Improve Medication Safety
AI chart review tool built for quality and safety leaders to find medication errors faster and at scale.
What Distillemr can identify
Risks that are difficult to detect through traditional reporting tools, pharmacy alerts, or manual chart review.
Weight-based dosing errors
Detect confusion between:
- mg/kg per dose vs. mg/kg per day
- Total daily doses vs. divided doses
- Pediatric dosing vs. adult maximums
- Historical doses no longer appropriate after a child grows
Underdosing & overdosing
Identify patients receiving substantially more or less medication than intended—including cases where an apparently failed treatment actually reflects an inadequate dose.
Concentration & formulation mismatches
Review whether the concentration or formulation matches the intended dose and patient context:
- Different liquid concentrations
- Incorrect active-ingredient ratios
- Immediate- vs. extended-release products
- Pediatric vs. adult formulations
- Tablet vs. liquid selection
Findings by error type
Every finding is tagged, so patterns surface across your population — not one chart at a time.
Why this matters
Fewer errors reaching patients, and clinical staff spending their time where it counts.
Fewer adverse drug events
Surface the dosing, formulation, and concentration errors traditional review misses—so teams can act on them and reduce avoidable harm.
Fewer readmissions
Reduce the medication-related readmissions driven by dosing errors and reconciliation gaps.
Higher-value pharmacist time
Distillemr does the chart digging and points pharmacists straight to the cases that need them—so their time goes to interventions, stewardship, and patient care instead of manual review.
Lower liability exposure
Surface high-risk errors early—before they become safety escalations, sentinel events, or malpractice claims.
Fewer EHR-driven errors
Fix the order sets, default doses, and formulary substitutions producing recurring mistakes—reducing downstream rework.
Stronger quality performance
Improve the medication safety metrics tied to accreditation, value-based programs, and reimbursement.
Frequently Asked Questions
Because Distillemr reads the full clinical context, it can answer questions traditional reports can't—for example:
- How often are pediatric antibiotics written mg/kg per dose when the guideline intends mg/kg per day?
- Which medications are most often underdosed or overdosed?
- Are clinicians choosing the wrong liquid concentration or formulation?
- Are extended-release drugs being prescribed at immediate-release frequencies?
- Which weight-based medications weren't adjusted as children grew?
- Are treatment failures actually cases of inadequate dosing?
- Which EHR defaults or order configurations drive recurring errors?
- Did an order set or education campaign actually reduce the error rate?
The same encounter information available to a human reviewer—patient characteristics, medication details, diagnoses, documentation, and treatment plan—evaluated against the safety criteria your organization defines.
Most teams pick one focused, high-risk area, establish a baseline, review the findings together, and expand from there. Start from whichever angle fits your risk:
- A drug or drug class: amoxicillin-clavulanate formulation selection, extended-release formulation errors, or nephrotoxic combinations.
- A patient population: pediatric antibiotic dosing, weight-based medications, or renal dosing.
- A care setting or transition: medication reconciliation, high-risk discharge medications, or emergency department prescriptions.
- An existing safety signal: medications tied to recent safety reports or readmissions.
Yes. Distillemr can estimate the prevalence of specific risks, surface unrecognized prescribing patterns, review populations far larger than manual review allows, and evaluate interventions such as order sets or education campaigns.
Explore a Medication Safety Pilot
Start with one high-risk area and see what your current tools are missing.
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