Essay on Medical Diagnostic Expert System

Physicians located within wealthier and more populous areas have slightly better access to equipment and infrastructure, but the conditions differ only slightly. Doctors are extremely rushed with a constant overflow of patients and consistently working in hot rooms with little air circulation. This is problem does not only exist in the public clinics of general physicians. Specialist physicians have a persistent flood of patients who do not need a specialist’s care, but seek the specialist because there is no general physician available.

My time as an Emergency Room Medical Scribe has been insightful to a point that it has solidified my career path. Prior to entering this field of work, I didn’t realize how little I had known about terminology, doctor-patient interaction, or procedures. With a behind the scenes look, I could not only view but understand the reasoning behind a physician’s medical decision making. For example, there was once a patient who had the chief complaint of abdominal pain. This patient had been to the ER multiple times in the past and after a multitude of physical exams and imaging there was nothing to show as abnormal. Hitherto, the physician I was working with had a lengthy discussion with the patient and decided to do a CT after explaining the risks.

This mode is particularly useful in helping the user select the clinical manifestations that are important without forcing them to enter a large number of less relevant findings. At any time in this mode, the user can interrupt DXplain to ask “Why?” i.e. to ask DXplain to justify why this particular clinical manifestation is important. DXplain will respond by displaying the name of the disease that is being considered at that point in the interaction and the reason the particular finding might be important in confirming the presence of that disease. DXplain’s ability to explain and justify are key elements of the system. It is critical that this system not be perceived as a magic black box that can somehow provide the “answer” to a complex diagnostic problem. We believe that physicians will not accept DXplain as a useful diagnostic assistant unless the clinical interpretations seem reasonable and unless the system can offer explanations that are understandable and persuasive. (Barnett et al.,

Clinical expertise is required to assist with clinical decision making such as identifying what the problem is, locating best evidence research through databases,

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.

When faced with a tough, and timed emergency situation, there are many directions a heath care provider can go in from there. They can freeze, act improperly, or not quick enough, but some will also act professionally and correctly perhaps saving a patient's life. What determines the direction a health care provider will take is their experience. From knowledge to observation, a medical professional can learn the most efficient ways to work. But one way in particular, past medical experiences and the patient, provider relationship, can influence the decisions a health care provider will make. This can be demonstrated by both Atul Gawande, author of Complications: A Surgeon’s Note on an Imperfect Science, and within Courtney Davis’s The

Technology, decision-making processes, and data accessibility have changed dramatically in recent years. This paper will discuss systems and informatics theories. The paper will confer on the Data, Information, and Knowledge (DIK) Model. The role of expert system in nursing care and medicine will be provided. Decision aids and decision support systems are used everyday providing focus, leadership and direction within technology and will be examined. The use of technology for patient and client management will be explored. An analysis of the

There are many key components in approaching access to health care: coverage, services, timeliness and workforce (Healthy People 2020, 2015). Patients who have a positive and consistent source of care will ultimately have better end results, minor discrepancies and fewer costs (Healthy People 2020, 2015). Timeliness is the health system’s capability to optimize services in a convenient manner, whether it embraces the time spent either waiting in a doctor’s office or an emergency department. At the same time for many patients it encompasses the time between analyzing the need for tests or treatment and obtaining those results. Working as an ER nurse there has been incredible long waiting times in emergency rooms secondary to the fact that people are using the ER for care and more notably as their primary care physician. Likewise prolonged Emergency department wait times can decrease patient satisfaction and notably people leave without been seen. Finally the different element of workforce is vital in contributing access to health services. Primary Care Physicians (PCPs) play an important role in providing access to health services and it has been noted that many medical students are leaning away from working in primary care (Healthy People 2020, 2015). Our ultimate goal is to direct them towards that needed profession.

Logic models represent a visual way of expressing the rationale or thought behind a program. Two other forms of expression may help concurrently support the development of a logic model, or accompany the model if it is to be communicated through written materials.

There is a great need for change in the healthcare industry because people should not have to wait for months to schedule an appointment or wait " 存ix hours to be seen in emergency rooms" (Samitt, 2004, p. 37).

What makes this even worse is the time spent having to collect lots of information, which leaves significantly less time for healthcare providers to counsel their patients once a diagnosis is made. Counseling and support are equally

This system is divided in a knowledge base and inference rules. In the video, this system is used when it comes the control center. The employees are checking flights and regulating flows thanks to precious information given in their computer like the weather, the flow rate and a packaging monitoring.

“A logic model is nothing more than a concept map that visually describe the logic of how your program is suppose to work” (Grinnell, Gabor, Unrau, & Grinnell,

A therapeutic specialist won't have the capacity to legitimately treat his patient on the off chance that he won't know for beyond any doubt what his patient's disease is. This is the reason the part of pathology experts is critical in the conclusion and treatment of patients.

The purpose of this report is to give information on the subject known as Logical reasoning and its use in Computer Science and computers in general. A historical background behind logic and Logical reasoning is firstly given, followed by an overview of the modern subject and the types it’s divided into. The types are then explained. The overlap between the field of logic and that of computer science is also given an explanation. The report ends with a brief overview on the subject and its tie to computer science and computing.