💊 AI-Augmented Pharmacist Error Detection Rate Simulator

Pharmacist Alone — The Baseline Error Detection Rate

Solo pharmacist review catches most, but not all, prescription errors.

• ~72%: Baseline detection rate (errors caught unaided)
• 90 sec: Avg review time (per prescription)
• ~50: Errors per 1,000 Rx (industry estimate)
• −15%: Fatigue effect (accuracy after hour 6)

Why solo review misses errors

High volume, interruptions, and fatigue erode attention.

Common missed error types

Dose miscalculations and drug interactions slip through most.

The cost of a miss

Undetected errors can cause harm, readmission, or death.

AI Co-Review Begins — A Second Set of Digital Eyes

The AI scans every prescription in parallel with the pharmacist.

• <1 sec: Scan time per Rx (automated pass)
• 12+: Fields checked (dose, interaction, allergy, duplication)
• 100%: Coverage (every prescription scanned)
• 0%: Human workload change (AI runs alongside, not instead)

How the AI reads a script

Structured fields and free text both get parsed.

What triggers a scan

Every new prescription queues instantly for AI review.

Not a replacement

AI assists judgment, it never makes the final call.

AI Flags Candidate Errors — Suspicious Scripts Highlighted

Flagged prescriptions get a dashed gold outline for attention.

• tunable: Flag threshold (sensitivity slider controls it)
• +2–3×: True-positive lift (vs unflagged baseline catch)
• rises: False-positive risk (with higher sensitivity)
• real: Alert fatigue risk (too many flags reduce trust)

What a flag means

Elevated risk score, not a confirmed error.

Sensitivity trade-off

Higher sensitivity catches more, but flags more falsely.

Design goal

Maximize true catches while keeping false alarms low.

Pharmacist Final Judgment — Reviewing Every AI Flag

The pharmacist inspects each flag and decides, override or confirm.

• ~20 sec: Flag review time (per flagged script)
• ~78%: Flag agreement rate (pharmacist confirms AI flag)
• ~22%: Override rate (pharmacist dismisses false flag)
• human: Final authority (AI never auto-rejects a script)

Human stays in the loop

Pharmacist always makes the dispensing decision.

Confirming true errors

Flagged true errors get caught far more often.

Dismissing false flags

Clinical context lets pharmacists clear safe scripts fast.

Combined Detection Rate — Baseline vs. AI-Assisted

Pairing pharmacist judgment with AI flags lifts overall catch rate.

• ~72%: Baseline detection (pharmacist alone)
• ~91%: Combined detection (pharmacist + AI)
• +19 pts: Absolute lift (errors caught)
• ~9%: Residual miss rate (still requires vigilance)

Why the combination wins

AI recall plus human context outperforms either alone.

Limits of the system

Novel or ambiguous cases still need expert judgment.

Next steps

Continuous monitoring keeps both catch and trust high.