Data Analysis in AI and Healthcare Assignment Sample

Introduction: AI and Healthcare Sector Insights

Artificial intelligence is helpful in the approximation of human intelligence. Humans display natural intelligence for learning. The main goal of AI is computer-enhanced learning. In this topic, we will discuss what AI is and the features of AI. Currently, AI is the second one in the NHS backlog data analysis. The third one is about the international migration observatory. In this, it will be mentioned why migration is a serious issue worldwide. The last one is about The Guardian, a media firm. Here, I will mention how this media firm has been established and grown.

Discussion

2.1 The Pros and Cons of Artificial Intelligence

The information provides the double idea of artificial intelligence, introducing debates on its effect on work and moral assumptions. While specific simulated intelligence applications like picture handling in vehicles improve security without replacing positions, others, similar to robots in assembling, replace human work. The account inclines toward the positive, underscoring artificial intelligence's capability to wipe out ordinary assignments, permitting people to take part in more imaginative and satisfying work. (Nikolenko, 2022)However, moral issues emerge because of artificial intelligence's legitimate navigation, lack of ability to be suitable and profound comprehension, as represented by the difficult situation of an independent vehicle's dynamic in a likely mishap. The record slants toward the positive, highlighting man-made brainpower's ability to clear out normal tasks, allowing individuals to partake in more creative and fulfilling work.

Figure 1: Percentage of patients seen within target timescales following GP referral for cancer care

2.2 Features of AI

The main feature of artificial intelligence is work impact. The information that it is providing recognises computer-based intelligence applications that upgrade well-being without work removal, like picture handling in vehicles and those that supplant human work as artificial intelligence-controlled robots in assembling. The second main feature of AI is moral concern. (Baidoo-Anu, Ansah, 2023), The moral aspect is investigated, featuring artificial intelligence's legitimate dynamic cycle and it has a true capacity for bias in situations requiring subtle moral judgment. The moral aspect is studied, focusing on artificial intelligence's legitimate dynamic cycle and its true capacity for bias in situations that call for delicate moral judgment.

2.3 Key Features from Reliable Sources

As per a concentrate by Brynjolfsson and McAfee, simulated intelligence and computerization, advancements might dislodge specific positions while setting out new open doors for imaginative and inventive undertakings.(Behnood, Golafshani, 2022) This lines up with the information's accentuation on artificial intelligence supplanting hazardous and monotonous work to let loose people for additional inventive undertakings. The moral difficulties of artificial intelligence direction are perceived in scholastic conversations. Floridi contends that integrating moral contemplations into simulated intelligence calculations is trying because of the trouble characterizing widespread moral standards, supporting the information's anxiety about the potential predisposition in simulated intelligence navigation.

Figure 2: Patients are waiting longer for emergency admissions

The data from NHS England's monthly releases highlights a substantial and growing backlog in secondary care services, exacerbated by the impact of COVID-19. The backlog includes patients awaiting treatment, those who haven't sought referrals due to pandemic-related concerns, and those facing cancellations or delays. As of September 2023, the waiting list has reached a record high of 7.77 million, with nearly 3.29 million waiting over 18 weeks and around 391,000 waiting over a year. The median waiting time has increased to 14.7 weeks, almost double the pre-COVID level. Patients who need treatment, those who haven't asked for referrals because of concerns about the pandemic, and those who are facing cancellations or delays are all included in the backlog.

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Figure 3: Monthly number of GP referrals to NHS consultant-led outpatient services using the NHS e-Referral Service (e-RS)

