10 Years Beyond: The Role of Biomedical Computing in Future Health Care

Healthcare delivery system in recent times is confronted with a lot of problems, cost, accessibility and quality of care. To be able to address these problems, healthcare organizations rely on information science technology to enhance cost-effectiveness, and safe quality care.

Techniques and technologies in the medical field constantly evolve and change. With such a huge increase in information, there is

Recently technology has become a significant part of society, specifically for the medical field. People in the past have expressed concerns about the security and safety of implementing artificial intelligence (AI) into the medical field. Artificial intelligence is a computer system with human capabilities, such as decision making. Research has shown that AI could increase the efficiency and quality of patient care in the medical field. AI could greatly improve efficiency by using software that can analyze all of the symptoms the patient has and the patient’s family history in a shorter period of time than a human doctor could. For the time period from 2000 to 2010 the conversation about artificial intelligence was focused on the ethical

Over the past decade, virtually every major industry invested heavily in computerization. The heath care industry was no exception to the rise in the use of technology. These technologies are starting to allow health care practitioners to offer faster, and more efficient patient care than ever before. No doubt this is the right direction we expect health care to follow.

The mapping of human genes has allowed for certain genetic disorders to be identified according to the genes that it is affecting. This has created a map that other individuals' genes can be compared to in order to determine any mistakes or any alterations that may lead to the development of a disease. Any changes in epigenetic

This article is one of the most interesting in discussion of a practical involvement of artificial intelligence into the current healthcare system. The matter here is that this article consists predominantly with the critics of contemporary technology, underlining the importance of the further investigations of it. But at the same time, Salvado claims that artificial intelligence, as the technology of a future has a considerable number of advantages.

Worldwide use of computer technology in medicine began in the early 1950s with the rise of the computers. In 1949, Gustav Wagner established the first professional organization for informatics in Germany. Medical informatics research units began to appear during the 1970s in Poland and in the U.S. Since then the development of high-quality health informatics research, education and infrastructure has been a goal of the U.S. and the European Union. (NYU graduate training program, 2010) Changes in the healthcare environment produced fundamental shifts in the delivery of healthcare. The altering landscape of healthcare is creating a huge demand for health data analytics. The growth and maturity of healthcare informatics over the past decade has been a prime catalyst in positioning the healthcare industry for the changes posed by reform measures. By understanding the process of analytics, clinical informatics specialists say healthcare providers have the insight necessary to make the process adjustments in the future.(Riskin, 2013)

The emergence of electronic medical record system (EMR), portal technology, remote monitoring tools, wireless communication telemedicine, sensors and wearable technology, Pharmacogenomics are all examples of advancements in the health care that have emerged over the last few years. These

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

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

This stream of research eventually developed into a dedicated discipline, Artificial Intelligence in Medicine (AIM), with wide appeal and broad consensus for optimism. In 1970, Schwartz announced in the New England Journal of Medicine that clinical computing would likely be commonplace in the “not too distant future.” The use of computerized clinical information systems to support hospital operation as well as clinical activities started to flourish in the early 1990s. Besides the significant technological breakthroughs, including the availability of enterprise-level database management systems (DBMS) and health data standards such as ICD and HL7, new legislation and advocacy by federal funding agencies also played a key role. International Statistical Classification of Diseases: Standard diagnostic classification developed by the World Health Organization (WHO) for its member states to report mortality and morbidity statistics. In the United States, ICD-9-CM (ICD 9th Revision, Clinical Modification) is widely used to codify diagnostic data for administrative (such as billing) purposes. http://www.cdc.gov/nchs/datawh/ftpserv/ftpICD9/ftpICD9.htm. Health Level Seven (HL7) is an all-volunteer, not-for-profit organization. It oversees the development of international health data exchange standards. http://www.hl7.org. Financial investments to implement large-scale health IT systems were made by the Agency for

Nowadays, although healthcare informatics isn’t a completely mature branch, it has received a huge collaboration in the last decade with the development of advanced softwares to support the recompilation based on the determined and more standards, storage and safe/accurate information sharing. With the technology’s advances, healthcare informatics procedures are getting more automated every time; approximately

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 diseases throughout history.

There are various other healthcare opportunities such as providing a platform for ubiquitous healthcare and patient diagnoses. Therefore with a unified computational

Machines with AI could be used in medical facilities to diagnose illnesses or to search for symptoms or the presence of anomalies in the bodies of patients (Keiser, 2017). Doctors constantly lament the delays in diagnosing diseases in a developing country. The use Artificial