Cjhs400 R1 Individual Case Studies Essay - 1085 Words

University of Phoenix Material Individual Case Studies Case One: Violet Violet is a 20-year-old woman with a history of difficult relationships. She was in foster care from 12 to 18 years old. She attended a career college and is employed as a dental assistant. This is her first real job. She was referred to you after a patient at her dental office had a stalking complaint. She apparently began dating a young man (John) after meeting him at the dentist’s office. When she arrives for her appointment with you, she is dressed provocatively in a low-cut blouse and tight pants. She has heavy eye makeup on and seems to be very needy, becoming tearful several times during the session. At the start of the interview, she states that this†¦show more content†¦They met for dinner, and she ended up going to his apartment where they had sex. She reports that they saw each other every day for about 3 weeks, which often ended in sex. She states that he said he needed more space and asked that they not see each other any more. She then reported trying to get him back and calling him up to 20 times a day. He asked for a restraining order and phoned the dentist’s office asking for a referral to another dentist—he no longer felt comfortable coming into that office. Violet has had five other restraining orders in the past. Case Two: Max You are completing your graduate work at a local university by participating in an internship at a private mental health clinic. As a part of your internship, you were asked to cofacilitate a group for men and women with relationship difficulties. While cofacilitating the group, you meet Max, who was court ordered to participate as a result of allegations of assault. After a careful review, you find that he has six past charges of assault. Max is an attractive man in his mid-thirties. He is charming with both the males and female in the group. Although it is clear that he does not feel he should be in the group, you find that he adds dimension to it. After some time, Max discloses that he has been involved in multiple sexual relationships and says he â€Å"can get in any woman’s pants.† He also brags that he is smarter than anyone in the group, regardless of the fact that one person has a PhD in

Analysis Of No Child Left Behind - 1368 Words

The No Child Left Behind Act was to be President George W. Bush’s signature legislation coming into Office. After being delayed by the 9/11 Terror attacks, the act received wide bipartisan support and was passed into law. Its purpose was to â€Å"close the achievement gap with accountability, flexibility, and choice, so that no child (was) left behind† (One Hundred Seventh Congress of the United States of America 2008). In addition, â€Å"No Child Left Behind (aimed to continue) the legacy of the Brown v. Board decision by creating an education system that (was) more inclusive, responsive, and fair† (A Guide to Education and No Child Left Behind-- Pg 13 2007). Essentially, they were aiming to improve education with a problem definition amounting†¦show more content†¦This is completely counter to how the federal government has traditionally left education in the hands of the state and local governments. Another way that Bush could have defined the educati on problem is that, â€Å"compared to the rest of the world, the United States is falling behind in education rankings.† Just before NCLB was put into place, â€Å"Test scores (earned by American students in a 1998 international study were) much worse than the marks that American elementary and middle school students†¦earned on similar international exams in the past two years† (Sanchez 1998). America had a less homogenous society in terms of wealth, language, and socioeconomic background compared to many of the top performers like Finland and Japan (A Profile of Student Performance in Mathematics 2004). This explains the emphasis on closing the gap rather than catching up to other countries. Many alternatives were considered when NCLB was being fine-tuned. 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College Comp Free Essays

What did you learn about yourself as a writer? As a thinker? This term I learned as a writer, that I have to break the writer’s block but Just free writing and getting all my ideas out there and going back to edit my work. As a thinker I learned how to think and us correct punctuation and to also think about what I am writing and does it make sense. This course has been very beneficial to me, and I will continue to use the skills I have retained throughout my college/professional career. We will write a custom essay sample on College Comp or any similar topic only for you Order Now 2)What did you learn about the process of writing? I learned that the process of writing is a Journey. You have to want to embark on the journey to accomplish it and complete the task at hand. Writing a good paper is more than Just throwing words on paper, it critically thinking and executing the process of writing 3)What skills did you develop that might help you in the future? One of the most important skills I have learned is outlining. This has helped me this term to complete my final project. I will use this in future writing classes and in my career when writing. 4)What did you take from the larger conversation with others? I learned for the conversation with my classmates how to give constructive criticism as well take the criticism and make the corrections and ensure the end result is great. 5)How did your feedback from peers and your instructor affect the revision of your blueprint, letter to the editor, and presentation? The feedback that I received from my class mated and professor were so helpful in my Journey through this course. They helped me take out UN-useful text, and gave me ideas of where to add text to give my final project the girth it needs to hold my audience’s attention. How to cite College Comp, Papers