Cancer care targets are consistently missed, with a 74.0% performance in seeing patients within two weeks of an urgent referral. (Holmes, Jefferies, 2021). The decline in key cancer care indicators indicates significant pressure on the system, necessitating increased capacity. A&E services continue to face challenges, with 70% of patients seen within four hours in October 2023, a slight decrease from the previous month. Waiting times for emergency care have surged, with a 35% increase in patients waiting over 12 hours since September 2023. GPs struggle with referrals, evident in a significant rise in unsuccessful referrals due to lack of slots, jumping from 238,859 in February 2020 to 401,115 in November 2021, an increase of almost 87%. (Macdonald et al,. 2020) The private sector's role in alleviating pressures involves unprecedented block-booking arrangements, but the survey suggests that 60% of private practice doctors were unable to provide care to their patients under these arrangements. The extent to which private hospitals can address NHS waiting lists remains uncertain, and the reliance on the same pool of doctors poses challenges. The degree to which private emergency clinics can address NHS holding up records stays dubious, and the dependence on a similar pool of specialists presents difficulties

2.4 Important Features

Record-High Waiting Lists

The waiting list has reached an unprecedented 7.77 million, indicating a significant strain on secondary care services. Cancer care targets are consistently missed, with a 74.0% performance in seeing patients within two weeks of an urgent referral, highlighting the need for urgent attention and increased capacity.

Capacity Strain and Impact on Waiting Times: The surge in waiting lists and waiting times reflects the strain on the NHS's capacity, exacerbated by the lingering effects of the pandemic. Academic sources, such as reports from NHS England and relevant healthcare journals, can provide in-depth insights into the challenges posed by increased demand and reduced capacity.

Cancer Care Standards: Academic sources, including studies on cancer care, can explain the significance of the missed targets and the potential consequences on patient outcomes. Research articles and reports from reputable health organizations can support this analysis

2.5 The migration observatory informs debates on international migration and public policy

Introduction

As of December 2022, around 37% of the transient populace in the UK, adding up to 2.4 million individuals, are EU nationals. Most EU transients are not from the actual UK, with special cases in the East of Britain. EU nationals comprise around 8% of the UK's jobs, however, this rate has diminished starting around 2019.

The all-out number of EU nationals in payrolled work in the UK is practically 2.5 million, with the biggest gatherings coming from EU-14 nations (1 million), trailed by EU-8 (900,000) and EU-2 (505,000) nations. Before 2022, EU nationals were the greater part among unfamiliar representatives, yet their number has been outperformed by non-EU travellers in the work market as of December 2022. (Pedroza, 2020) EU transients work across different areas, with critical work in authoritative and support administrations, retail, friendliness, and assembling. EU homeless people work across various regions, with basic work in definitive and support organizations, retail, benevolence, and gathering.

Figure 4: Estimated long-term immigration

Significances

Reducing in EU Occupations Starting around 2019: The information not a huge decrease in the quantity of EU jobs in the UK starting around 2019, with a top at 2.66 million in November 2019 and a resulting decline of over 7% by December 2022. This decline is especially articulated among EU-8 nationals.

Change in Greater Part of Unfamiliar Workers

The dataset features a change in the piece of unfamiliar representatives in the UK work market. While EU nationals were the larger part before 2022, they have now been outperformed by non-EU travellers

Classification of resources

• As per the Movement Observatory, the decrease in EU business lines up with more extensive patterns seen during the pandemic, affecting different areas and traveller gatherings.
• The Workplace for Public Measurements gives experiences into the changing structure of the work market, crediting the decrease in EU businesses to the financial disturbances brought about by the pandemic.

Explanation

The impact of outside factors like the pandemic, continuous confirmation and updates would upgrade its dependability. (Ruhs, et al, 2019) Using numerous sources, like scholarly examinations and official measurements, adds to a more hearty comprehension of the patterns.

The information highlights the powerful idea of EU relocation and business designs in the UK, affected by financial circumstances and outer occasions like the pandemic. Its dependability would be improved by the impact of external factors like the pandemic, continuous confirmation, and updates. A deeper comprehension of the patterns is enhanced by utilizing a variety of sources, such as academic studies and official measurements.

2.6 The Guardian

It is a daily newspaper published in London. This was started in 1821 in Manchester. It is a leading newspaper in the United Kingdom. It is a prominent British newspaper, which was founded as The Manchester Guardian. Throughout the long term, it has established itself as a respected source of news and analysis, known for its progressive and liberal editorial stance. The Guardian covers a wide range of topics, including politics, world news, culture, science, and technology. It has correspondents stationed all over the planet, providing comprehensive international coverage.(Asakitikpi, Gadzikwa, 2015) The newspaper has a computerized first methodology, adjusting to the changing media scene by vigorously putting resources into its online presence.

