At Hoag, medication errors fell 60% against baseline.

Medication errors feature in 39% of hospital adverse events, the largest single category of preventable harm. Hoag built scenarios around the errors their own data flagged, measured against baseline, and saw the results in action.

60%

Fewer medication errors

2+ years

Sustained for 2 years and counting

See the evidence

Publication pending

The risk

The error happens at the
decision, not the policy.

Medication-related events sit in the largest single category of preventable harm (Bates, 2023). Yet they rarely come from not knowing the policy – they come from the decision or action under load: dosing under time pressure, an interruption mid-administration, a reconciliation call at handoff.

Hoag built OMS scenarios around those exact moments, drawn from the patterns its own data flagged, and measured the result against baseline. Errors fell 60%. And those were exactly the errors that had previously led to patient harm.

Why it counts

Held to a research standard – measured against baseline.

Any endpoint is a clinical event rate your leadership already tracks. Hoag identified the error baseline then measured confidence, competence and real world medication error rate under an IRB-approved protocol.

What changes

The high-risk decisions,
practiced where they happen.

OMS puts nurses in the moments medication errors actually occur, captures their behaviors, gives immediate feedback and changes behavior in the real world.

60%

Hoag Hospital – medication errors

OMS scenarios built around Hoag’s own medication-error patterns, lead to a 60% reduction in harm.

See the evidence →

Common questions

Answered, plainly.

At Hoag, custom OMS scenarios targeting the hospital’s own medication-error patterns were associated with a 60% reduction. The work is pending publication.

Hoag’s results demonstrate that targeted OMS medication scenarios led to a 60% drop in errors, measured against the hospital’s baseline.

Often at the decision and action under pressure, rather than from a lack of policy knowledge.

OMS is an AI-driven clinical simulation platform where clinicians practice real clinical decisions — including high-risk medication moments – and that captures competency data from every interaction.

Medication-safety evidence

See the medication-safety evidence for a system like yours.

We’ll send the Hoag methodology and medication scenario detail, and map the high-risk decisions to your own medication-safety data.