And more importantly, what's one thing your department could actually change this month? 👇

Burnout rates are falling overall, and even some hard-hit specialties improved. But AMA exclusive data shows differences across physician specialties remain.

07/06/2026

So I just read that OpenAI's o1 model outperformed physicians in identifying exact or close diagnoses in emergency room cases. 🤖 And my immediate reaction wasn't panic, it was curiosity.

Look, we've all felt it. That moment in the ER where you're juggling incomplete data, vital signs all over the place, and you've got maybe 30 seconds to make a decision. The human brain is incredible but also... we miss things. We get tired. We anchor on the first diagnosis we think of.

But here's what I actually found interesting in the research: AI doesn't replace the ER doctor, it just changes what the ER doctor needs to be good at. Instead of grinding through differential diagnoses from memory, you're now the one asking the right questions, validating the tool's output, catching when something doesn't fit the clinical picture.

The real skill becomes pattern recognition on a different level. You're checking the AI's work like you'd check a colleague's reasoning. You're the one who knows the patient's story, the social context, the things that don't show up in lab values.

Anyone else working with AI tools in your practice? What's actually changing about how you approach diagnosis? 💭

Large language model excels at clinical decisions, even in fast pace of a simulated ER

07/06/2026

Just came across something that made me uncomfortable, and I think more ER docs should be talking about it. 🤔

AI hallucination. It's when language models confidently generate information that's completely wrong. And I mean confidently. Not like a human doctor who second, guesses themselves, but like an AI that presents false information with absolute certainty.

In most fields, that's annoying. In emergency medicine, it's dangerous. You're already operating under time pressure. You don't have 20 minutes to fact, check every output. You need to trust what's in front of you.

The research is clear on this: AI is strongest with common presentations. Sepsis, stroke, MI, respiratory distress, we're seeing real predictive power. But edge cases? Rare combinations? That's where the algorithm can confidently steer you wrong.

So if you're implementing any AI tool in your ED, this is non, negotiable: validation protocols. You have to build in moments where the human clinician is actively checking the AI's reasoning, not just accepting recommendations because they came from a machine.

It's not that AI can't be useful. It's that we need to be honest about what it can and can't do, especially when lives are on the line.

How are you thinking about integrating AI into your practice while keeping safety as the priority? What's your approach to validation? 💉

07/06/2026

You know what's wild? We're living in a time where literally anyone can access powerful AI tools for free, and most people still don't know what they're missing. 🤖

I was thinking about this the other day while chatting with a colleague about how we could streamline patient intake forms. There are so many free chatbot options out there now, ChatGPT included, that can handle repetitive questions and free up actual human time for what matters.

But here's what gets me. A lot of healthcare providers are still manually answering the same questions over and over. "When are your hours?" "Do you take insurance?" "What should I bring to my appointment?" These are golden opportunities to let automation work for you.

The best part? You don't need a huge budget or a tech team. The tools exist. They're accessible. They integrate into your website or messaging apps in minutes.

So why aren't more of us using them? Is it skepticism about AI? Worried about losing the personal touch? Or just haven't gotten around to it yet?

I genuinely want to know what's holding you back. Are you already using chatbots in your practice or business? What's your experience been? 💬👇

07/06/2026

Been thinking about the gap between what tools are available and what we actually use during a shift. 🏥

There are clinical decision support platforms now that can handle rapid differential diagnosis, sepsis screening, stroke protocols, real, time drug dosing during resuscitation. All built for the exact chaos of the ED. And the data is solid, 130 million ED visits per year in the US alone, diagnostic errors in about 5.7% of encounters.

But talk to an ED doc about their workflow and you hear the same thing over and over: "If it slows me down during active resuscitation, I'm not using it."

That's not a tool problem. That's a workflow problem. A tool that makes sense on paper but doesn't fit how you actually move through a shift? It sits unused. Or worse, it creates friction exactly when you need speed.

This is why I keep saying the future of healthcare tech isn't the fanciest algorithm. It's the tool that integrates so smoothly into what you're already doing that you forget you're using it. The tool that gives you evidence without making you stop and think about how to ask for it.

What's the biggest workflow bottleneck in your department right now? The thing that slows down decision, making when every second counts? 👇

07/06/2026

Instagram doesn't actually let you see who visits your profile. I know, disappointing right? 📱

But here's what I found interesting while reading through the latest testing on this. People are obsessed with tracking visitors, yet Instagram keeps that data locked down for privacy reasons. And honestly, that's the right call.

