AI in Pharmacy Practice: What’s Actually Approved, What’s Still Hype
- 0:00 The Hype Gap
- 8:00 Approved, Cleared, Or Deployed
- 18:00 Where AI Already Delivers
Practical shifts you can apply this week
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Identify Proven Pharmacy AI Use Cases
Spot where evidence supports clinical, operational, or safety value, and where the demo ends before reality starts.
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Compare Regulated And Unregulated Tools
Sort approved, cleared, exempt, and merely deployed tools without getting lost in procurement wording.
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Evaluate Vendor Claims Rigorously
Pressure-test claims against workflow fit, validation quality, and governance needs before you commit.
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Diagnose Current AI Failure Points
See where medication management, patient communication, and documentation still break in messy real workflows.
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Design A Practical Next-Step Pilot
Leave with a pilot approach that includes guardrails, metrics, and human oversight from day one.
What we'll cover
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0:00
The Hype Gap
Why pharmacy is a prime AI target, and how to tell narrow value from broad claims wearing nicer shoes.
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8:00
Approved, Cleared, Or Deployed
A plain-English pass through FDA boundaries, SaMD examples, and why tool labels get slippery fast.
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18:00
Where AI Already Delivers
Credible use cases in verification support, forecasting, documentation help, and signal detection under review.
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29:00
Medication Safety Failure Modes
Hallucinated drug facts, drift, bias, weak provenance, and workflow mismatch that turn demos into risk.
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39:00
Evidence That Actually Counts
What matters beyond retrospective accuracy, including local validation, shadow testing, and outcome measures.
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47:00
Governance Before You Buy
Who owns selection, monitoring, privacy review, exception handling, and retirement when AI enters practice.
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54:00
A Sensible 90-Day Pilot
Choose one narrow workflow, define stop rules, set metrics, and close with next steps and live Q&A.
Questions people ask before registering
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It is built for working professionals in pharmacy and adjacent roles, including operations, informatics, safety, compliance, and clinical leadership. If AI keeps showing up in meetings, this will be useful.
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No. The session is designed for practical decision-making, not model building. We focus on workflows, evidence, regulation, and safety in plain language.
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If a replay is being offered by the host, registrants typically receive access after the session. Check your registration confirmation for the final replay details.
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Yes, but the goal is not to crown a winner. We use concrete examples to show how to assess claims, fit, validation, and risk in your own setting.
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No. Examples span health-system, specialty, and community pharmacy workflows. The framework is meant to travel across settings, with local validation doing the heavy lifting.
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Yes. You will leave with a simple way to separate evidence from theater and outline one low-risk pilot with guardrails, metrics, and human oversight.