Laboratory of Clinical Pharmacology Copenhagen

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Clinical pharmacology seminar programme

The rational prescribing of drugs is an essential skill of medical doctors. Clinical pharmacologists play an important role in the development of these skills by teaching clinical pharmacology and therapeutics to undergraduate medical students. Although the approaches to teaching Clinical pharmacology and therapeutics have undergone many changes over the last decennia, it is essential that the actual teaching of Clinical pharmacology and therapeutics continues to be a major part of the undergraduate medical curriculum.

Some of the topics in the teaching area

Scientific basis of therapeutic decision making / considering alternatives, incorporating diagnostic and prognostic tests to maximize benefit and minimize harm

Principles of clinical pharmacodynamics and pharmacokinetics

Principles of therapeutic drug monitoring

Principles of prevention and management of allergic and other adverse drug reactions

Principles and management of potential drug-drug interactions.

Principles and prevention of drug interactions with food or dietary supplements.

Pharmacogenetic causes of variable response to drugs.

Biological sex and gender as causes of variable response to drugs.

Special problems of prescribing to elderly patients.

Special problems of prescribing to pediatric patients.

Special problems of prescribing to pregnant or nursing women.

Special problems of prescribing to patients with underlying diseases such as renal or hepatic disease and other co-morbidities.

Rules and regulations affecting drug prescriptions.

The process of new drug and diagnostic test development and approval.

Principles of error prevention in prescribing.

Principles of integrating prescribing with the full healthcare team (pharmacists, nurses, patients and their families).

Principles of utilizing modern informatics and databases in safe and effective prescribing.

Principles of interpretation of different sources of therapeutic information including meta-analyses and observational data.