Introduction and Project Aims In this section, you analyse the context and complexity of the problem, and identify a relevant aim(s) and objectives for your project. · Analyse the complexity of the...

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Introduction and Project Aims In this section, you analyse the context and complexity of the problem, and identify a relevant aim(s) and objectives for your project. · Analyse the complexity of the problem. This should include a well-supported integration of the available published information on your group’s specific topic, drawing out multiple disciplinary perspectives and contexts. · Based on this analysis, clearly state the problem or opportunity that your group focused on and explain why this is a significant area for exploration. · Specify the aim(s) or research question(s) investigated by your group, together with the objectives of your project (i.e., steps that helped you achieve your aim(s). Artificial intelligence (AI) is an advanced computational system using high processing power to accurately simulate human-like activities. Currently, IBM employs AI across the healthcare sector, including cardiology, imaging, and data analytics (IBM, 2021). Critical care is a key area which could leverage AI assistance for timely diagnosis, prognosis, and treatment accuracy (Mamdani & Slutsky, 2020). In disease prognosis and management, intensivists must process high volumes of patient data with efficiency, whilst errors in prognostication may cause harm upon the patient. Although intensive care units (ICU) could benefit from the processing abilities of AI, their application in healthcare has been a matter of debate. Due to issues surrounding patient trust and medical ethics, these challenges need to be addressed before AI can be implemented in critical care (Kerasido et al., 2021).  (this is the overview part, I need you to re-word it without changing the topics of the sentences, and just make it so it doesn’t count as plagiarism) keep it around 100 words The implementation of AI into medicine is bound by several ethical obligations, comprising the principles of: beneficence, nonmaleficence, autonomy, and justice (Gerke et al., 2020; Varkey, 2021). Beneficence and nonmaleficence are defined as the act of clinical support and care for the wellbeing of the patient with avoidance of causing harm. Autonomy and justice define equitable treatment without discrimination, and allow patients to make decisions based on their own preferences (Beil et al., 2019). These ethical principles require a higher emotional quotient to perceive, and this ability of rational decision-making is absent in AI (Varkey, 2021; Bei et al., 2019). Other ethical issues that arise from AI implementation relate to informed consent and truth (Bei et al., 2019), two factors which are paramount to a strong doctor-patient relationship. While studies agree that AI assistance could be valuable in critical care, patient trust in AI is still limited (Triberti et al., 2020; Varkey, 2021). A study has also found that in order for patients to trust AI it must follow the medical ethics principles (Kerasidou et al., 2021). (integration of  bias) This is not justified if a company violates privacy rules and obtains personal data without consent (Triberti et al., 2020; Seneviratne et al., 2020). Therefore, AI integration in critical care remains controversial unless patients gain trust through transparency and assurance of confidentiality (Kerasidou et al., 2021). Need to write around 300 words on ethical issues with AI implementation in critical care for prognosis. The above is what is written initially but you need to change it. So you have to talk about the medical ethical principles and ethical issues. Then you need to talk about trust and bias of AI in healthcare with patients. You can’t copy anything from above as it will be plagiarism. I just provided that to know what you need to talk about. Research Aims Provide evidence-based recommendations for the development and implementation of artificial intelligence for critical care prognosis on the basis of ethics and current technological capabilities.   1 Assess the current technological capabilities of AI for prognosis in critical care (need to expand on what is technological capabilities)  · This is crucial in order to identify what tasks AI is able to perform in healthcare, and to outline areas of development to be prioritised. Objectives 2 Understand the implementation of healthcare AI against the four pillars of medical ethics (name the 4 pillars)  · A thorough understanding of beneficence, non-maleficence, autonomy, and justice will inform the roles and responsibilities AI will have in the prognosis process, and assist in building patient trust.   3 Identify actions to foster patient confidence and trust of AI decision making in healthcare  (focus on trust or principles??) · This will assist in the development of principles to support the adoption of AI technologies by the public, and inform healthcare providers and government of patient needs You need to edit the objectives but keep the topics the same. You can see the sample where they did their objectives and write like that in detail. Findings (150 ethics) (150 trust/bias) In this section, you report the findings of your project. Depending on the nature of your project, you may choose to combine the Findings and Discussion sections of your Report · Present the results, data, evidence, etc., obtained through your chosen approach and methods/techniques. · You may present the findings using visual elements (e.g., images, text, figures, tables, illustrations, and diagrams; please note, these all contribute to word-count). · Any primary research instruments (e.g., interviews or survey questions) should be included in an appendix. Transcripts of interviews and raw data from surveys should be available on request. Refer to these as necessary in your Report. You need to mention the findings and include any images, figures, table or diagrams from articles looked at. 150 for the ethical issues with ai implementation (about the medical ethical principles and other ethical issues) 150 words for trust/bias (patient’s and clinicians views”) Discussion (100 words on ethics) (100 words on trust/bias) In this section, you integrate, interpret and evaluate the findings in reference to your aim(s) to develop a solution or set of recommendations based on your research. · Explain the relevance of your findings in the context of the problem statement · Develop a solution and/or set of recommendations based on your findings. · Critically evaluate your recommendations in relation to the context of the problem. · Analyse and discuss the feasibility of your solution/recommendations and develop a high-level implementation or execution plan (e.g., what are your suggested next steps for the Industry Partner?). · Identify and discuss any limitations of your research and project work  This is based on the findings where you need to talk about the relevance with the problem statement which is: Ethics and stakeholder needs should be considered when implementing artificial intelligence for critical care prognosis within the current technological capability context. You need to then recommend solutions based on the findings that can be used to make implementation of AI in healthcare better especially for prognosis. Its practically all the steps for the above^, maybe you can leave the last dot point.
Answered 2 days AfterOct 25, 2021

Answer To: Introduction and Project Aims In this section, you analyse the context and complexity of the...

Dr. Vidhya answered on Oct 27 2021
127 Votes
Running Head: HEALTHCARE                                1
HEALTHCARE                                        6
HEALTHCARE
THE AI RESEARCH PROJECT
Table of Contents
Introduction    3
Ethical Issues    3
Research Objectives    4
Findings    5
Discussion    6
Introduction
Technolo
gical evolutions have changed how all aspects of treatments in healthcare should be seen. Artificial intelligence is one of such factors, which have shifted the paradigms of care from human based operations to an advanced computed method. The race to perfecting the art of AI based interventions in healthcare is dominated by IBM at present that provides services across various departments of care such as cardiology and imaging.
However, across all dimensions of care, critical care is one of the crucial factors where the need of AI is needed and questioned at the same time. The prognosis, development of care plan and execution of AI intervention are still in primitive form. The AI interventions are no doubt helpful in prognosis and management in critical care. However, their role remains controversial upon many grounds such as medical ethics, clarity in the processing patient data as well as developing trust.
Ethical Issues
The healthcare norms are structured around sensitive ethical obligations. These are more like boundaries, which are set around the professional approach of the all experts involved in the process of treatment. When it comes to link critical care, prognosis and AI altogether, the four major pillars of ethical norms namely, beneficence, non-maleficence, autonomy and justice are at play. The prognosis should be guided by the basic principle of beneficence, in which nothing should be objectified as harmful to the patient.
While AI interventions in care are the outcomes of computed skills introduced through highly advanced equipment, the possibilities of failure are always there; there cannot be guarantees of foolproof working of AI equipment. Additionally, when it comes to autonomy and justice, possibilities of error reduce the degree of justice to be achieved in the course of prognosis.
A slight error in processing the data, for example, may lead to catastrophic things and factors, which could have been avoided, had...
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