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] |