Trainings for MSLs, Medical Advisors and other experts of medical departments of pharmaceutical companies on how to work with medical information
Educational programs for your speakers
380+
MSLs, Medical Advisors and other experts of medical departments of pharmaceutical companies
35+
Directions of the learning program
80+
speakers from differents therapeutic areas
Our Educationals Programs for MSLs, Medical Advisors and other experts of medical departments and speakers
Development of professional knowledge and skills of Medical Affairs Team Members and speakers aiming at increasing efficacy in building scientific dialogue and exchange with medical experts and at efficacy of delivering of medical information to customers.
How to Read Articles and Interpret Scientific and Medical Information. Basic Statistics
What a medical adviser needs to know from statistics in order to be fluent in scientific and medical information.
Basic concepts: risks, hazard ratio and odds ratio, differences. Random variables, NNT, NNH, and descriptive statistics. Interpretation of p, interpretation of confidence interval, quartiles and percentiles. Meta-analysis, interpretation principles.
Basic concepts: risks, hazard ratio and odds ratio, differences. Random variables, NNT, NNH, and descriptive statistics. Interpretation of p, interpretation of confidence interval, quartiles and percentiles. Meta-analysis, interpretation principles.
Practical work
Statistics for medical advisors.
Visual Construction of Biomedical Information on Slides
Visualization of biomedical information as text. Simplifying complex slides. Principles of slide layout. What is “beautiful” and what is “ugly.” Principles of visualizing information and creating infographics. Sources of pictures and infographics. Layout of text, tables, and diagrams. Principles of creating diagram templates.
Practical work
Text and table layout. Layout of graphs and diagrams.
Simple and Complex Graphs. Visualization of biomedical data
Principles of reading graphs and diagrams “at sight", principles of choosing the type of diagrams to visualize different information. The most common data visualization errors. Interpretation of simple and complex graphs and their elements: box-plot, forest plot, confidence intervals, histograms, ranks, waterfalls, Kaplan-Meier curves, Sankey, bubble chart, scatter chart, and Mekko chart.
Practical work
Independent work on the construction of simple and complex graphs.
Reference Management, Search for Scientific and Medical Information
Why do we need reference management? The basics of reference management. An overview of the most popular software for working with references.
Mendeley program as an example of working with references and bibliography.How to store information and how to process it. How information can get to the reference manager. How the information from the reference manager can be used in texts and presentations.
Citation styles, their selection, search, and editing.
Arrangement and cloud synchronization of personal scientific and medical libraries between different devices (desktop, laptop, tablet, or cellphone)
Mendeley program as an example of working with references and bibliography.How to store information and how to process it. How information can get to the reference manager. How the information from the reference manager can be used in texts and presentations.
Citation styles, their selection, search, and editing.
Arrangement and cloud synchronization of personal scientific and medical libraries between different devices (desktop, laptop, tablet, or cellphone)
Independent work
Critical Analysis of Scientific and Medical Information
Introduction to Good Publication Practice. Structure of articles and presentations. Why is it important? Up-to-date article structure guides.
Hierarchy of scientific and medical data, principles of the evidence system construction. Principles of clinical study design. Different samples of patient populations enrolled in the study, different approaches to data analysis, primary and secondary endpoints.
Principles of calculating study power and sample size.
Current requirements for CS articles, meta-analyses, reviews, clinical cases, and presentations from a critical data analysis perspective. What are biases, and why are they important?
Hierarchy of scientific and medical data, principles of the evidence system construction. Principles of clinical study design. Different samples of patient populations enrolled in the study, different approaches to data analysis, primary and secondary endpoints.
Principles of calculating study power and sample size.
Current requirements for CS articles, meta-analyses, reviews, clinical cases, and presentations from a critical data analysis perspective. What are biases, and why are they important?
Independent work
Critical analysis of the article by checklist.
Critical Analysis of Scientific and Medical Information
Types of scientific journals, their ratings. Where to find, how to interpret. What kind of information we can get from the ratings.
Principles of choosing a journal for publication.
Practical approaches to critical analysis of articles. Principles of review. Primary/secondary. Clinical/practical/statistical significance. Assessment of data completeness. Limitations of the study, inclusion/exclusion criteria
Critical analysis of a competitor’s article. Discussion of approaches to critical analysis. Develop a common approach to conducting a critical analysis of competitors.
Principles of choosing a journal for publication.
Practical approaches to critical analysis of articles. Principles of review. Primary/secondary. Clinical/practical/statistical significance. Assessment of data completeness. Limitations of the study, inclusion/exclusion criteria
Critical analysis of a competitor’s article. Discussion of approaches to critical analysis. Develop a common approach to conducting a critical analysis of competitors.
Independent work
Exercise “spoiled abstracts,” step-by-step article reviews
Real-World Clinical Data
Meaning of real-world clinical data.
Data sources for real-world clinical practice studies.
Observational studies, their types, advantages and disadvantages, methodology, and interpretation of the result.
Sampling and the general population.
Type I and II error.
Data sources for real-world clinical practice studies.
Observational studies, their types, advantages and disadvantages, methodology, and interpretation of the result.
Sampling and the general population.
Type I and II error.
Workshop
Calculations and interpretation of the observational study results
Principles and Approaches to Medical Writing
Principles of creating an argument structure. Mindmapping. International guidelines for writing articles and abstracts, protocols.
Principles of poster design.
Practical approaches to the preparation of review materials.
Crowdsourcing in graphic design startups.
Principles of review and self-review. Structure. Primary/secondary. Clinical/practical/statistical significance. Assessment of data completeness, fact-checking, data-checking. Limitations of the study, inclusion/exclusion criteria.
Principles of poster design.
Practical approaches to the preparation of review materials.
Crowdsourcing in graphic design startups.
Principles of review and self-review. Structure. Primary/secondary. Clinical/practical/statistical significance. Assessment of data completeness, fact-checking, data-checking. Limitations of the study, inclusion/exclusion criteria.
Workshop
The collective making of an abstract.
Scientific and Medical Storytelling
Storytelling in articles and presentations.
Interactive discussion and individual work.
Speech objectives.
What do I want to achieve with my speech?
Why does my audience need my speech?
What should happen after the speech?
Interactive discussion and individual work.
Speech objectives.
What do I want to achieve with my speech?
Why does my audience need my speech?
What should happen after the speech?
Workshop
How to adapt the material depending on:
audience;
amount of attendees;
level of expertise;
concerns and objections; and
roles, positions, status of participants.
audience;
amount of attendees;
level of expertise;
concerns and objections; and
roles, positions, status of participants.
High quality
All works are performed in accordance with generally accepted international recommendations for the creation of scientific medical content. are a leading firm in providing quality and value to our customers.
Flexibility
We have several scientific editors in our team who specialize in various therapeutic areas
Experience
Over 80% of our medical content developers have PhD degrees in medicine and biology.
Development
Our company is a finalist of the international scientific contest SPRINT Data Analysis Challenge member of our team has at least 5 years of legal experience method allows us to achieve success in problems of all levels. managers are always ready to answer your questions.
Materials
At the end of each project, our customers receive editable files to ensure easy localization of the materials
Efficiency
We care about our clients' time. Just give us a call, and we will help you with all the questions.
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If you‘d prefer to call us:
Iakov Pakhomov
MD, PhD | Medical Director
yakov@mdwrt.com | Medical Adviser's Group
+33 6 32 14 87 09 | +7 985 762 52 40
yakov@mdwrt.com | Medical Adviser's Group
+33 6 32 14 87 09 | +7 985 762 52 40