One of The Guardian's unmistakable highlights is its obligation to open reporting. It energizes peruser cooperation and values straightforwardness. The paper is known for its analytical reporting, frequently uncovering and exposing issues of public interest. Notable investigations include the Edward Snowden leaks, which revealed extensive global surveillance programs, and the Panama Papers, exposing the offshore financial dealings of numerous public figures. In addition to its news coverage, The Guardian has a strong focus on opinion pieces and commentary. It provides a platform for diverse voices, fostering discussions on key societal issues. The newspaper's editorial tone is frequently characterized by a liberal perspective, upholding civil rights, natural manageability, and common liberties (Haider, 2017). The Guardian has confronted financial provokes normal to the newspaper business, leading to advancements in its plan of action. It was one of the principal significant news associations to take on a computerized membership model, trying to create income from online readership while keeping up with free admittance to some satisfied. This progress mirrors the more extensive change in the media scene towards advanced platforms. The newspaper's obligation to ecological maintainability is obvious in its editorial stance as well as in its activities. The Guardian reported plans to accomplish net-zero carbon mission products by 2030 and stripped from petroleum products, adjusting its business rehearses with its editorial worth. The Guardian remains a stronghold of valuable news coverage with a global reach. Its devotion to open news coverage, analytical detailing, and progressive editorial qualities has cemented its position. The Guardian places a strong emphasis on commentary and opinion pieces. It fosters discussions on significant societal issues by providing a platform for diverse viewpoints.

Conclusion

Topics that have been mentioned above. There have been mentioned definitions, objectives, factors and key elements of all topics. It is also discussed that the account inclines toward the positive, underscoring artificial intelligence's capability to wipe out ordinary assignments, permitting people to take part in more imaginative and satisfying work. Also, it is discussed briefly how the decline in key cancer care indicators indicates significant pressure on the system, necessitating increased capacity. A&E services continue to face challenges, with 70% of patients seen within four hours in October 2023, a slight decrease from the previous month. The account also focuses on the positive, emphasizing that artificial intelligence can eliminate routine tasks and allow people to participate in work that is more creative and satisfying.

References

Journals

• Asakitikpi, A.O. and Gadzikwa, J., 2015. An Analysis of The Herald and The Guardian Online Newspapers. Global Media Journal: African Edition, 9(2).
• Baidoo-Anu, D. and Ansah, L.O., 2023. Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), pp.52-62.
• Behnood, A. and Golafshani, E.M., 2022. Artificial intelligence to model the performance of concrete mixtures and elements: A review. Archives of Computational Methods in Engineering, 29(4), pp.1941-1964.
• Haider, A.S., 2017. Frequency Analysis as a way of uncovering news foci: Evidence from the Guardian and the New York Times. International Journal of English Linguistics, 7(2), pp.1-20.
• Holmes, J. and Jefferies, D., 2021. Health inequalities and the elective backlog-understanding the problem and how to resolve it. BMJ: British Medical Journal (Online), 375.
• Macdonald, N., Clements, C., Sobti, A., Rossiter, D., Unnithan, A. and Bosanquet, N., 2020. The building backlog of NHS elective cases post Covid-19. Journal of British Surgery, 107(10), pp.e377-e378.
• Nikolenko, K., 2022. Artificial Intelligence and Society: Pros and Cons of the Present, Future Prospects. Futurity Philosophy, 1(2), pp.54-67.
• Pedroza, L., 2020. A comprehensive framework for studying migration policies (and a call to observe them beyond immigration to the west). German Institute of Global and Area Studies (GIGA).
• Ruhs, M., Tamas, K. and Palme, J., 2019. Bridging the gaps: Linking research to public debates and policy making on migration and integration (p. 288). Oxford University Press.