Technology in healthcare setups can provide advanced tools and technological benefits to the healthcare community for improving patient care. For example, nowadays, by using EHRs or Electronic Health Records systems, healthcare providers can easily access the complete medical histories, information, and other necessary credentials of a patient, which can aid in making informed decisions (Cresswell et al., 2021). With the emergence of technology, online healthcare systems, and app-based medical treatment are helping care providers to identify the best-fit treatment approaches and medication needs of the patients, and on the other hand, patients can now access on-time treatment and medical support at home based on their health condition. VR or virtual Reality devices are now helping patients ease the symptoms of depression and anxiety among the older population and those who are suffering from mental illness. AR or augmented Reality also helps the surgeon to perform complex operational activities or surgeries without any error, and as a whole, technologies are now impacting healthcare setup by improving health, wellness, and quality of the services within the chosen setup (Sheikh et al., 2021).
This research proposal aims to critically analyse the impact of IT or Information Technologies on the healthcare system and service delivery process. To meet this aim, the case scenario of healthcare setup in the United Kingdom has to be taken into consideration
Considering the aim of this proposal, the objectives of the research will be:
The integration of IT or Information Technologies in the healthcare system of the UK can offer both opportunities, as well as challenges. The problem lies in assessing the comprehensive impact of Information Technologies on the healthcare system including its impact on the overall care and support of the patient, administrative procedures, data management system, and resource allocation process (Betton, 2022). Additionally, understanding the disparities in the adaptation of Information Technologies in different healthcare system and facilities are also important to comprehend for understanding the impact of IT on patient outcome and service delivery process. There are several researchers which are lacking information regarding the analysis of multifaceted influences and the negative impact of Information Technologies on the healthcare system.
Technologies can automate tasks, such as diagnosing the illness, and can suggest the best-fit treatment approach. IT or information technologies in healthcare aid to improve the quality of care process, and delivery of healthcare, increase patient safety, and decrease medical error. Therefore, the implementation of IT in healthcare can strengthen the engagement between care providers and service users (Krasuska et al., 2021). In future research, this subject matter can help readers to understand the effectiveness of implementing IT in the healthcare system and how effectively it can be leveraged to improve the overall quality of the service.
Information technology is transforming healthcare by improving diagnostics, data management, and service delivery. Understanding these advancements is crucial for academic success. Seek expert assistance from Affordable and High-Quality Assignment Help Online to ensure well-structured, top-grade assignments tailored to your research needs.
Technology integration in healthcare transforms patient care, operational efficiency, and medical research. It improves data management by enabling secure storage and quick access to patient records, enhancing diagnosis accuracy and treatment efficacy (Moats and McFall, 2019). Telemedicine enables remote consultations, hence increasing healthcare access in remote or underserved locations. Wearable gadgets and health applications allow for continuous monitoring, which promotes proactive healthcare actions (Benjamin and Potts, 2018). Furthermore, AI-powered analytics and machine learning improve decision-making processes, allowing for more personalised treatment strategies. The incorporation of technology in healthcare not only streamlines operations but also improves patient outcomes, making it a critical catalyst for the advancement of the healthcare system.
For this proposed research, a secondary qualitative research method has been selected. More specifically a systematic review of the existing literature has to be carried out to collect information to evaluate the impact of Information technologies in the healthcare system of the United Kingdom (England and Improvement, 2020). Considering the research aim and objective, database and keyword searches have been taken into consideration. To increase the reliability of the sources, inclusion and exclusion criteria have been carried out. By using secondary qualitative research, it will be easy to collect qualitative information about the implementation of technologies or IT (Information Technology) in healthcare setup in reference to the United Kingdom.
Inclusion Criteria:
Exclusion Criteria:
Database search: the databases that have been used to find the most relevant literature and journals in line with the research topic are:
For this proposed research, the Agile Project Management approach is beneficial to use. This methodology. Iterative progress is facilitated by agile methodology, which allows for continuous review and change of research approaches as new insights emerge. The step that will follow for managing the project by agile methodology is:
Timeline
Month | Activity |
09/01/2024 to 27/01/2024 | Planning and Research Project |
28/01/2024 to 15/02/2024 | Aims and objectives and literature review |
16/02/2024 to 17/03/2024 | Research Methodology and Data Collection |
18/03/2024 to 05/04/2024 | Finding and Analysis |
06/04/2024 to 20/04/2024 | Conclusion and Recommendation |
21/04/2024 to 28/04/2024 | Read and Review |
This study on the Impact of Information Technology (IT) on the Healthcare System anticipates collecting data from a variety of sources. Electronic health records, patient data, IT implementation statistics, and scientific articles are examples. Data management entails categorising and safeguarding sensitive patient information while assuring analysis compatibility (Li et al., 2023). To interpret patterns and outcomes, robust data analysis methods such as statistical modeling, machine learning, and qualitative analysis will be used. To maintain data integrity and accessibility, storage will use encrypted servers and cloud-based technologies. Anonymized datasets will be deposited in recognised repositories in accordance with ethical rules to disseminate findings. Furthermore, data preservation entails keeping backups and adhering to institutional and disciplinary norms to ensure long-term accessibility and reproducibility, protecting the integrity of this essential scientific endeavor.
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References
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