The Importance Of Artificial Intelligence In Medicine

In our society today, we have a broad range of computer technology for our use. This technology in the nursing field is called informatics. Informatics is defined as a combination of computer science, information science, and nursing science designed to assist in the management and processing of nursing data, information, and the knowledge to support the practice of nursing and the delivery of nursing care (Thede, 1). Nearly anywhere we go, and whatever career we choose we all need to have basic computer skills. Computers are used in the health care profession due to an increase of productivity they can provide, therefore allowing for better patient care. Computers also allow for hospitals, doctor’s offices, and other healthcare facilities to change over to and begin keeping electronic medical records (EMR). An EMR has the medical information that the doctors and nurses obtain when you have an office visit. The patient’s paper medical record is put into an EMR program is basically made into a digital version of that patient’s medical information. The patient’s healthcare provider can then use these EMRs for diagnoses and treatment. There can be advantages and disadvantages for healthcare providers to transition to an EMR system, and those providers will have to decide which one will outweigh the other.

This is critical in the medical field because it allows healthcare workers to access the information needed to provide patients with the care they deserve. Physicians, nurses, and technicians can use this technology to look medical records and past diagnosis to create future care plans for the patient.For example, the simple use of the cell phone pictures could favor in formulating a medical or nursing diagnosis. The enhanced technology regarding smartphones and digital cameras are now being tested as diagnostic tools. Some physicians are considering this process as a mean of time and cost efficiency, as well as a way to develop existing diagnostic and management practices (C., 2010).

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.

In the past, doctors have used old ways of writing prescriptions and keeping health records. The days of the doctor writing a prescription on a pad in handwriting only they can read are over. Also, electronic health records make accessing records a breeze. The doctor’s experience now is much easier now with implementations of virtual prescription, electronic health records, and the ability to speak with a doctor from the comfort of your own home. In the future, the experience will be made a lot easier by taking the human doctor out of the equation and providing a program that scans someone and comes up with a diagnosis within seconds.

The advent of the Electronic Health Record is ushering in a new era in advanced healthcare. The next 20 years will be an exciting time to be involved in health care as a Health Information Manager. Analyzing the myriad of health information which could reveal astonishing medical breakthroughs excites my imagination. I see the perfect pathway for my future. I am on track to graduate with Honors from Portland Community College’s Health Information Management Program in June 2016.

Watson, a computer developed by IBM, is now being used in hospitals around the world to help diagnose and treat cancer patients. Currently, Watson is being used most closely at Memorial Sloan Kettering in New York, but also at about eight other hospitals around the world. Watson was brought in to help oncologists with diagnosis because there was a fear that the doctors would not be able to keep up with all of the new medical materials coming out, that information was being improperly communicated or not being taken into consideration, and that about 20% of cancer patients in the U.S. are misdiagnosed. Watson is able to compile data from hundreds and thousands of pages of articles, medical textbooks, and journals to prioritize information

Cloud computing-based medical records management is making it possible for hospitals and treatment centers to have a single, unified system of record for their current and past patient population (Corredor, Martínez, Familiar, 2011). This has drastically reduced duplication of records management systems, minimized reporting and billing errors, and created a highly effective platform for patient-based analytics (Martin, Yen, Tan, 2002). The insights and intelligence gained from the analytics driven from patient systems is also making it possible for healthcare providers to better redefine process workflows, making hospital operations more cost-effective. The combining of cloud computing platforms and telemedicine is streamlining the treatment plans for

In observation, (Fahnestock, McComb, & Deshmukh, 2013) stated "Information technologies are transforming the way healthcare is delivered. Innovations such as computer-based patient records, hospital information systems, computer-based decision support tools, community health information networks and new ways of distributing health information.” (p.3.2). In the sector of delivering healthcare using technology, has made it easier for healthcare professionals to access medical records, digitization of prescriptions and view test results. With the use of high-performance devices being used in the hospital, helps to make the jobs of healthcare professionals a little easier. As well as relieve anxiety from anxious patients that may be awaiting lab results to come back. Therefore, IT devices and services has been and continues to be a tremendous help and game changer for the healthcare system. However, there is still a lot of work to be done to help shape and reform the healthcare

Dr. Ahrendt noted the huge advancements that have been made over the last decade, but made sure to note that the math behind AI and machine learning is quite old mathematics. “Now that we can compute things so quickly… we can see the bloom of AI and machine learning.”

As technology continues to evolve so does the need for healthcare facilities to continually maintain a higher level of competence that runs parallel to electronic and scientific advancement. Comparatively, the structure of hi-tech facilities, such as medical centers and clinics prepared with new amenities has enhanced the industry scale of communities by working in the healthcare arena. Likewise, technological innovations which help diagnose a variety of infections and disorders has helped in assisting patients in receiving increased quality care. As a result, patient care as a whole has positively been affected within the last decade. Furthermore, it only make sense that more personalized and precise problem-solving methods and

Technology has been intertwined with medicine for a very long time. The more advances within technology also effects medicine, and people are experiencing advances in medicine just as quickly as they are exposed to advances in technology. The two go hand in hand with each other and some of the fears that come along with technology are not feared as much when they are able to assist within the medical world, yet the fears of artificial intelligence is something highly feared in all areas for many people. Medicine is as reliant the advances technology brings as it continues to be reliant on emotional caring of those who work in such fields, which is an area that even an artificial intelligent robot is not yet capable of accomplishing. Except,

There have been huge leaps and bounds in the delivery of health care as a result of incorporation of information technology, creating a wider, more cost effective coverage in health care. These growths cuts across all aspects of the system, ranging from patient care, to hospital maintenance, improvement in data processing, and more. The For example, there are apps that can be installed on smart phones that assist in diagnosis and act as virtual doctors, others also grants patients access to doctors on-line, for example, Doctor-on-Demand, an app which gives access to a video visit with a board certified medical professional, all from the comfort of your

Scientists found that this Artifical Intelligence (AI) swiftly studies the critical feature of cardiac function to predict heart failure and death.

Furthermore, Fish presented some of his arguments unfairly by ignoring certain advantages of artificial intelligence altogether. Fish (2011) asserts that the impressive achievement of creating Watson cannot compare to the achievement by the human thought. On the contrary, I disagree with such an assertion because beating two considerably smart men on a quiz game clearly suggests that Watson is more efficient in some way or another. Moreover, systems similar to Watson have been used in the medical field to diagnose certain diseases and generate diagnosis. In this case, computational skill of the robot, thoughtless as it may be, is achieving with more efficiency manual work that would otherwise be done with the human thought.

These personal companions are able to monitor every human reaction to physical and emotional stimuli, as well as, how a specific disease process is affecting the different systems of the body, and how medications are systemically treating any disease process. This system will detect disease processes much earlier than is capable at the present time. This information is then transmitted to this global health care network, as previously mentioned, and the data used to better understand disease processes and help to find cures for these diseases. The human genome has also been decoded by computers, for the cost of around one-hundred dollars. With this technology, medical professionals can better understand why some people, and who these people are specifically, are more susceptible to different types of cancer, heart disease, diabetes and so on. These chronic conditions and diseases will be cured and prevented and the larger problem will be mutating viruses and “super bugs”, for which pharmaceutical companies have put very little effort into developing curative or nonresistant medications.