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Information System Application for Decision Making: Cloud Computing in Healthcare

Information System Application for Decision Making: Cloud Computing in Healthcare: Identify the process for decision making regarding technology. Discuss nursing role in identifying appropriate technology for practice…

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Information System Application for Decision Making: Cloud Computing in Healthcare

Paper details

Identify the process for decision making regarding technology. Discuss nursing role in identifying appropriate technology for practice.

Your paper should include the following:

  • One technology application used in health care to facilitate decision making.
  • The application’s impact on quality of decision making.  
  • The process for selecting and implementing the application. 
  • The costs associated with the application.
  • Nurses’ role(s) in selecting and evaluating the application.                                                                                                                                                         

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Solution

Information System Application for Decision Making: Cloud Computing in Healthcare

Cloud computing has significantly changed how healthcare data is consumed, stored, and shared. Integrated with all hospital data, up to 35% of healthcare organizations have more than 50% of their data on the cloud (Kim, Yu, Lee, & Park, 2020). The integrations have enabled providers to efficiently manage patient data, optimize processes in healthcare, lower costs, and, most importantly, enable individualized decision-making.

Based on historical data, interoperability, the ability to make analytics, track progress, practitioners can personalize care plans and engage in more effective interprofessional collaboration to improve outcomes. The use of cloud computing in clinical settings facilitates better care delivery, sharing of information, and, subsequently, better decision-making.

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Application’s impact on the quality of decision-making

Interoperability is one of the most critical applications of cloud computing in the health care continuum. Interoperability ensures all date in linked in a healthcare system, regardless of the source. In this, cloud computing ensures that patient data is readily available for use, distribution, and analysis by the approved practitioners to facilitate quick yet informed decision making, planning, and care delivery (Ahmadi, & Aslani, 2018).

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While access is guided by protocol and guidelines, the ease of access and mobility has proved critical in improving collaboration among providers. Furthermore, the synchronized and real-time data facilitates more accurate assessments leading to better care plans as well as diagnosis. This leads to reduced instances of medical errors in drug administration, misdiagnosis, and eliminates poor coordination between providers.

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Besides, unlike other technological applications, speed is one of the beneficial aspects of cloud computing that has substantially improved the quality of decision-making. Cloud-based tools of storage and sharing data can upgrade and improve faster and with minimal service interruptions (Klonoff, 2013). 

Moreover, the cloud allows for the large storage of patient records and images, which can be, retrieved easily making it a reliable tool for analysis. The reliability, coupled with faster access to the data, makes it easier to share information that could help in decision-making. 

This could also improve operational efficiencies with departments such as the ED benefiting from the ease of access to the patients’ data immediately, thereby reducing wait times. 

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Besides, cloud-computing gives the patient control over their data, thereby enable more inclusive decision-making. The participation of patients in the decision-making process facilitated more effective patient education and engagement, leading to well-informed inputs by the patients. 

With the advancement of technology, cloud computing is enabling telemedicine, which has shown to reduce hospital readmissions, improve patient adherence, and optimize healthcare costs. 

Through data collected and stored in the cloud, better decisions are made for post-hospitalization care plans as well as tracking of medication adherence. The systems enable physicians to access the patients more effectively and implement measures aimed at improving patient outcomes (Klonoff, 2013). 

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Process for selecting and implementing the application.

Selecting the best cloud computing integrations and tools is critical as it defines the usability and applicability of the tool. Initial feasibility assessments should focus on the core processes in the settings such as diagnosis, and prescribing and identifying the areas that could use cloud systems (Kim, Yu, Lee, & Park, 2020).

With the ability to consume, store, and share data being key, determine the bottlenecks affiliated with limited access to data or the reduced ability to share information. The outcomes of the assessments should provide a clear picture of the areas to focus on, the practitioners affected, and the gap to address. The data is used to define functional and systematic requirements for the cloud tools, define the access protocols and security measures to be applied, establish compliance, all in conjunction with healthcare personnel who will be the users.

