Big Data, Continuity Planning & Informatics
Write an essay addressing each of the following questions. There should be three sections, 500 words per section, and a short introduction. Separate each section in your paper with a clear heading. Support your ideas with at least three citations in your essay. 1)Identify one aspect of big data and data mining that is interesting to you. Explain the concept and how it might bring value to healthcare. 2)Describe the concept of continuity planning. If you were the director or manager for your hospital, describe the preparedness program you would recommend. 3)Locate an article discussing the use of informatics in healthcare education of the general public or of nursing students. Discuss the benefits and drawbacks to using technology in this situation and recommendations from the author. Do you feel this use of technology is a viable method of educating (the public or nursing students)? Why or why not?Big Data, Continuity Planning & Informatics
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Overview
Technology innovations and advancement has greatly impacted different sectors. Healthcare has been one of the greatly impacted fields. With vast available data, tools and models are well required to convert the big data into useful information. This has equally changed the way data is collected shared, and analyzed toward making informed decisions aligned with improving patient care. Continuity planning remains an inevitable aspect of ensuring healthcare systems and organizations survive cases of emergency and disasters. Finally, technology-driven education for both public and nurses has helped unify the learning process, as well as improve access and quality of nursing education. This essay discusses big data and data mining, continuity planning as well as health informatics regarding nursing education.
Aspects of Big Data and Data Mining That are Interesting
Leveraging technology in the best and useful way can make or break the future of healthcare set up i.e., organizations and systems. According to Fabbri (2019), one of how healthcare is advancing inefficiency, affordable as well as able to save more lives, is through the utilization of the big data tools. While the terms big data and data mining may be used together, they refer to different cases. Big data refers to the availability of a huge volume of data which can either be structured semi-structured and unstructured. On the other hand, data mining is the act of extracting useful details from a large volume of data such as big data. Due to advancements in technology, there has been a large volume of data collected in healthcare, which has in turn made the analysis faster and more accurate hence being an advantage to the healthcare sector.
One of the many aspects of big data and data mining is the volume. With the continued advancement in technology coupled with overall evolution and advancement in different aspects affecting organizations and individual lives, there has been an increasing volume of data available and being exchanged from one person to another. The inception of big data and data mining into the field of healthcare has provided unavoidable breakthroughs not only in terms of data management but ensuring the vast volume of data is utilized in making informed decisions. Volume refers to the huge and unimaginable amount of information that is generated every hour, day, months, and all through years from different sources. The volume of data generated has equally increased in the current digital era, which entails, personal details, pictures, video among many other forms. Such huge volumes of data can in turn be handled by defined technologies, which in turn are comprised of data mining and big data platforms.Big Data, Continuity Planning & Informatics
Regarding the healthcare sector, there is a huge volume of data that is in flow. In order to draw from the data, make sense and informed decisions, big data and data mining technologies have been an unavoidable reality in the healthcare sector. Traditional healthcare data sets are cumbersome as well as costly; the adoption of big data technologies has, in turn, helped in alleviating the problem of cumbersomeness through the adoption of simpler and user-friendly tools and systems. The use case of the large volumes of data in healthcare through data mining and big data facets is limitless and helps in building an integrated system. In healthcare, big data has led to the evolution of services from uniform care to individualized care an aspect which has led to improved value of the services through improvement of care quality (Fabbri, 2019).
Whether ‘big data’ and ‘data mining’ are two halves of one process or rather two similar ways into data volume management, both works to provide healthcare systems and organizations concrete and meaningful foundation for informed decision making and quality patient management models. As the healthcare sector evolves today into value-based care, organizations must ensure the vast volume of data through big data and mining is utilized to improve the overall healthcare business and service delivery process (Fabbri, 2019). While challenges are inevitable, organizations that successfully leverage big data and data mining to improve quality, outcome, and cost will gain an edge of others more so in the modern highly competitive healthcare sector defined by a focus on low margins for error.
Continuity Planning (Preparedness Program)
Maintaining continuity has in recent years become a vital aspect for every business organization. However, no sector or industry faces the same level of urgency as the healthcare sector. The healthcare sector is not immune to disaster planning efforts, as it is common for facilities to have plans for any kind of disasters such as data loss, natural calamities, terrorism, etc. the downtime during disasters in the healthcare sector not only affects the business side of the facility but also patient care and care delivery, patient security, regulatory liabilities when organizations fail to comply with laws among many other loses caused by the disruption. According to Iyer & Bandyopadhyay (2000), the importance of healthcare Business Continuity Planning (BCP) can hardly be overlooked. Every healthcare facility regardless of its size and location ought to develop a comprehensive plan not only for disaster prevention but also for recovery.Big Data, Continuity Planning & Informatics
The BCP is an integral plan to have for every healthcare organization not only to comply with rules and regulations, but also to ensure patients and employees are protected, best patient care is delivered, and financial losses are limited as well as help in preserving an organizations reputation (Iyer & Bandyopadhyay, 2000). The continuity planning helps an organization with a seamless recovery plan with minimized financial and medical repercussions hence limiting downtime and maximizing efficiency. The continuity planning may vary in complexity and players, but the primary objective within a healthcare setup is to ensure minimal loss and as quick as possible restoration to ensure the patients’ well-being as it may pose a matter of life and death.
