Biomedical Informatics uses computation to extract data from biological data
It is an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret biological data. Bioinformatics has been used for in silico analyses of biological queries using mathematical and statistical techniques.
The main mission of BMI is to provide a framework for developing, integrating and sharing biomedical knowledge related to human health from very different research disciplines such as genomics, proteomics, clinical research and epidemiology. The ultimate objectives of BMI are to support molecular medicine and personalised healthcare. The advances in information and communication technologies (ICT), coupled with the increased knowledge about the human genome, have opened new perspectives for the study of complex diseases. There is a growing need to integrate and translate the knowledge about human genome into concrete benefits for all citizens such as more effective disease prevention mechanisms, individualised medicines and treatments and many other aspects of future citizen centred healthcare systems. To carry out the work it is important to add value to the data that is stored in huge, publicly accessible research databases around the world generated by functional genomics and proteomics research by linking it with patient’s clinical and genetic information that is stored in mostly smaller and secured clinical information databases and electronic health records.
The use of biomedical data for scientific study, problem solving and charting the best path to improve human health. According to the American Medical Informatics Association, biomedical informatics applies theories and processes to help generate, store, retrieve, use and share biomedical data by advancing computing, communication and information science as it applies to biomedicine. It investigates, simulates, experiments with and translates a wide swath of biological systems to connect basic and clinical research with practical application for the overall betterment of healthcare. Biomedical informatics encompasses four subfields – public health, clinical, imaging and bioinformatics – while incorporating the component sciences, including computer, clinical, basic biomedical, cognitive, bioengineering, management, epidemiology and statistics. Public health Informatics focuses on society as a whole, such as preparing for a bioterrorist attack or expanding upon an existing application such as the National Notifiable Disease Surveillance System. Clinical informatics is patient-based, and can be applied to issues such as collecting, managing, storing and disseminating electronic medical records. Imaging informatics focuses on tissues and organs by advancing applications such as the computerized tomography scanner, which utilizes software algorithms to render a three-dimensional image of specific organs. Bioinformatics deals with molecular and cellular processes, such as genomic sequencing.
Journal of Diagnostic Techniques and Biomedical Analysis