Infrastructure for Antimicrobial Stewardship Decision Support

Antimicrobial stewardship decision support requires machine-readable clinical logic: IF (culture result available AND empiric antibiotic covers cultured organism AND organism susceptible to narrower-spectrum agent) THEN recommend de-escalation. IDSA guidelines and facility antibiograms must be formalized as queryable rules, not PDF protocols. Duration thresholds, IV-to-PO conversion criteria, and C. difficile risk combinations must all be explicitly codified for the AI to generate real-time, actionable stewardship recommendations without pharmacist re-interpretation of every alert.

Stewardship decision support requires automated capture of antibiotic order events, culture result finalization, susceptibility report release, dose administration confirmations, and renal function lab results as they occur in real-time workflows. Waiting for periodic data pulls means the system generates de-escalation recommendations hours after culture results are available—missing the optimal intervention window. CPOE and microbiology system events must stream to the stewardship engine automatically.

The stewardship AI needs formal ontology: Antibiotic entities with spectrum classifications, Organism entities with susceptibility relationships, Patient entities with renal function and allergy attributes, and rule mappings (Organism.susceptibleTo.Antibiotic → de-escalation recommendation WITH conditions: Patient.RenalFunction, Patient.Allergy). Local antibiogram data must be structured as a formal resistance-probability matrix by unit and organism. Without this ontology, the system can't compute de-escalation appropriateness across the antibiotic-organism-patient triad.

Stewardship decision support requires unified API access to CPOE (antibiotic orders), microbiology LIS (culture and sensitivity results), pharmacy (administration records and IV-to-PO eligibility), laboratory (renal function, inflammatory markers), and allergy records. These systems must be queried in aggregate to generate a complete stewardship picture per patient. A unified access layer enabling the AI to assemble patient-level antibiotic context from all sources in real-time is essential—fragmented access produces incomplete recommendations that miss contraindications.

Stewardship logic must update when local antibiogram data changes (typically annually but with significant mid-year shifts in resistance patterns), when IDSA guidelines are revised, or when formulary changes add or remove antibiotic options. Near-real-time sync is required because local resistance patterns—the antibiogram—must reflect the most current organism susceptibilities to generate accurate de-escalation recommendations. Stale antibiogram data produces recommendations for antibiotics with rising local resistance rates.

Antimicrobial stewardship requires API-based connections between CPOE, microbiology LIS, pharmacy dispensing, laboratory (renal function, CRP, procalcitonin), and EHR clinical documentation. These connections enable the system to correlate antibiotic orders with culture results, patient renal function, and administration history to produce stewardship alerts. The existing EHR-to-pharmacy-to-lab integration infrastructure in healthcare operations supports this, though external infection control databases and regional resistance networks aren't yet required.