By completing this specialization you will know how to: 1) understand electronic health record data types and structures, 2) deploy basic informatics methodologies on clinical data, 3) provide …

Data collected at the beginning of a clinical study for all participants and for each arm or comparison group. These data include demographics, such as age, sex/gender, race and …

Dec 22, 2018 · Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized …

Learn how clinical trials bring new medical tech to market & improve healthcare. Understand research design, data analysis & reporting. Ideal for patient care & research professionals.

Currently, data science applications are at the forefront of many innovations in healthcare, particularly in pharmaceutical clinical trials. Along with the emergence of Artificial Intelligence …

The center's Clinical Data Science Program is focused on: Developing, implementing, and evaluating AI and machine-learning models for clinical applications. Implementing AI …

In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. You will also learn enough SQL and R …

Oct 6, 2022 · What is clinical trial data analytics? Clinical trial analytics uses machine learning algorithms to gain new insight into clinical trial data. These clinical trials play a critical role in …

Clinical data science, like the broader discipline of all data science, integrates tenets of statistics and informatics, but with a specific focus on clinical research.

This course is aimed to demonstate how principles and methods from data science can be applied in clinical reporting. By the end of the course, learners will understand what requirements there …