AI Applications in Pharmacy
| Application | Description | Value |
|---|---|---|
| AI prior authorization | Automated PA decisions based on clinical criteria | Reduces PA processing time from days to minutes |
| AI adherence management | Identifies non-adherent members; triggers proactive outreach | Improves adherence by 10–15% |
| AI formulary management | Optimizes formulary design for clinical and financial outcomes | Reduces formulary costs by 5–10% |
| AI fraud detection | Identifies suspicious claims patterns | Reduces fraud and waste |
| AI drug interaction detection | Identifies drug interactions in real time | Improves patient safety |
AI Prior Authorization
AI-powered prior authorization uses natural language processing to review clinical notes and apply clinical criteria — reducing PA processing time from days to minutes. AI PA systems can process 80–90% of PA requests automatically, with only complex cases requiring human review. AI PA reduces administrative burden for physicians and improves member access to needed medications.
AI Ethics and Bias
IQ Insight
AI in pharmacy benefits raises important ethical and bias concerns. AI models trained on historical data can perpetuate biases — for example, if historical PA approval rates are lower for certain demographic groups, AI models trained on that data will perpetuate those disparities. Require AI vendors to conduct bias testing and disclose results. Transparency in AI decision-making is essential for member trust.