Professional Skills For Information And Communication Technology- Arti

Question: Discuss about the Professional Skills For Information And Communication Technology- Artificial Intelligence In Healthcare. Answer: Introduction Artificial intelligence defines the usage of the computer system that able the performance of the tasks that are generally needs Human Intelligence. Human intelligence includes functionalities like visual perception, speech recognition, decision-making and languages translation. Artificial intelligence may stimulate the human decision-making process. AI relies over human training and does not replace human intelligence (Karam 2014). The report is based on the project preparing an investigation on the requirement of the selected Healthcare organization Australian Medical Association on the aspect of developing its IT infrastructure. Thus, usage of AI increases the feasibility of expansion in business of this healthcare organization within the next five year. The Secretary General (CEO) of the software organization thus may conduct preliminary research and present. The CEO has the responsibility of daily basis management of the organization and report accordingly. The Australian Medica l Association (AMA) represents the most influenced organizational partnership for the registered medical practitioners as well as medical students of Australia (Zang et al. 2015). AMA helps the patients by improving the care by supporting the medical professions by huge options of services. But this services is provided keeping in mind the AMA Code of Ethics that represents the core of fundamental principles. The objective of this report is to identify the advances in intelligent computing or AI impact over healthcare organizations by providing retails, transport, financial services, operating equipments and many other things. Comparing the technological approaches used in Artificial Intelligence and thus addressing the issues relating to the development of AI in Healthcare. To conduct the investigation, primary and secondary approach has been used and thus how the information has been gathered. The report has been divided into two parts, in the first part general discussion of Artificial intelligence, revolution and implementation of AI oriented development has been proposed by some conversational idea for the betterment of organization. And in the second part critical analysis of the proposed advancement of AI in the organization is displayed. Artificial Intelligence Artificial Intelligence as stated by John McCarthy, The science and engineering of making intelligent machines, especially intelligent computer programs, refers the possibility of turning a software think intelligently equivalent to human thinking (Acampora et al. 2013). The main aim of Artificial Intelligence (AI) is to create systems that can exhibit similar human behavior and meet decision-making advancement. The use of algorithms that find patterns in data without explicit instruction. A system might learn how to associate features of inputs such as images with outputs such as labels. Artificial Intelligence in Healthcare As in the above discussion it has been clarified that AI the use of computer systems able to perform tasks that normally requires human intelligence like visual perception, speech recognition, decision-making and translation between languages (Ashrafian, Darzi and Athanasiou 2015). However, Artificial Intelligence helps in simulation of human decision-making but relies over training of the human intelligence. Other than structured data, numbers, facts AI is programmed to understand the natural language as well. Thus, AI technology is trained to make some logical decisions over time (Wong and Bressler 2016). Artificial intelligence provides rapid advancement technology in Healthcare and provides a lot more rich and relevant information to the customers and HCPs with on-demanding confidence to medical and clinical assessments. Artificial Intelligence has greatly advanced in the past few years especially in the healthcare professional (HCP) and patient communications (Jha and Topol 2016 ). Availability of Artificial Intelligence has grown to an extent that it not only helps in curing the disease but also supports personality profiles beyond the diseases. AI is taking a huge impact in advancing the management of all kind of organization especially Healthcare organizations. A software company attempts to solve the diverse healthcare challenge in Australian Medical Association (AMA) for the improvement of diagnosis outcome engaging the medical research (Ziuzia?ski, Furmankiewicz and So?tysik-Piorunkiewicz 2014). The healthcare organization in Australia is emerging toward the development of the markets. AI is spreading a huge opportunity for optimization care delivery, outcomes and costs by utilizing cognitive computing. Revolution of Artificial Intelligence In last 5 years, there has been a huge impact of AI in this world. There has been a quantum leap in the quality and reliability of a wide range of the daily technological aspect. In healthcare organization there are several complex and vital activities that includes making of the medical diagnoses, predicting the machines that may fail to reach certain market value in the Healthcare organizations, includes a lot of data sets and