This course will introduce MIMIC-III, which is the largest publicly Electronic Health Record (EHR) database available to benchmark machine learning algorithms. In particular, you will learn about the design of this relational database, what tools are available to query, extract and visualise descriptive analytics. [...]
Overview of the main principles of Deep Learning along with common architectures. Formulate the problem for time-series classification and apply it to vital signals such as ECG. Applying this methods in Electronic Health Records is challenging due to the missing values and the heterogeneity in EHR, which include both [...]
This course is a capstone assignment requiring you to apply the knowledge and skill you have learnt throughout the specialization. In this course you will choose one of the areas and complete the assignment to pass.
Now that you've been introduced to the world of Health IT and the important role played by electronic health records (EHRs), we'll focus on other technologies that play a role in maintaining ongoing operations in healthcare. Telemedicine, patient portals, barcode scanners, printers, and medical devices are just some of [...]
In this course you will receive an overview of the health IT ecosystem and the types of technologies IT support staff interact with the most. You will be introduced to the role of electronic health records (EHRs), clinical decision support, telemedicine, patient portals, and medical devices. We’ll cover common [...]
This course introduces the field of digital health and the key concepts and definitions in this emerging field. The key topics include Learning Health Systems and Electronic Health Records and various types of digital health technologies to include mobile applications, wearable technologies, health information systems, telehealth, telemedicine, machine learning, [...]