Predict adherence risk — before you even prescribe
H2H predicts the probability that a patient will adhere to a medication before you prescribe it. When that probability is low, our proprietary AI/ML algorithm tells you why — a pharmacy desert, a complex regimen, or another contributing factor — so you can act first.
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A clearer signal than a fill-rate report
Instead of reacting to a missed refill after the fact, the model reads the pattern building up to it.
Adherence probability, before you prescribe
A proprietary AI/ML score estimates how likely a patient is to adhere to a specific medication — calculated before the prescription is sent, not after a fill is missed.
The reason behind a low score
When probability is low, H2H surfaces the likely driver — a pharmacy desert, a complex prescription regimen, cost, or another contributing factor.
A chance to act first
Choose a different pharmacy, simplify the regimen, or address the barrier before the script ever leaves your hands.
See the barrier, not just the risk
Our proprietary AI/ML algorithm weighs pharmacy access, regimen complexity, medication class, and other real-world factors to explain a low adherence probability — not just flag one.
That means you can address the actual barrier \u2014 switch pharmacies, simplify dosing, or add support \u2014 before the patient ever leaves with a script they won\u2019t fill.
From flag to follow-up, in the same workflow
Prediction runs at the point of prescribing
The probability and its likely reason appear right in the prescribing workflow, before you send.
You see the barrier in plain language
Pharmacy desert, complex regimen, cost, or another factor — named, not just scored.
Adjust and prescribe with confidence
Choose a different pharmacy, simplify the regimen, or route to support — all before the script is sent.
In early pilot practices, prescribers using adherence predictions reported catching likely non-adherence before writing the prescription \u2014 rather than after a fill was already missed.
*Illustrative pilot feedback \u2014 formal outcomes data to follow.
Bring AI Adherence into your workflow
Included in EPCS + PDMP DRx, or available as an add-on for enterprise plans.
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