Artificial Intelligence: The Turing Test

Therefor she should adopt the both of rational and emotional advertising. Rational advertising will play the role of justification and proving the emotional decision. Emotional will try to create passion and desire. In addition, emotional appeals should emphasize on safety, quality and hospitality. The technological advances are compatible within the hospitals, the human factors play a significant role to promote the hospital to public as an example: hospital with an excellent nursing crew and talent doctors will surely have a good reputation.

Unsurprisingly, healthcare vital sponsors like administrators and decision makers are always on the lookout for appropriate methods to better manage the above-mentioned problems, streamline the system and as a result improve the outcomes and experience for the patient, and at the same time, optimize the escalating costs(4). Lean Six Sigma is one of the ways to try to achieve this end goal through better process management, removing non-value add components from the system and making the healthcare delivery system defect free. It is a suitable methodology for application to healthcare settings as it requires attention to detail and can support and sustain the volume, speed and precision involved in various healthcare processes(5). Objectives of the Review: • The objective of this review is to understand the basics of Six Sigma and Lean and what tools these methodologies use to improve different processes and solve certain business problems. In addition to that it is also imperative to see how these methodologies can be implemented on to some of the healthcare processes to improve process efficiency and clinical

For Medicaid patients, the care continuum stretches to the primary care provider to provide care at a lower cost. The integrated delivery system (IDS) develops a clinical integration Network according to Health Research & Educational Trust and Kaufman, Hall & Associates, Inc., “aimed to improve quality, enhance access, lower costs, achieve clear first-mover advantage, improve stakeholder (physician and patient) satisfaction and improve its performance in a value-based reimbursement environment” (p20, 2012). Therefore, the ACOs are increasing

Jeff has himself a teaching robot that he believes will be instrumental in learning Martian Swahili. But Norby the robot turns out to have far many more special powers than most robots he has come across. Norby comes with hyperspace and antigravity capacities even though controlling those powers is a problem. Things become even more complicated when Ing the Ingrate announces his plans to take over the galaxy. Being the evil man that he is, it is now up to Jeff, Norby, and Jeff’s older brother to take him on.

The birth of the known universe has been a problem that has stumped scientists for centuries. Einstein's theory similar suggests that the universe, or the so-called space-time metric, is expanding and that is what cleared most of the doubts of the scientists. Without Einstein, this fundamental piece of physics that underpins much of how we understand our universe today would have been far harder to unravel and that leads us to black holes. Black holes are among the most mysterious objects in our universe - concentrated wells of gravity from which nothing, not even light can escape. But without this we would have never benefited from the wild imaginations of science fiction writers as they speculated what lies beyond a black hole.

He had been a fascinating person so ever in the field of fiction filled with adventure. In the end, what intrigues us most about the robot stories and novels is the conviction that we are no better than the robots, and perhaps worse. Perhaps we are simply the servants of human history, and our discovery of the Zeroth Law led to our Fall from grace. Scıence fıctıon started to blossom when the masterpıece of Asımov’s work “The End Of Eternıty” flourıshed and ultımately ended up beıng claımed as one of the best novels of Scıence Fıctıon worth readıng. In the book, Andrew Harland, a man of eternal vıews dwells ınto the past and the present tıme to brıng ın changes ın Cause-Effect relatıonshıps.

Specifically applications involving the areas of biomaterials and tissue engineering, biomechanics and prosthetics and micro and smart systems hold immense promise and interest. I believe that working under renowned scholars such as Melissa A. Grunlan,Akhilesh K. Gaharwar,Duncan J. Maitlandwill only improve and develop my knowledge further and develop a logical and creative approach to approach medical problems and requirements in the right

As a result of this, we need to collaborate with other healthcare team in order to provide the best care for patients. I collaborate with my nursing colleague to share information and skills to enhance the quality of care and to improve nursing practice. Effective collaboration in nursing care enable me as well as other nursing staff to ensure continuation in patients’ care, providing a holistic care for patients, preventing errors in nursing care and avoiding gaps in nursing care. 7.4 Current research The definition of collaboration in a healthcare setting is the “joint communicating and decision-making process with the expressed goal of satisfying patient wellness and illness needs while respecting the unique qualities and abilities of each professional” (Henneman et al, p. 104). Tschannen (2004) studied collaboration and teamwork among healthcare professionals and found that the collaborative process resulted in positive patient outcomes, including a higher level of patient well-being and less fragmentation of care.

Abstract— The growth of the idea of business intelligence and analysis has emphasize the significance of the set, combination, processing of data and reporting of fundamental knowledge and how this knowledge can assist to make more suitable business decisions, obtain a better understanding of marketplace behaviors and trends. Great growth of the data has enabled us to uncover the hidden knowledge from data. We can use the Big Data analysis for effective decision making in healthcare domain using the existing machine learning algorithms with some modification to it This paper summarizes the role of Big Data analysis in healthcare and various shortcomings of traditional machine learning algorithms. Keywords— Big Data, knowledge, of Health Informatics,

Evidence-based practice specifically focuses on a holistic approach that encompasses clinical expertise, patient values, and the best researched evidence to improve patient care outcomes. As healthcare trends change to comply with the adoption of enhanced technology, compliance of government healthcare reimbursements, and higher quality care, strong leadership and continued research is needed (Huber, 2014). Nurse leaders have the vital, but sometimes challenging duty of promoting evidence-based practices in a usually complex healthcare setting. Not only should the nurse leader gather clinical data that may help improve patient outcomes and nurse practices, nurse leaders should also encourage a work environment that is open to the change that results from evidence-based practice discoveries. Through the development of a building-block approach, nurse leaders can promote evidence-based practices by incorporating the process in every aspect of the healthcare structure they supervise.