A second check on every prescription, before it reaches the patient
SmartRx checks a medication order the moment it is submitted, shows why it flagged what it flagged, and leaves the prescribing decision with the clinician.
The problem
Medication errors affect millions of patients a year and can cause real harm. Choosing the right drug means holding a great deal in mind at once: what it treats, what it interacts with, what it does to this particular patient. It is a common error precisely because it is a preventable one.
Made for the teamsthat sign off on what reaches the patient
Prescribers
A check that runs the moment an order is submitted, rather than a warning read after the fact.
Hospital medication-safety teams
A co-labelling tool for reviewing past orders, so the review is on the same record as the live check.
Health systems
One more guard rail beside the ones already in place, not a replacement for any of them.
SmartRx checks each order as it is submitted, explains the risk it found, and recommends an adjustment for the clinician to accept or refuse.
Submit the order
A clinician writes the medication order as they always would, and it goes to the system on submission.
Check it on the spot
A hybrid of clinical rules and machine learning reads the order against the patient and predicts adverse drug events immediately.
Show the risk, and why
A personalised risk assessment, with interactive visualisations that say what drove it rather than returning a bare score.
Leave the call to the prescriber
As the patient’s status changes the system recommends adjustments to the regimen. The clinician decides.
The results
The results, as the source reports them. It publishes no figures, so none are quoted here.
Risks caught earlier
Risk signals surface in time for a clinician to act on them.
Better-founded decisions
The analysis behind each flag is visible, so it can be judged rather than trusted.
Fewer avoidable admissions
Less load on the system from hospitalisations that did not need to happen.
What we can buildfor you
The same pattern, built around your clinic. Each idea comes from a service we already run.
Clinical documentation
Turns a consultation into a draft note in the clinic’s own format. The clinician reviews, corrects and signs it.
Triage and prioritisation
Models that sort incoming cases, referrals or images by urgency, so specialists see the most pressing ones first.
Patient questions
Answers about appointments, preparation and aftercare, drawn from your own guidance, and escalated to staff for anything clinical.
Claims and admin
Reads forms, referral letters and claims, fills the right fields and routes them. Staff handle what does not fit.
Your clinic’s version of thisstarts with one process
Tell us the process you would apply it to, and we will tell you plainly whether AI is the right tool.