BP703TSemester 72 creditsTheoryKEY SUBJECT
AI in Clinical Applications
Complete unit-wise syllabus for BP703T as per the PCI B.Pharm NEP 2020 curriculum (Semester 7 — Pharmacovigilance + Regulatory + Research).
URL:
https://pharmacode.vercel.app/syllabus/semester-7/bp703t-ai-in-clinical-applications/Unit-wise Syllabus
5 Units1
AI-Driven Clinical Decision Support Systems6 Hours- Clinical decision support systems (CDSS): definition, types (diagnostic, therapeutic, monitoring); rule-based vs. ML-based CDSS; implementation challenges
- AI in drug dosing: pharmacokinetic modelling with ML; Bayesian adaptive dosing; AI-assisted TDM; examples — vancomycin, aminoglycoside dosing
- AI system lifecycle: data collection, preprocessing, modelling, validation, deployment, and monitoring; regulatory considerations for clinical AI
2
EHR Analytics and Regulatory AI6 Hours- Electronic health records (EHR) analytics: patient data mining, readmission prediction, sepsis early warning systems, disease progression modelling
- Natural language processing (NLP) in clinical settings: information extraction from clinical notes, ICD coding, clinical named entity recognition
- Overview of AI in regulatory submissions; explainable AI (XAI): concept, LIME, SHAP; transparency and interpretability requirements for clinical AI tools
3
AI in Medical Imaging and Diagnostics6 Hours- Medical imaging AI: deep learning (CNN-based) for radiology — chest X-ray analysis, CT scan interpretation (pneumonia, COVID-19, cancer detection); pathology slides (digital pathology)
- AI in ophthalmology (diabetic retinopathy screening — Google DeepMind); dermatology (skin cancer detection); cardiology (ECG interpretation, echocardiography)
- AI in pharmacy automation and supply chain: automated dispensing systems; inventory prediction models; medication error detection systems
4
Predictive Analytics and Public Health6 Hours- Predictive analytics: ADR risk scoring, hospital-acquired infection prediction, antimicrobial resistance prediction, patient risk stratification
- AI in public health and real-world data analytics: EHR, claims data, surveillance systems; pharmacoepidemiology with ML; post-market drug surveillance
- AI in drug repurposing: network pharmacology, knowledge graph approaches; COVID-19 drug repurposing case study using AI
5
Ethics, Regulation and Future Perspectives6 Hours- Ethics of clinical AI: algorithmic bias (racial, gender disparities in AI models); fairness metrics; explainability requirements; patient autonomy and AI recommendations
- Regulatory frameworks for AI medical devices: FDA guidance on AI/ML-based SaMD; predetermined change control plan; EMA reflection paper; CDSCO guidance
- Future of AI in clinical pharmacy practice: AI-assisted clinical pharmacist decision support; opportunities and challenges; required competencies for pharmacists
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Other subjects in Semester 7
BP701TBiostatistics Research MethodologyBP702TCosmetics and CosmeceuticalsBP704TModern Analytical TechniquesBP705TPharmacovigilanceBP706TPharmacy PracticeBP707TRegulatory AffairsBP708T AECAEC Elective (cGMP / Pharmaceutical Automation / Cellular Biology / Medical Devices / Food Waste Products / Biosimilars)BP709PModern Analytical Techniques (Practical)BP710RPResearch Project (Major)