This advanced course thoroughly explores real-world evidence (RWE) in pharmacoepidemiology. Participants will explore the methodologies for generating and analysing RWE and understand its applications in drug safety, effectiveness, and public health decision-making. The course integrates theoretical knowledge with practical applications, preparing participants to use RWE effectively in various contexts. 

Upon completion of this course, participants will be able to: 

  • Understand the principles and importance of real-world evidence in pharmacoepidemiology. 
  • Develop skills in designing and conducting real-world studies. 
  • Learn advanced methods for analysing real-world data. 
  • Interpret and communicate real-world evidence to inform healthcare decisions. 
  • Explore the latest advancements and applications of RWE in drug safety and public health. 

This course is intended for:

  • Pharmacoepidemiologists 
  • Public health professionals 
  • Medical researchers 
  • Healthcare practitioners involved in drug safety and effectiveness 
  • Data analysts in health sciences 
  • Graduate students in public health, epidemiology, and related fields 

The course employs a blend of instructional methods, including: 

  • Interactive lectures 
  • Hands-on data analysis sessions 
  • Group discussions and case studies 
  • Expert-led Q&A sessions 
  • Comprehensive course materials and resources 

Day 5 of each course is reserved for a Q&A session, which may occur off-site. For 10-day courses, this also applies to day 10

ID التواريخ المتاحة المدينة الرسوم الإجراءات

Section 1: Introduction to Real-World Evidence 

  • Definition and significance of real-world evidence 
  • Key differences between clinical trial data and real-world data 
  • Sources of real-world data: electronic health records, registries, and claims data 

 

Section 2: Study Design and Data Collection 

  • Designing real-world studies: cohort, case-control, and cross-sectional studies 
  • Data collection methods and tools 
  • Ensuring data quality and integrity 

 

Section 3: Advanced Data Analysis Techniques 

  • Statistical methods for analysing real-world data 
  • Propensity score matching and instrumental variable analysis 
  • Handling biases and confounding factors in real-world studies 

 

Section 4: Applications of Real-World Evidence 

  • Evaluating drug safety and effectiveness 
  • Informing regulatory decisions and health policy 
  • Case studies: Applications of RWE in various therapeutic areas 

 

Section 5: Practical Applications and Case Studies 

  • Hands-on data analysis with real-world datasets 
  • Developing and presenting real-world evidence projects 
  • Collaborative problem-solving and case studies 
  • Course review, expert Q&A, and certification ceremony 

عند إتمام هذه الدورة التدريبية بنجاح، سيحصل المشاركون على شهادة إتمام التدريب من Holistique Training. وبالنسبة للذين يحضرون ويكملون الدورة التدريبية عبر الإنترنت، سيتم تزويدهم بشهادة إلكترونية (e-Certificate) من Holistique Training.  

شهادات Holistique Training معتمدة من المجلس البريطاني للتقييم (BAC) وخدمة اعتماد التطوير المهني المستمر (CPD)، كما أنها معتمدة وفق معايير ISO 9001 وISO 21001 وISO 29993.  

يتم منح نقاط التطوير المهني المستمر (CPD) لهذه الدورة من خلال شهاداتنا، وستظهر هذه النقاط على شهادة إتمام التدريب من Holistique Training. ووفقًا لمعايير خدمة اعتماد CPD، يتم منح نقطة CPD واحدة عن كل ساعة حضور في الدورة. ويمكن المطالبة بحد أقصى قدره 50 نقطة CPD لأي دورة واحدة نقدمها حاليًا.  

  • كود الكورس IND5 - 155
  • نمط الكورس
  • المدة 5 أيام

الدورات المميزة