The ASHP Pharmacy Informatics & Technology Summit 2027 focuses on the intersection of clinical pharmacy and digital health — covering AI-assisted clinical decision support, EHR integration, automated dispensing, CPOE safety, Bayesian model-informed precision dosing platforms, and the evolving regulatory landscape for pharmacy informatics software as a medical device.
Pharmacy informatics sits at the convergence of clinical pharmacy expertise and health information technology. This three-day ASHP summit addresses the most pressing technical and clinical challenges in medication management systems — from optimising EHR clinical decision support to implementing Bayesian TDM software classified under the new FDA AI/ML SaMD framework.
Sessions span four tracks: AI & Machine Learning in Pharmacy, EHR Optimisation & CDS Governance, Medication Safety Technology (smart pumps, BCMA, ADCs), and Precision Dosing & MIPD. Pre-conference workshops offer hands-on training in Simcyp PBPK modelling and DoseMeRx vancomycin dosing.
BPS BCPI recertification credit hours (CPE) are provided for all sessions. Networking events connect pharmacy informaticists, EHR vendors, and clinical pharmacists implementing technology-driven safety programmes.
Deep dive into FDA's 2026 guidance classifying Bayesian dosing software as Class II devices. Regulatory compliance requirements, PCCP for model updates, and implementation at health system scale for vancomycin and aminoglycoside precision dosing. See our news coverage.
Evidence-based strategies for tiering drug-drug interaction and allergy alerts — hard stops, soft stops, and best practice advisories. Monitoring override rates and closing the governance feedback loop. Related: drug interactions guide, medication errors guide.
Clinical evaluation of LLM-based drug information tools integrated with EHR context. Patient safety guardrails, hallucination risk in pharmacotherapy queries, and emerging ASHP position statements on LLM use in clinical practice.
Drug library management — dose error reduction software (DERS) limits, library compliance rate targets, hard vs soft limit design, and ISMP recommendations for high-alert medications (insulin, heparin, KCl, opioids). See our high-alert medication guide.
How to leverage PBPK models to waive clinical DDI studies per the revised EMA PBPK guideline and FDA PBPK guidance. Model qualification requirements and uncertainty reporting. See our PBPK model glossary.
Building pharmacy analytics programmes on EHR data warehouses — identifying high-risk medication use patterns, TDM compliance monitoring, antimicrobial stewardship metrics (DDD, DOT), and real-world evidence generation from institutional data. Related: ASP metrics guide.