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所在平台: Udemy |
课程主页: https://www.udemy.com/course/naplex-guru/
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**课程名称：** NAPLEX GURU（NAPLEX 备考专家） **课程概述：** 本课程由美国药剂师委员会联合会（NABP）最新更新的北美药剂师执照考试（NAPLEX）内容为核心，专注于培养和强化药剂学实践及NAPLEX考试所需的关键数学技能。无论您在零售药店、医院、制药行业、长期护理机构还是核药房工作，计算能力都是至关重要的。 课程内容涵盖了药剂学实践中的基础知识，特别是计算和生物统计学。通过本课程，您将能够熟练掌握各类定量问题，提高在实际药房工作中和NAPLEX考试中的准确性和效率。 **核心课程内容包括：** * **剂量计算：** 准确计算药物剂量。 * **药物浓度：** 理解和应用药物浓度相关概念。 * **单位转换：** 熟练进行各种单位间的转换。 * **生物统计学：** * 置信区间 * 统计显著性（显著与不显著） * 零假设与备择假设 * 第一类错误和第二类错误 * 相对风险、绝对风险、优势比/风险比。 * 熟悉不同研究类型，如队列研究、随机对照试验和荟萃分析。 * **药代动力学：** * 清除率 (Clearance) * 半衰期 (Half-life) * 生物利用度 (Bioavailability) * 预测药物浓度 * 负荷剂量 (Loading Dose)。 * **患者特定参数：** 整合患者信息进行计算。 * **具体计算示例：** 输注速率、剂量转换、比例强度、渗透压、等渗性、营养需求、pH 和 pKa、混合药物法 (Alligation)、肌酐清除率等。 本课程旨在全面提升学员在药剂学领域的定量分析能力，为通过NAPLEX考试奠定坚实基础。
The National Association of Boards of Pharmacy (NABP) recently updated its North American Pharmacist Licensure Examination (NAPLEX) content. Calculations and biostatistics were added to Foundation Knowledge for Pharmacy practice. Whether you work in retail, a hospital, pharmaceuticals, long-term care, or nuclear pharmacy, these topics are very important in pharmacy. A NAPLEX calculations course focuses on developing and reinforcing mathematical skills essential for pharmacy practice and success on the NAPLEX exam. It covers various concepts, including dosage calculations, drug concentrations, conversions, Biostatistics, pharmacokinetics, and patient-specific parameters. The course aims to equip students to solve quantitative problems encountered in pharmacy practice accurately and efficiently. Calculations are one of the important parameters when taking the Naplex Exam. For instance, calculations like rate of administrations, dose conversions, ratio strengths, osmolarity, osmolality, isotonicity, nutritional needs, pH and pKa, Alligation, Creatinine Clearance, pharmacokinetics, and many others are important. For pharmacokinetics, you will learn clearance, Half-life, Bioavailability, Predicting Drug Concentration, and Loading Dose. For Biostatistics, we will learn Confidence Intervals, Statistical Significance or Nonsignificance, the Null Hypothesis, the Alternative Hypothesis, Type 1 error, Type 2 error, Relative Risk, Absolute Risk, and Odds Ratio / Hazard Ratio. You will also learn different study types, such as cohort studies, randomized controlled trials, and meta-analysis.