non-linear relationship within the entities (Dilsizian and Siegel 2014). These complex prediction, feature specification and data optimization are promised to deliver by the modern Artificial Intelligence. In HCPs there are requirement of advance in image recognition. There are advanced image recognition that has been displayed far beyond expectation. There are availability of medical startups that can utilize X-rays, MRIs, and CT scans. These technologies are more rapidly used and displays accurate radiologists (Furmankiewicz, So?tysik-Piorunkiewicz and Ziuz ia?ski 2014). There are several types of AI applications that are beyond quantum-computing conundrum are generally called the Artificial Intelligence system(Bennett and Hauser 2013). These are merely known as the advanced machine learning software that has extensive behavioral algorithms, which can adapt any situation. These machine are improving their skills and thus are not only getting smarter in the existential sense (Russell 2015). These can carry large data sets such that to store enough information in large organizations. Some examples of AI that are used vigorously now-a-day are: Apple Siri, Alexa, Tesla, Pandora, Cogito, Boxever, Amazon.com and many more (Hengstler, Enkel and Duelli 2016). In Healthcare organization AI is generally used for the data storage, analyze complex medical data, diagnosis processes, treatment protocol development, drug development, personalized medicine and patient monitoring and care, among others and human behavioral algorithm. Cortana and Siri have enormous po wer system with AI capabilities (Luxton 2014). There is a great potential for the applications for providing huge value when combined with healthcare applications (Vasant 2015). Healthcare applications are used to patient education material, deliver medication alerts and human-like interactions to understand a patient's current mental state. In the form of a personal assistant can have an incredible impact on the application of AI for monitoring and assisting patients with some of the requirements in the unavailability of clinical personnel (Michie et al. 2017). Some of the outcomes relating to healthcare in different parts of the world that manages medical records and other data, participating in repetitive jobs like test, CT scan, treatment designing, digitalize consultation, Virtual nurses, Medication management and several other aspects of healthcare organizations (Helbing et al. 2017). AI Developments in Healthcare Industry The applications that are related to the better outcome of any health care industry represent the most important AI development that are necessarily to be implemented to the Healthcare Industry. AI capabilities and mobile apps, patients can receive feedback on a number of data elements captured on their phone or wearable devices. Whether it relates to medication adherence or is simply a motivational voice that encourages fitness activities and healthy habits, AI as a personal life coach creates a customized experience for each individual patient and offers proactive alerts, which could be sent back to physicians. Application of Artificial Intelligence Most of the organizations has been disrupted by the influx of several new technologies in the age of information (Kreps and Neuhauser 2013). In the case of automation, healthcare plays a similar role. In fact the machine learning Artificial Intelligence (AI) the doctors, hospitals, organizations, insurance companies also ties to impact in a more positive way. These companies also searches for a substantial way for the betterment of their associated organizations (Furmankiewicz, So?tysik-Piorunkiewicz and Ziuzia?ski 2014). Some of the commonly used applications that helps in the advancement in any health care organization having IT infrastructure: Treatment Design: AI system has been developed and implemented in analyzing the data, take note and report the details of patients, external researches of the organization, and many more. Thus, helps in selecting customized treatment for each individual. Virtual Nurses: Digitalized nurses are set up that helps in maintain the regular check up of the patients with monitoring the conditions and follow up with treatment within intervals. There are similar kind of management in healthcare organization like: Managing Medical, Records and Other Data, Doing Repetitive Jobs, Digital Consultation, Drug Creation, Medication Management, Health Monitoring, Precision Medicine and Healthcare System Analysis In the revolution of this Artificial Intelligence across science and economy, researchers are unleashing artificial intelligence (AI) more often. This is done in the form of neutral network over data torrent. In earlier days deep learning system had to be done for the programmers to expertise in the field of AI, no AI does not requires to be programmed with human experts knowledge. AI has growth so advanced within last few years that now they can learn on their own, and this has been made possible from collection of large training data sets. The pattern and spot anomalies in data sets could be understood only by AI and is hard for the human being to understand and cope up. Application Proposal in Australian Medical Association As per the recommendation by CEO to the healthcare organization of Australian Medical Association, there need three main application requirements: Healthcare System Analysis, Medication Management and Creation of drugs. Almost 97% of healthcare invoices are digital. An organization can use AI to check through the data for pin pointing the mistakes in treatments, inefficiency in workflow and helps healthcare