Artificial Intelligence in Medicine

Background: “When Doctor Make Mistakes” is the essay from Gawande’s book Complications. It is mainly about the mistakes that doctor make.

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

The argument of the author consists of the limitations of the practical model of diagnosis, which have current systems based on the AI. Salvado underlines, even throughout the significant gap between the amount of information of which the computer may know, compared to the human brain, there is still a great difference between the accuracy of diagnosis provided by a real doctor and a program. The examples provided by the author brightly support his argument and show disadvantages and gaps in the current model of artificial intelligence technology application.

Clinical Decision Support System (CDSS) has potential chances to enhance general security, quality what's more, cost-adequacy of human services. The CDSS has existed for over four decades, yet its selection rate by therapeutic groups is not empowering even in the nations that have been a pioneer in creating them. At numerous locales, it was hazardous, slowed down in the arranging stages or never at any point endeavored. To date, CDSS is considered as an incompletely effective framework. A few current difficulties have not been enough tended to amid the improvement of CDSS. According to most recent research, the arrangements of difficulties are: enhance the human-PC interface,

1. A Clinical Support System is a system that aids physicians and clinical staff in finding the right course of action for patient care. The system recommends the action and also explains why that route was chosen for that specific patient. An example of a clinical support system is one that assists with the retrieval of scientific medical information as well as takes into consideration the particular clinical context. The system does not perform the clinical decision making but it provides relevant information, analyses and recommendations about the specific patient, this helps the healthcare provider make an educated decision about the care that needs to be provided.

Technology in our age today has been emerging, and as the years advance it is certain that it will continue to facilitate the world that we live in on many different scales. In relation to medical care and advancement, technology can be used in many ways to enhance healthcare delivery and patient care. Through technology communication within the interdisciplinary teams of a patient which sometimes involves various specialties, is highly facilitated. Medical records are now easily shared within the team of specialist. For example, records such as specialty doctor's recommendations and laboratory records arrive faster at the primary care physician fingertip. This helps immensely in the providers decision making process for sometimes very time sensitive, lifesaving treatments preferences. Technology also helps to improve health care delivery and patient care because it has played a major role in decreasing the rates of preventable medical errors that are sometimes costly to patient lives. In an article published by the Internatinal Journal of Health

Throughout the course of Health Information 371, we have looked at various tools that are used or could be used in the field to help design, build, and implement systems. These tools explored concepts that were mostly related to the medical standpoint on how to diagnose patient’s through decision-making techniques. This helps the health professional make an accurate diagnosis based off of evidence and not speculation. Within the Health Information field, as informatics specialists we need to consider all of these techniques when designing the systems, creating policies, and updating the servers. Having knowledge on these tools will assist us when creating technologies, which will give health professionals all the necessary techniques to give the patient the best possible care available. Four tools that I believe will have a significant potential to affect my approach while practicing

There are numerous benefits of implementing the clinical information system such as the ability to access patients’ information on the go. It is very important for healthcare professionals and healthcare workers to be able to access patients’ medical data and information on a regular basis. For example, healthcare professionals now have easy access to patients’ information such as vital signs, health history, diagnostics imaging, among other tests. Moreover, implementing clinical information system will allow physicians to prescribe medications to patients in a safer way, which helps to reduce error (Kudyba, 2010). Also, CIS helps to prevent errors in documentation, for example, handwritings that are illegible and difficult to read, CIS would eliminate such problems.

Additionally, this will assist the physicians for the changing field of medication through a group based approach to deal with preparing and patient consideration, because it included a program that spotlights on capacity to problem solve, think discriminatingly, and discover data proficiently. I cannot think of any disadvantages of the physician of the future because they will have comprehensive training and experience because of them spending two years performing with an assigned doctor and with a designated patient going with them to doctor’s appointments, hospital, and

According to the report it was estimated “that as many as 98,000 people die in the U.S. every year from avoidable medical errors” (Dephillips, 2007). As an outcome, healthcare industry eventually started to consider the role of technology to prevent medical errors. Most medical errors are predicted to be associated with the patient data. This patient data could be in terms of a medical history, test results, or a reaction to a particular medication.

Artifical intelligence has been used widely in the research for the treatment of cancer and brain diseases. But the first such usage of AI in the analysis of the moving images of heart made the study more challenging for the researchers.

In the medical field, there are many career choices for whom desires it. Three has been an interest, the first one is Surgical Registered Nurse, second is Physician Assistant, and lastly Registered Nurse Anesthetist. The careers that’s been chosen for a reasons that will be briefly explained and what can it provide for individuals interest. The fascinating thing about these three choices is that they are emerging technologies that can save a person’s life or help someone to get better. Facts will be provided in this paper along with ethical issues, limitations, problem solving situations, and cited facts as proof.

Hernandez, D. (June 2, 2014) Artificial Intelligence Is Now Telling Doctors How To Treat You. Kaiser Health News. Retrieved from http://www.wired.com/2014/06/ai-healthcare/

Bowsher et al., (2016) described medical intelligence as a "distinct field for global health agenda for the adopting of the public health program for action" (p.269) to illustrate Medical Intelligence.:

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