Maximizing Healthcare Efficiency With Clinical-Grade AI

Long before generative AI and large language models were trending, DrFirst developed machine learning and AI for practical, high-volume healthcare applications—not pie-in-the-sky promises. 

5 Keys to Clinical-Grade AI

We define “AI” as “augmented intelligence” because our solutions support clinicians’ decision-making rather than replace it. Our clinical-grade AI is trained on high-quality healthcare data, is validated by a team of clinical pharmacists, and complies with strict requirements for data security. Here are the five ways it differs from all-purpose, generative AI. 

Safe and Reliable
Not providing an answer is safer than a wrong answer and more accurate than human data entry alone. 

Clinically Validated
Weekly monitoring by our licensed, interprofessional clinical team maintains accuracy and throughput. 

Transparent and Explainable
We created and trained our AI with real-world clinical data from industry-standard (NCPDP) data streams. 

This is the mission of our AI: We enable seamless communication between disparate sources. 

Secure and Private Data
As a medication management company, we work almost exclusively with PHI. We draw from deep expertise to keep data secure.

AI With a Specific Purpose—and Solid Results

Since 2015, DrFirst’s AI has steadily improved the usability of medication data by translating free text and safely inferring missing prescription instruction (sig) data, streamlining medication workflows in a way that frees clinicians from time-consuming routine tasks.

Strong Guardrails Protect Patients

Most generative AI engines aren’t smart enough to know what they don’t know. They give an answer for every query, even if it’s flat-out wrong.
That’s not acceptable in healthcare, where patient safety is paramount. 

The guiding principle for our clinical-grade AI is that it’s better to provide no answer than to deliver a wrong answer. It infers missing data only when it’s safe to do so. If there’s any doubt about clinical meaning, the AI flags it for a clinician to make the call.  

Ready to radically improve your EHR workflows?

“We would have saved time and prevented frustration for our clinicians if we had run medication data from our legacy system through SmartProcessor before our Epic go-live. Now, we’re repeating work because a large volume of PAMI data came in as free text rather than being populated in discrete fields, despite our sig-mapping efforts.”  

Rose Edmondson, MSN, RN

Epic Ambulatory Manager | Baptist Health


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