assignment
Overview You cannot copy anything word for word in the bold black as it’s a sample. 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 120 words. · What is AI · IBM and AI · Critical care and the importance for AI in it · Prognosis · Then say that even though critical care units will benefit from AI, the implementation is still a problem. Like it needs to specify that · What needs to address before AI is implemented Introduction 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. Ethical concerns intro 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. The above is a sample, but it needs to be written in accordance to the instructions above. 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 words for the ethical issues with ai implementation (about the medical ethical principles mainly and other ethical issues) 150 words for trust and bias (patient’s and clinicians views”) . So it needs to be articles that have looked at this in intensive care with AI. Can you separate them under separate subheadings, one for ethics and then one for trust and according to the word count. Also for each subheading one image or figure or diagram that is really relevant and talked about. 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. Also for this separate the subheadings: ethics and then trust. (100 words on ethics) (100 words on trust/bias)