I’ll be honest, allergy care is complicated.

Doctors like me daily manage a mountain of patient history, insurance requirements, treatment protocols, and documentation while trying (and sometimes failing) to avoid burnout. 

For years, we did everything manually: taking paper notes, typing every detail, remembering everything from memory, or using scribbled shorthand.

It’s too much. Thankfully, this chaos has just been alleviated by OpenEvidence AI, which I use up to 15 times a day.

Here’s how this new AI is changing everything for patients and doctors.

From Court Reporter to Clinician Again

Before AI tools, I spent half my mental energy just documenting.

Walk into a room, listen to a patient rattle off a dozen symptoms, and try to remember to chart everything while diagnosing and building a treatment plan. It was like being a court reporter with a stethoscope.

And that leads to brain fatigue, which results in poorer treatment and burnout. It’s a vicious cycle.

Now, I hit one button to record the conversation with DAX Copilot, and it handles the documentation without any human error. And when I need quick, evidence-based answers, I pull out OpenEvidence.

Suddenly, I’m back to doing what I actually trained for: thinking clinically, not clerically.

What Is OpenEvidence AI?

Think of it as ChatGPT for medicine, only much smarter, much safer, and trained on real, peer-reviewed studies.

Type in a question—“Do chronic sinus infections correlate with allergy?”—and in under 20 seconds, it gives you:

• A precise summary
• 2-3 referenced studies
• Clickable links to PubMed or journal sources

No more long hours Googling, or worse, guessing. Just immediate answers you can act on.

If you’ve used PubMed, you’ll never go back.

Here’s How I Use It in My Day-to-Day Practice

Let’s say a 5-year-old walks in with unexplained bruising. Platelets are normal. I need to rule out serious stuff and fast.

I typed: “Bruising in 5-year-old, normal platelets – differential diagnosis”

OpenEvidence pulled up a list within 20 seconds, prioritized for urgency. And it told me which diagnoses not to miss.

Doctors don’t have to spend countless hours after clinic going down rabbit holes trying to assess hundreds of research articles to treat their patients. They can do it in seconds.

And this isn’t just theoretical. 

Researchers like Kohandel Gargari et al. have demonstrated that AI tools—using algorithms like SVM and AdaBoost—can analyze complex patient data (like family history, diet, and lung function) to spot risk factors and improve diagnostic accuracy. These are the same kinds of insights I can now access instantly with OpenEvidence, without running my own study or combing through thousands of EHR records.

Build Trust With Patients In Real Time

We’ve all had patients who raise an eyebrow when you mention a treatment.

Now, instead of saying, “In my experience…” you can say, “Here’s the evidence.” And show them the study. OpenEvidence allows you to create printed handouts for patients so they can verify the studies themselves.

This unprecedented transparency will lead to less patient skepticism because you’re not just making a call, you’re proving it.

Sometimes I even pull up the article on my screen during the appointment. It’s HIPAA-compliant. It’s secure. 

And patients love it.

Saves Time, Reduces Errors, and Keeps You Sharp

Here’s what that change looks like in hard numbers:

• Saves me about 1 hour per day
• Cuts documentation time in half
• Reduces missed diagnoses or “educated guesses”
• Makes me look smarter in front of patients (always a bonus)

And yes, I’ve asked OpenEvidence things it didn’t confirm. Like whether asthma treatments affect headaches, it told me, “No correlation,” then explained why. Even that is useful. 

You will learn so much more about your field because it allows you to see the bigger picture.

It’s Smart & Ethical

If you’re fielding other AI tools, here’s what makes OpenEvidence different from the rest:

• Trained on verified medical literature
• Offers transparent references (clickable links to real journals)
• HIPAA-compliant
• Doesn’t pretend to know when it doesn’t

And here’s what you won’t get:

• Hallucinated answers
• Medical jargon with no citations
• A false sense of certainty

It’s like a lightning-fast research assistant who doesn’t lie, doesn’t guess, and never calls in sick.

For the Skeptic: Just Try It

If you’re hesitant, you’re not alone. Only about 30% of doctors at my hospital use it.

New tech always feels risky. But here’s the reality: after over 1,000 searches, I’ve only had one error, and that was because a biologics study, which contained new info, had just been released and wasn’t catalogued by OpenEvidence.

You can’t get a lower error rate with a human. Plus, it’s available on your phone and your computer.

If you’re in private practice, it’s worth every cent. If you’re in a hospital, ask your admin why it’s not already available.

AI Will Be Standard in Allergy Practice

I’m convinced tools like OpenEvidence will be fully integrated into our EMRs in the next few years.

It will decrease medical errors and doctor burnout, while allowing more patients to be seen by doctors, especially in the ER, where rapid decisions need to be made off of little to no data. That means more people getting healed, and more money for doctors and hospitals.

A win-win for everyone.

A recent review in the European Respiratory Journal confirms that AI is already being used to screen, diagnose, and classify asthma patients. It’s not just helping in the clinic, it’s changing how we do research, improving patient stratification, and even identifying which treatments might work best for different individuals. 

This is the future, and it’s already here.

Will it replace doctors? No. But it will make us a lot harder to replace.