1. Clinical Research Informatics [CRI]

2. Informatics, defined generally as the intersection of information and computer science with a health-related discipline, has a foundation drawn from many well- established, theory-based disciplines, including computer science, library and information science, cognitive science, psychology, and sociology.

4. Clinical Research Clinical research is about finding the best way for patients to receive medical care. The NIH defines clinical research in three parts: – 1) patient-oriented (research involving interaction with human subjects), – 2) epidemiologic and behavioural, and – 3) outcomes and health services research. epidemiology :science that studies the patterns, causes, and effects of health and disease conditions in defined populations

5. Clinical Research safety and effectiveness Clinical research is a branch of medical science that determines the safety and effectiveness of: – medications, – devices, – diagnostic products and – treatment regimens intended for human use.

6. Clinical Research These may be used for: – prevention, – treatment, – diagnosis or – for relieving symptoms of a disease. CRI scientists conceive of innovative solutions that span biological, clinical, and population-based research.

8. Clinical Research Informatics [CRI] application of informatics principles and techniques Clinical research informatics (CRI) is the application of informatics principles and techniques to – support the spectrum of activities and processes incorporated in clinical research.

9. Clinical Research Informatics [CRI] CRI is the sub-domain of biomedical informatics concerned with the : – development, – application, and – evaluation of theories, methods, and systemstheories, methods, and systems

10. Clinical Research Informatics [CRI] CRI Aims to OPTIMIZE [?] :  the design and conduct of clinical research and the analysis,  Its interpretation, and  dissemination of the information generated.

11. Clinical Research Informatics CRI focuses on: discovery and management – the application of informatics to the discovery and management of – new knowledge relating to health and disease.

12. Clinical Research Informatics management of information It includes management of information related to – clinical trials, and – also involves informatics related to secondary use of clinical data.

13. Clinical Research Informatics [CRI] dynamic and evolving clinical research environment It contributes to the ongoing dialogues among researchers and practitioners in CRI as they continue to rise to the challenges of a dynamic and evolving clinical research environment.

14. Clinical Research Informatics [CRI] practice standards, improved safety and efficiencies, data standards, policy issues, educational standards and instructional resources.

16. Clinical Research Informatics CRI "...focuses on developing new informatics theories, tools, and solutions to accelerate the full translational continuum: – basic research to clinical trials, – clinical trials to academic health center practice, – diffusion and implementation to community practice, and 'real world' outcomes"

17. Development

18. Clinical Research Informatics CRI is rapidly evolving and growing, in part due to increasingly complex clinical research workflow and information management challenges. The rapid pace of biomedical science and the need for advances in medicine, which create pressure for clinical research to be conducted in a timely and efficient manner and also produce high-quality results

19. Underlying reasons for this evolution and growth include:

20. Clinical Research Informatics The rapid pace of biomedical science the need for advances in medicine, pressure for clinical research to be conducted timely and efficient manner – in a timely and efficient manner and also – produce high-quality results

21. Clinical Research Informatics The use of sophisticated biomedical research techniques that generate massive and ever-growing data sets (aka Big Data) Big Data: large and/or complex data sets.

22. Clinical Research Informatics evaluate, combine, and visualize There is a need for computer programs and other tools that can evaluate, combine, and visualize these large quantities of data not only on supercomputers, but also on PCs and workstations