system areas to avoid unnecessary patient hospitalizations (Bennett and Hauser 2013). In this way, a sample of the AI solution may offer to the healthcare organization of Australian Medical Association. The capabilities of automation and digital workforces the innovation will be pushed from providers solutions to save time, lower costs, and increase accuracy will be possible (Russell 2015). The AiCure application can be included in IT infrastructure to monitor the that could be used for medication by a patient can be utilized by the organization of healthcare in Australia (Russell 2015). A webcam is paired up with a smart phone having AI infrastructure to autonomously confirm that patients are taking their prescriptions and helps them manage their condition. Most common users could be people with serious medical conditions, patients who may tend to go against the advice of the doctors and other participants in clinical trials (Bennett and Hauser 2013). And the last one is by Creating drugs that are necessary for the organization. Developing pharmaceuticals through clinical trials, which can takes more time and cost a lot more. This may make the process of curing much faster and cheaper since customized medicines could change the aspect of the Healthcare organizations (Jones 2015). Potential Advantages and Disadvantages of the proposals Some of the potential advantages of the proposal is that Modern health information systems facilitates the improvements in many ways like Faster diagnoses, Fewer malpractice claims, Improved care coordination, Prompt treatment Reduced errors (Luxton 2014). The combination of benefits facilitates the collaboration within the providers and the patients that results in effective case managements in the organization and healthcare industry, which in turn, can reduce the cost and helps to take care of the providers by making some meaningful use of the massive amounts of data provided. Despite of the advantages there are several disadvantages as well the availability of evidence and confirms in improvement of population in health outcomes and equity. Making much accurate utilization of the services provided. Keeping user satisfaction in mind and lowering the costs in health systems with a stronger orientation in primary care. The experts range from lawyers to engineers, who gather to discuss current and emerging legal, social, and ethical issues from robotics and artificial intelligence. Day one consisted of six panels that focused on technical and theoretical issues with robots and AI. The five panel discussions on day two focused on the regulatory challenges, as well as some solutions. Proposed Strategy Ethical, Social and Legal Considerations With more powerful, technology becomes more difficult for it could be used for useful reasons and betterment for the future. This applies not only to robots produced to replace human soldiers, or autonomous weapons, but also to AI systems that can cause damage if used maliciously. Because these fights will not be fought on the battleground only, cyber security will become even more important. After all, people are dealing with a system that is faster and more capable than us by orders of magnitude (Bennett and Hauser 2013). Though artificial intelligence is capable of a speed and capacity of processing that is far beyond that of humans, it cannot always be trusted to be fair and neutral. (Norris 2017). Intelligence comes from learning, whether youre human or machine. Systems usually have a training phase in which they "learn" to detect the right patterns and act according to their input. Once a system is fully trained, it can then go into test phase, where it is hit with more examples and we see how it performs (Acampora et al. 2013). Artificially intelligent helps in making the human conversation and relationships better. Economic system are based on contribution to the economic compensation. The majority of companies are still dependent on hourly wages work when it comes to production and services. However, by using artificial intelligence, a company can drastically change and thus relying on the human workforce will make task easier meaning that the revenue will ultimately go to fewer people. Conclusion The outline of the project has the impact on the development of artificial intelligence (AI) systems by exploring the impact of Artificial Intelligence in Health care organization. As the selected organization is Australian Medical Association. Where there is a requirement a change in the IT infrastructure and include some AI equipments for the betterment of patients and development of the organization. Artificial intelligence has been designed and studied about computer program that reacts to a wide variety of situations very flexibly and intelligently. It has a growing influence over modern computers related technologies and thus assures most of the complicated tasks possible. The development of new hardware and techniques is fueling ongoing movements to build Artificial Intelligence that can understand and thinks in a cognitive way. However, the potential advantages of such systems are yet unknown to all, and equally unknown are the potential technological developing the intellige nt machinery. Exploring the basic impact of the AI system on society and proposing a plan keeping in mind the enhancement of ethical and professional role for the artificial intelligence developers. Spreading an emphasis over the interpersonal communication of the organization with its patients, employee and customers and thus spreading the impact awareness amongst all. There are many useful aspect of Artificial intelligence