Summary of the benefits and challenges of ChatGPT in pharmacy practice
| Aspect | Description | References |
|---|---|---|
| Benefits | ||
| Drug safety | Examines pharmaceutical interrelations, notifies about potential hazards, reduces likelihood of harmful drug interactions | [22, 23] |
| Error reduction | Curbs diagnostic errors, assists in autonomous prescription verification | [22, 23] |
| Patient care | Enhances patient well-being, generates personalized notification messages | [22, 23] |
| Compliance | Ensures adherence to legal and regulatory obligations | [22, 23] |
| Inventory management | Improves stock control and supply optimization | [23] |
| Communication | Eliminates language barriers in healthcare literature | [24, 25] |
| Predictive analytics | Identifies individuals prone to readmission for targeted interventions | [22] |
| Surgical support | Provides instant, accurate insights to skilled surgeons | [22] |
| Healthcare efficiency | Allows professionals to focus more on patient care | [22] |
| Clinical decision-making | Enhances decision-making through AI algorithms and machine learning | [28] |
| Challenges | ||
| Security | Risk of adversarial attacks | [4] |
| Misinformation | Potential for spreading false information or propaganda | [4] |
| Identity theft | Risk of deception due to human-like text generation | [4] |
| Data quality | Dependence on accuracy and quality of training data, potential for bias | [26] |
| Privacy | Concerns about extensive use of patient data for AI training | [28] |