Published on: 28th June 2017
11 - 15 December 2017
About the Course
Data modelling is an integral part of efficient computation because it transforms physical entities (e.g. a Blood Pressure) into computable entities. The modern healthcare environment poses many challenges and opportunities for data modelling from representing simple, spreadsheet-like data like those of the NHS – Quality Outcomes Framework (QOF) to more complex situations like those of Clinical Trials.
In this course, students begin their journey from the world of relational databases and SQL and augment their knowledge with additional ways of representing relationships, such as inheritance and complex associations. These concepts are then made concrete through practical work with data models that include (but are not limited to) object-relational, document oriented, XML and Graph based data models. This knowledge is complemented by practical work in contemporary data models used in healthcare such as CDISC-ODM, Health Level 7 (HL7) and openEHR and their relationship with the NHS Data Model and Dictionary.
The course focuses on demonstrating the key principles of data modelling and the broad structural patterns that govern the majority of database management systems in use today. In this way, the expository examples provided are easily transferable to emerging technologies.
Who should attend
The course is designed for researchers and other health professionals who have had some experience with relational databases and SQL before but would be interested in getting up to speed quickly with the current state of the art in database management systems that are used in healthcare.