in most of the domains, and are still willing for constant growth in the IT oriented industries. The initial step is to program the automated reasoning in Artificial intelligence. Thus, doing this the Automated reasoning can compute and take some of the encoded knowledge as input and hence provide proper conclusion on the basis of knowledge as their output. Recommendation There are four simple steps to implementing Artificial Intelligence in clinical organizations: Remote patient monitoring, Connectivity, Training AI and Comprehensive business model Recommendation 1: The improvement of AI must be inclined towards more specific approach other than generic. Implementing AI in remote patient monitoring (RPM) systems is the first step. When medical-grade wearable devices can provide real-time, clinically accurate data they have the potential to improve health outcomes through coaching and feedback. Recommendation 2: The control over the applications of AI in the Healthcare organization must be robust and technically supportive. The two main considerations in maintaining constant connectivity are security and data offloading. Security concerns can be offset by instituting Virtual Private Networks (VPNs) and external networks. Data collection and aggregation are AIs greatest needs, but requires constant, secure connectivity Recommendation 3: The usage of AI in the industry must have properly trained staffs to control the AI according to the requirements. AI could help improve health outcomes through its ability to expediently aggregate, cross-reference, and learn from data to determine its correlation to patient objectives. To improve health outcomes, AIs advanced machine learning algorithms require significant training periods to analyze large datasets specific to chronic medical conditions. References Karam, A., 2014. Artificial Intelligence in Health Care. Zang, Y., Zhang, F., Di, C.A. and Zhu, D., 2015. Advances of flexible pressure sensors toward artificial intelligence and health care applications.Materials Horizons,2(2), pp.140-156. Acampora, G., Cook, D.J., Rashidi, P. and Vasilakos, A.V., 2013. A survey on ambient intelligence in healthcare.Proceedings of the IEEE,101(12), pp.2470-2494. Ashrafian, H., Darzi, A. and Athanasiou, T., 2015. A novel modification of the Turing test for artificial intelligence and robotics in healthcare.The International Journal of Medical Robotics and Computer Assisted Surgery,11(1), pp.38-43. Wong, T.Y. and Bressler, N.M., 2016. Artificial intelligence with deep learning technology looks into diabetic retinopathy screening.JAMA,316(22), pp.2366-2367. Jha, S. and Topol, E.J., 2016. Adapting to artificial intelligence: radiologists and pathologists as information specialists.JAMA,316(22), pp.2353-2354. Ziuzia?ski, P., Furmankiewicz, M. and So?tysik-Piorunkiewicz, A., 2014. E-health artificial intelligence system implementation: case study of knowledge management dashboard of epidemiological data in Poland.International Journal of Biology and Biomedical Engineering,8, pp.164-171. Dilsizian, S.E. and Siegel, E.L., 2014. Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment.Current cardiology reports,16(1), p.441. Furmankiewicz, M., So?tysik-Piorunkiewicz, A. and Ziuzia?ski, P., 2014. Artificial intelligence systems for knowledge management in e-health: the study of intelligent software agents.Latest Trends on Systems,2, pp.551-556. Bennett, C.C. and Hauser, K., 2013. Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach.Artificial intelligence in medicine,57(1), pp.9-19. Russell, S., 2015. Ethics of artificial intelligence.Nature,521(7553), pp.415-416. Luxton, D.D., 2014. Artificial intelligence in psychological practice: Current and future applications and implications.Professional Psychology: Research and Practice,45(5), p.332. Hengstler, M., Enkel, E. and Duelli, S., 2016. Applied artificial intelligence and trustThe case of autonomous vehicles and medical assistance devices.Technological Forecasting and Social Change,105, pp.105-120. Vasant, P., 2015.Handbook of Research on Artificial Intelligence Techniques and Algorithms, 2 Volumes. Information Science Reference-Imprint of: IGI Publishing. Michie, S., Thomas, J., Johnston, M., Mac Aonghusa, P., Shawe-Taylor, J., Kelly, M.P., Deleris, L.A., Finnerty, A.N., Marques, M.M., Norris, E. and OMara-Eves, A., 2017. The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation.Implementation Science,12(1), p.121. Helbing, D., Frey, B.S., Gigerenzer, G., Hafen, E., Hagner, M., Hofstetter, Y., van den Hoven, J., Zicari, R.V. and Zwitter, A., 2017. Will Democracy Survive Big Data and Artificial Intelligence.Scientific American. Feb,25. Furmankiewicz, M., So?tysik-Piorunkiewicz, A. and Ziuzia?ski, P., 2014. Artificial Intelligence and Multi-agent software for e-health Knowledge Management System.Informatyka Ekonomiczna,2, p.32. Kreps, G.L. and Neuhauser, L., 2013. Artificial intelligence and immediacy: designing health communication to personally engage consumers and providers.Patient education and counseling,92(2), pp.205-210. Oliveira, T., Novais, P. and Neves, J., 2014. Development and implementation of clinical guidelines: An artificial intelligence perspective.Artificial intelligence review,42(4), pp.999-1027. Jones, M.T., 2015.Artificial Intelligence: A Systems Approach: A Systems Approach. Jones Bartlett Learning. Bennett, C.C. and Hauser, K., 2013. Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach.Artificial intelligence in medicine,57(1), pp.9-19. Norris, D.J., 2017. Introduction to Artificial Intelligence. InBeginning Artificial Intelligence with the Raspberry Pi(pp. 1-15). Apress.