Healthcare Is Evolving And Applying New Innovations Into Its Field

Informatics is the science of the management of information. It includes different techniques on how the information is collected, stored, utilized and sent to other locations or transmitted. Informatics utilizes computers to process this information. Clinical informatics is also known as health informatics. Clinical informatics is the application and integration part of informatics. It takes the information that has been studied and learned and puts it into practice. (Coiera, 2015). Thus supporting best practices amongst organizations and improving the quality of care given. Informatics takes information studied and uses it to improve efficiency of care givers, eases quality improvement measures, and aids in decreasing liability risks (Aston, 2014).

Health information technology (HIT) is revolutionizing the way we interact with health-related data. One example of this is the obvious rise in

In this fast paced ever changing world, there is always a need to increase the efficiency and reduce the time required for a particular problem to be solved. Most biological experiments, apart from being time consuming, are unpredictable and difficult to maintain, which results in a wastage of resources. With the advent of computers and their increased application in many different fields of study, we can now theoretically test out the hypothesis before proceeding with the practical experiment. Computational biology, as it is termed, is paving the path towards achieving this. With the success of the human genome project, the need for biologists equipped with the ability to look at diseases from a computational and mathematical standpoint

The principal utilization of health informatics began in the 1950s with dental information gathered by the National Institute of Standards and Technology (NIST). Utilization accelerated in subsequent decades which gave a standard programming language to clinical applications. Today, the International Medical Informatics Association (IMIA) oversees member organizations involved in health informatics worldwide. (Rouse, 2010). The potential for health IT to enhance the safety of health care delivery has been regarded for quite a long time. The Health Information Technology for Economic and Clinical Health (HITECH) Act,

Medicine in the 21st Century has continued to push the boundaries of science to unthinkable limits, often fusing complex technological elements and concepts together to achieve great feats. Two major contributing factors that have increased the use of high-technology in modern day medicine are Evidence-based Medicine and Health-Informatics. One study completed at Ohio State University (2016) proved how beneficial combining high-technologies such as Health Informatics Tools (HIT) and Evidence-Based Medicine can be. "Achieving a vision of 'interventional informatics ' will requires us to re-think how we study HIT tools in order to generate the necessary evidence-base that can support and justify their use as a primary means of improving the human condition" (Embi et al, 2016). This synergistic effect is just one of many countless examples of the successful advancements in medicine today. These strings of successful advancements in medicine can almost certainly be linked to the progression of specific

“Bioinformatics is sub-field of biomedical informatics that is concerned with biological data, particularly DNA and genomic information, as opposed to clinical, public health or other data” (Hoyt et al., 2014, p. 5). Bioinformatics is a relatively new field started by the Human Genome Project and have built databases for a variety functional data as a means for accelerating research (Maojo & Kulikowski, 2003, p. 515). Although health informatics, biomedical informatics and bioinformatics have different scope, historical background and application of scientific foundations, all three of the fields uses technology to collect data, information and knowledge which can add positive contribution to medical, clinical, public health and research in some way shape or form.

Health informatics is the bridging of computer science, information and the health care field. This interdisciplinary field can be applied to a range of medical fields such as nursing, biomedicine, medicine and subspecialties such as immunology (immunoinformatics). Informatics not only has roles to play in day-to-day areas of immunology such as data storage/retrieval, decision support, standards and electronic health care records but also in research and education such as data mining and simulation systems (Coiera, 2002). Informatics and more specifically, health informatics first started being used in in the late 1950s with the rise of computers (Ho, 2010). Technologies such as computers allowed practitioners and researches

The study of the hereditary information present in the genes of an organism is known as Genomics. Genomic research influences health care practice, and helps improve human health. There

In graduate school, I would like to work with Dr Cynthia Gibas with focus on bioinformatics of genome analysis. I was thrilled about her contribution in this field, and her book “Developing Bioinformatics Computer Skills” which was written in a genuinely remarkable

This keen interest in pursuing a master degree in biomedical informatics is borne out of a desire to acquire knowledge and from a number of experiences and encounters I had during the course of my upbringing, my medical training and practice as a doctor. They served as my earliest contact with health information issues as well as the major drive behind my interest in pursuing a master degree in biomedical informatics.

Disruptive innovation process is for all businesses and in health care it is proved to be the most useful innovation because it helped in making healthcare available for all and affordable for all. The well design model of business administration used by big industries to cut down the cost and making the expensive technological services and goods available to mass is called "Disruptive Innovation''. This process used in health care has changed the affordability and make it accessible to all general people.

The Human Genome Project (HGP), an international scientific research project, has educated the public tremendously on various topics concerning DNA and genetics. This study has been beneficial to communities alike. As stated, the HGP sought to identify all the genes in human DNA, determine the sequences of the three billion chemical base pairs that make up human DNA, store this information in databases, improve tools for data analysis, transfer related technologies to the private sector, and address the ethical, legal, and social issues that may arise from the project. In favor of achieving these goals, scientists studied the genetic makeup of several nonhuman organisms (Human Genome Management Information System, 2011).

The Intro to Health Informatics course has provided a broad range of health information that introduces the core concepts in the biomedical community. Throughout this course, my learning experience in health informatics has advance, for I was able to learn a list of materials including: the relationship of biomedical informatics and its related field; the roles of informatics in decision support systems and related health IT applications; and the importance of biomedicine and the use of biomedical information. In the Biomedical Informatics (4th edition) text book, it reflects the outstanding changes in both computing and health care that continues to occur. These changes have set a high rate of interest in the roles that health IT must play in the health care.

Biologists and life science researchers have been increasingly facing the challenge of dealing with large amounts of biological data. For example, sequencing the human genome requires the computing power of processing highly complex algorithms that can only be achieved in computers. Computational biology and bioinformatics have a lot of things in common yet some parts not in common. Computational biology concerns about developing data-analytical modeling and computational simulation to study biological systems. On the other hand, bioinformatics involves how to extract, store, organize, analyze and visualize life-sciences data.

Some of the capacities in which biomedical engineering may be useful are designing software, instruments and devices, combining knowledge from several technical sources to develop new procedures and research aimed at solving clinical problems. For example, bioinformatics uses computer tools to collect and analyze data related to biology and medicine, and biomaterials includes using living and artificial materials for implantations.