Working as a director or healthcare organization facility manager, the preparedness program that would be focused and adopted into continuity planning is the ‘Resilience One’. With different tools, personnel, and systems at stake, the model will be based on the role and duties of every person working in the facility. Some of the major components of the model entail the employees, office spaces, and equipment’s, technology which comprises of hardware’s, software and data, records (both hard and soft copy), production facilities, utilities such as power, gas, water, sewer and finally the third parties. With model or software (Resilience One), designed with functionalities exceeding the needs of healthcare, the model also comprises impact analysis which enables the organization to develop strong preventive measures for possible disasters. Additionally, the model possesses a crisis management action plan, IT defined recovery which ensures the technology-related impact of the disaster is well catered and addressed.
With the effectiveness of the model well defined by its ability to detect disasters well before they happen and mitigate prevention measures, the recommendation for the ‘Resilience One’ model goes beyond preparedness but also effective collaboration and layout of mitigating emergencies. The model defines each player’s role whenever disaster strikes, with well-defined coordination with internal emergency units and the external assisting and response units (Iyer & Bandyopadhyay, 2000). In summary, continuity planning is an inevitable aspect for every business organization globally, with healthcare facilities dealing with peoples’ lives, the continuity model success and effectiveness becomes integral in determining the success in mitigating disaster.Big Data, Continuity Planning & Informatics
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Use of Informatics in Healthcare Education for the Nursing Students
Health information system well known as health informatics utilizes information technology is the acquisition, storage, retrieval as well as use of healthcare-related information towards fostering improved or positive collaboration among patients and care providers. Healthcare informatics has been an undeniable force behind various healthcare reforms more so regarding the use of technology and education delivery among the nurses and the general public. Authored in 2015, the article by Kleib and Olson addressed the use of healthcare informatics towards enhancing competence among nursing students.
Speedy inventions in technology have been a major cornerstone of the development and the way nursing education is delivered. More so, advancement in the information technology field has equally paved the way for easy and fast access to correct information by the public and nursing students (Kleib & Olson, 2015). It has also changed the way information is generated, processed, and conveyed, on one side making it easy. According to Kleib & Olson (2015), nursing informatics is an ever-growing field. As nursing students’ faces ever-challenging and changing situations, competency in their practice remains an integral aspect. More so, the utilization of technology strengthens their confidence and decision-making skills.
In the current digital era, the use of technology has become an integral and viable method of educating nursing students. Not only does the technology make it easier to generate virtual reality scenarios for the students to adapt to real-life experiences at hospitals, but also enables the students to access unified education hence improving the access and quality control, of the nursing education. Additionally, the use of technology enables the students to have easy access to information whenever need be. This in turn reduces the margin of errors when engaging in practices and attending to patients. Technology additionally improves the quality of educational materials as well as increases the aspect of productivity. This is whereby information or learning materials can be shared with different people and different times without losing meaning. This in turn ensures the quality of education offered.Big Data, Continuity Planning & Informatics
However, even though new technology may pose a challenge to nursing students, informatics will overall enhance nursing practice. This is due to the idea that students will have quicker access to patient information, hence improving their overall efficiency, and in turn, witness a reduction in potential errors. With increasing advocacy for individualized care, the use of technology enables her nursing students to develop ease in the use of available patient information, hence offering the best-suited care and overly improving the quality of the care given. Finally, with the massive adoption of technology in healthcare, nursing students need to familiarize themselves with the technology in a healthcare facility so they can be bale interpret obtained data to the best of their professionalism.
References
Fabbri, D. (2019). Health care vendor data management in the era of big data and machine learning. Journal of Health Care Compliance, 21(2), 19-24.
Iyer, R. K., & Bandyopadhyay, K. (2000). Managing technology risks in the healthcare sector: Disaster recovery and business continuity planning. Disaster Prevention and Management, 9(4), 257-270.
Kleib, M., & Olson, K. (2015). Evaluation of an informatics educational intervention to enhance informatics competence among baccalaureate nursing students. Knowledge Management & E-Learning, 7(3), 395. Big Data, Continuity Planning & Informatics