After determining what is needed, the implementation of the cloud services will begin by defining what processes will be shifted to the cloud. Nurses’ role in this process as they can pinpoint the areas to best use the data such as patient education while also underlining the challenges they may encounter (Kim, Yu, Lee, & Park, 2020). A platform will then be selected for the application, which eases of use and flexibility being among the critical considerations.

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The organization also has to decide the model to use. A private cloud is best for single organization use and minimizes security risks. Besides, the organization also has to create and review policies and procedures on cloud use. This includes security awareness creation and fostering a culture of responsibility and compliance to set requirements. This ensures the users, which includes nurses, are up to date with security measures that ensure the integrity, availability, and accessibility of patient data is protected.

Before pilot adoption, a cloud readiness assessment should be conducted to determine the systems and processes that will be affected and those that will gain most from migration. Secondly, a security assessment should be conducted to ensure that users could securely manage Patient Health Information (PHI) for millions of patients (Sadoughi, & Erfannia, 2017). Pilot implementation is then done, followed by full implementation.

Costs

In 2018-2019, healthcare organizations invested $13.6 billion in cloud technologies (Ahmadi, & Aslani, 2018). The costs associated with the application include the software and hardware costs on acquisition. The initial capital costs are high due to installation and transitioning guidance.

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Further, cloud adoption needs the training of users on how to use the tools in their activities. However, over time the reliability, agility, and speed and lower costs of maintenance substantiate to costs reductions, increased productivity, improved data transfer as well as security improvements (Ahmadi, & Aslani, 2018).

Nurses’ role(s) in selecting and evaluating the application.

Nurses understand care processes and procedures as well as the intricacies of the clinical setting. Hence it is imperative to engage nurses in the selection and evaluation of the areas to apply cloud computing and the tools to use. The nurses can be able to identify the areas that will benefit most from the cloud service and guide on the development of a framework that strategically addresses the gap (Kuo, 2011).

Essentially, nurses are critical in the development of a cloud strategy, which defines the processes to be affected by the adoption. As primary users, the nurses can contribute to the development of system requirements that ensure the quality and safety of care provided is improved.

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Besides, their interactions with patients and presence in most decision-making platforms, nurses understand the needs of patients better and could use the understanding to inform on the use of the application to address the needs of the patients. Besides, the experience of nurses in the workflow is essential in defining the scope and reach of solutions. This necessitates continuous involvement, from the selection and evaluation stages to the design and implementation phases.

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Conclusion

Cloud computing is leading a massive shift in the healthcare industry. The agility, flexibility, ease of use, reliability, and lower costs of maintenance are among the critical strengths of the application. By facilitating better consumption, storage, and sharing of healthcare data, including Patient Health Information (PHI), the application optimizes decision-making.

The involvement of nurses in selecting the appropriate tools and determining the scope of application is critical. The experiences of nurses in clinical settings and workflows can help build more integrated and well-designed cloud applications for healthcare providers.

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References

  • Ahmadi, M., & Aslani, N. (2018). Capabilities and Advantages of Cloud Computing in the Implementation of Electronic Health Records. Acta Informatics medica: AIM: journal of the Society for Medical Informatics of Bosnia & Herzegovina: canopies Frusta zap medicinsku informatiku BiH, 26(1), 24–28. https://doi.org/10.5455/aim.2018.26.24-28
  • Kim M, Yu S, Lee J, & Park Y (2020). Design of Secure Protocol for Cloud-Assisted Electronic Health Record System Using Blockchain. Sensors (Basel). 2020; 20(10):E2913. Published 2020 May 21. doi:10.3390/s20102913
  • Klonoff D. C. (2013). Twelve modern digital technologies that are transforming decision making for diabetes and all areas of health care. Journal of diabetes science and technology, 7(2), 291–295. https://doi.org/10.1177/193229681300700201
  • Kuo A. M. (2011). Opportunities and challenges of cloud computing to improve health care services. Journal of medical Internet research, 13(3), e67. https://doi.org/10.2196/jmir.1867
  • Sadoughi, F. & Erfannia, L. (2017). Health Information System in a Cloud Computing Context. Stud Health Technol Inform. 2017;236:290‐297.

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