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.
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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.
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.
Interoperable
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.
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.
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.
AI, legacy EHR data conversion, and local pharmacy connections deliver 97% of medications for patients over 65.
Clinicians are spending more time providing care and less time manually gathering, entering, and confirming medications.