AI is rapidly reshaping pharmacy practice, raising both concern and opportunity for healthcare teams. Vizient host Kerry Schwarz is joined by Dr. Jason Chou, Vice President of the System Pharmacy Service Line, and Dr. Catherine Oliver, System AVP of Clinical Pharmacy Services at Ochsner Health, to explore how AI is improving efficiency while redefining how pharmacy teams spend their time. They discuss where technology is already making an impact and where its limits still require human expertise.
Dr. Jason Chou, Pharm.D., MS
Vice President, System Pharmacy Service Line
Dr. Catherine Oliver, Pharm.D., BCPS, DPLA, CPGx
System AVP, Clinical Pharmacy Services
Host
Dr. Kerry Schwarz, Pharm.D., MPH
Senior Clinical Manager, Evidence-Based Medicine and Outcomes
Vizient Center for Pharmacy Practice Excellence
Announcer welcomes listeners to VerifiedRx, produced by the Vizient Center for Pharmacy Practice Excellence.Host Kerry introduces the topic: the role of artificial intelligence (AI) in healthcare and pharmacy.Key themes:Addressing fears of job replacementIdentifying real-world use casesUnderstanding limitations of AIPractical strategies for adoptionGuests:Dr. Jason Chou, VP, System Pharmacy Service Line, Ochsner HealthDr. Catherine Oliver, System AVP, Clinical Pharmacy Services, Ochsner Health 01:04 — Will AI Replace Healthcare Jobs?
Concern exists, but largely driven by misunderstandingAI is expected to:Augment, not replace, pharmacy rolesImprove efficiency in daily workflowsAI is not capable of:Independent clinical judgmentMeaningful patient interactionsHuman elements—trust, empathy, and nuance—remain essential. 02:20 — Where AI Can Add Value Today
Focus should shift from fear to practical use casesIdeal applications:Reducing non-value-added tasksImproving efficiencySupporting clinical decision-making preparation (not replacing it) 02:39 — Early Use Cases: Operational Efficiency
AI can reduce administrative burden such as:Prior authorizationsInsurance-related communicationsData gathering and documentationOpportunity to eliminate “busy work” and improve staff satisfaction 03:31 — Clinical Workflow Support
AI can:Summarize patient charts, labs, and notesOrganize large volumes of clinical dataEnables pharmacists to:Spend less time preparingSpend more time in patient care and provider interaction 04:08 — Additional Opportunities: Supply Chain & Operations
AI can support:Inventory managementPurchasing optimizationMulti-site coordinationBenefits include:Cost savingsImproved efficiencyBetter resource utilization05:00 — Where to Draw the Line
AI should not replace clinical decision-makingLimitations include:Lack of experience and judgmentInability to incorporate patient values and preferencesFinal decisions must remain with clinicians. 05:42 — Preserving the Human Element
Patient care involves:TrustEmpathyRelationship-buildingOver-reliance on AI risks eroding patient confidence. 06:11 — Patient Interaction & Transparency
Patients want to know:When AI is usedHow it impacts their careTransparency and communication are critical 06:48 — AI in Direct Patient Care: Ambient Listening
AI tools can:Capture conversations during patient visitsReduce documentation burdenImportant considerations:Patient consentAbility to opt outPrivacy concerns 07:31 — Risks of Poor Implementation
Poorly designed AI interactions can:Frustrate patientsReduce trustHealthcare AI must avoid:Impersonal experiencesInefficient automation08:21 — AI as a Tool, Not a Replacement
Comparable to tools like:Search engines (e.g., Google)Enhances efficiency without replacing professional roles. 09:12 — Early Success Stories
Prior Authorization Optimization
AI improves:Data extractionDocumentation speedApproval timelinesBenefits:Faster patient access to therapyImproved staff satisfaction 10:07 — Clinical Decision Support Enhancements
AI-driven rule systems:Identify high-risk patientsReduce unnecessary chart reviewsExample outcome:Reduction in time spent reviewing charts without interventionFrees pharmacists for:Medication reconciliationPatient counseling 11:11 — Impact on Workforce Engagement
Staff report:Increased satisfactionMore time for meaningful workAI seen as an enabler rather than a threat12:03 — Vendor Landscape & Challenges
Rapid growth of AI vendors addressing niche problemsKey risks:Data security concernsVendor quality variabilityOverlapping or redundant solutions 12:51 — Integration & Workflow Considerations
Successful AI tools must:Integrate with EHRsAlign with pharmacy workflowsAvoid siloed systemsPoor integration leads to inefficiency and adoption barriers 14:04 — Vendor Evaluation Considerations
Assess:Clinical and operational expertiseProduct maturityImplementation effortRisk vs benefitBalance between:Ready-made solutionsCustom-built tools requiring internal resources 14:56 — Practical Advice for Health System Leaders
Develop a system-wide AI strategyCollaborate across departments (not siloed decisions)Engage:ITLegalEthics teamsAvoid duplicative solutions across service lines 15:31 — Building Organizational Readiness
Be open to learning and experimentationAsk questions and maintain healthy skepticismFocus on:Improving workflowsEnhancing patient outcomesSupporting workforce engagement 16:02 — Infrastructure & Speed of Innovation
AI vendors move quicklyOrganizations must:Be prepared to adapt rapidlyAvoid delays that hinder innovationBalance speed with governance and safetyKerry thanks the guests for their insightsEncourages continued exploration of AI’s evolving role in healthcareReminder to subscribe and engage with VerifiedRx.