What most business owners don't realize is that the real gold isn't in a visitor list anyway. It's in the signals you can actually access. Who's watching your stories? Who's liking your posts? Who's sliding into your DMs? Who's saving your content?

Think about it like patient data in a hospital. You don't need to know every single person who walked past your clinic. What matters is knowing who actually came inside, who booked an appointment, who followed your treatment plan, and who came back.

The article breaks down seven actual methods that work, from Instagram Insights to tracking engagement patterns. But the real strategy? Stop chasing the visitor count and start building content that makes people want to engage with you repeatedly.

If you're running a business account, are you actually using Instagram Insights to see what's converting? Or are you just posting and hoping? 💭

What metric do you check most often?

Inspire to Thrive

Discover how to see who views your Instagram profile the most in 2026 easily. Try our free tools + expert advice from Inspire To Thrive.

07/06/2026

One thing nobody tells you in medical school is that staying in medicine isn't just about being smart enough or resilient enough. It's about working somewhere that actually values you.

The latest data shows intent to leave medicine within two years dropped to 31.1%, which sounds good until you realize that's still nearly one in three physicians planning an exit. Meanwhile, specialties like emergency medicine and hematology/oncology are sitting near 50% burnout, and that number doesn't just happen because people are weak or uncommitted. 💔

I've trained alongside brilliant doctors who left not because they couldn't handle the work, but because they couldn't handle the disrespect that came with it. The feeling that their time didn't matter. That efficiency metrics mattered more than their humanity.

What actually moves the needle isn't motivational posters or wellness days. It's structural change: giving teams control over their schedules, offering real career flexibility, mentoring the next generation properly, and creating actual space for professional growth.

It's weird because the research is clear. The solutions are clear. But implementing them requires leadership to stop pretending burnout is an individual problem and start treating it like what it actually is: an operational problem.

If you're leading a team, what's one structural thing you could change right now that would actually reduce the burden on your people? That's the question worth asking. 🔄

Among all medical specialties, emergency medicine is the single most likely to burn out its practitioners.

07/06/2026

Spent the morning looking at burnout research and something keeps nagging at me. The data shows physicians are spending 15 to 20 hours per week on documentation, much of it on personal time. That's basically a second full, time job that nobody's paying you for. 📋

I've been in the ER long enough to know that paperwork wasn't why I went to medical school. It wasn't why any of us did. We wanted to diagnose problems, not navigate software designed by people who've never worked a shift.

What gets me is that the solutions exist. Better EHR systems. AI tools that actually reduce admin burden instead of creating new forms. Scheduling that respects life instead of just squeezing more hours out of people. Staffing fixes that mean you're not covering three roles at once.

But implementing those solutions requires someone to say "our team's wellbeing is not a nice, to, have, it's how we actually deliver better care." Because burned out doctors make mistakes. Burned out doctors leave. And burned out doctors stop caring, which is the saddest outcome of all.

You can't think clearly when you're drowning in paperwork. You can't be present with patients when you're emotionally exhausted. That's not a personal failure. That's a system failure.

What would change for you if just one administrative burden disappeared tomorrow? 💭

07/06/2026

So I just read about someone who spent 14 years building a blog, only to realize their entire organizational structure was basically a filing cabinet from 1995 🤦‍♂️

And honestly? I get it. We all do this in medicine too. You start your practice or your medical content with a simple system that makes sense at the time. Then years go by, you add more specialties, more topics, more cases, and suddenly nobody can find anything anymore.

The guy literally torched his entire category structure and rebuilt it from scratch. Manually recategorized hundreds of articles. Sounds painful, right? But here's what stuck with me: he restructured everything around a patient journey instead of random labels. Start, Build, Grow, Monetize, Tools.

It got me thinking about how we organize medical knowledge. Do we present it the way it actually helps people learn? Or do we just dump information and hope they figure it out? 🤔

Have you ever had to completely restructure something you built years ago? Was it worth the headache? Drop your thoughts below, I'm genuinely curious how many of you have gone through this kind of overhaul. 👇

Blogging Wizard

I deleted 14 years of blog categories and started from scratch. Here is the strategic blueprint I used to fix my site structure, improve UX, and align with the modern search landscape.