Research and Evidence-Based Practice
Describe the difference between research and evidence-based practice.
In a research-based study, the methodical and scientific investigation of issues or topics is done to produce remedies, mitigation methods, or answers. Evidence-based practice (EBP), on the other hand, includes utilizing existing information to give the greatest results and insights to a given situation (Keib et al., 2017). In nursing, research aids in the discovery of evidence to solve nursing problems, as well as for educational and administrative objectives. EBP makes use of the study's findings to enhance current procedures. In nursing practice, the two techniques, EBP, and research are complementary.
The goal of the study is to provide new information or solutions that may be used to validate current ideas or expertise. Research, as a study, entails the scientific investigation of hypotheses or research topics. To get at outcomes, the whole procedure is linear and organized (Keib et al., 2017). Quantitative or qualitative scientific approaches are used in research studies. A good illustration of such research in the nursing study is one that used a qualitative approach and looked into the varied patient experiences whose illnesses were chronic diseases and were being nursed at home (Keib et al., 2017). Yet another study utilizes a quantitative approach to compare different experiences of nursing students prior to and after clinical practice.
Instead of applying research, EBP emphasizes the need to make use of the information at hand in making clinical decisions. The outcomes from various researches equip EBP with enough information and resources to make judgments concerning patient care (Keib et al., 2017). Clinical practice protocols and recommendations are developed using EBP to transform existing evidence or technical data into clinical practice protocols and guidelines for providing high-quality treatment. Most, if not all, nationally or globally accepted clinical practice recommendations are instances of EBP.
Describe the importance and application of health care information, data mining, and importance to application in patient care outcomes.
Data mining in the medical sector is critically important because it is utilized as a guide to influence decision-makers. Many healthcare organizations rely on the statistical analysis of data to assess their performance. Statistical analysis is used by basic human care providers and the government to determine the general population's overall well-being and health. After analyzing a patient's symptoms, pharmaceutical companies and hospitals must carefully comprehend the patient to determine the risks connected with the patient and allocate various effective treatment options based on the diagnosis (Cen, Fos, & Jiang, 2020).
The battle to produce efficient, high-quality goods and services is a daily problem for most healthcare organizations. When assessing their achievements and failures in general performance, these businesses use statistics. Managers who are involved in benchmarking to identify good future output can concentrate on improving the quality of services provided (Campbell, 2020). The charting of viability and general growth is based on trustworthy statistical data, which reduces the dangers connected with the original and final medication advances in health care firms and trade-related organizations. Data obtained can be used in a variety of ways, including clinical studies.
In this scenario, healthcare data is valuable for finding successful treatment strategies and gaining a better knowledge of the general public's health. To make an influence in their research investigations, health care practitioners must carefully analyze health care data by using effective treatment plans with effective experimental evidence (Voigt-Barbarowicz & Brütt, 2020). Statistical data is also used by medical professionals to evaluate the success of interventions and treatment programs. The information supplied in health care is extremely important in deciding the overall safety of society.
As a consequence of technology developments, every sector has changed, making management procedures more efficient and seamless, and serving more people across the world. It's no different in the healthcare business. Technological developments have benefitted the area of healthcare informatics, which combines healthcare data, information technology, and business. The Health Information System (HIS) is a technological wonder for the healthcare industry, providing for effective patient data management. The treatment process is structured and coordinated, which is one of the benefits of healthcare information. The Health Information System (HIS) is a system that is based on technology and makes it possible for sharing of protected data on health among organizations in the health sector as well as their service providers. This method provides a platform for patients to access treatment easily and simply from the healthcare providers. This system is especially useful to those patients who have illnesses that require specialty care that cuts across various disciplines as it easily offers coordination and huge management of medical data. Overall, the quality of treatment and the outcomes of patients is greatly enhanced.
It also improves patient safety by allowing quick access to patient data. With the aid of Health Information Systems, you may store all of the information and put it in different databases, allowing you to make the safety of patients paramount. You can also get notifications when a patient has his health deteriorating or is compromised. For instance, program security can provide a trigger to healthcare professionals about the potentially negative consequences that patients may face whenever they swallow medicine without a prescription from a healthcare professional. You will prove your knowledge and so avoid making critical errors caused by an inadequate understanding of medical issues when making decisions. Medical billing is another essential element of data mining.
With the medical billing function, patients' billing, insurance data, patient tracking, and payment procedures can all be managed smoothly (Shekarian, Ramirez, & Khuntia 2020). You can even be notified if there is a payment delay or other problems so you can take necessary action. Furthermore, the medical billing claim scrubbing tool assists in the discovery of any type of medical error before it slows down your management process. Researchers in the medical profession may utilize the data gathered to identify a variety of things, including the most suitable treatments and which medicines are most effective, as well as how the human body responds to therapy in day-to-day operations. Advanced medical research has aided in the implementation of beneficial changes in health care. The focus of research has been on the most suitable therapies and which medicines perform best, as well as the human body's reaction after receiving them.
The quality of treatment provided to patients has improved. Health information systems gather and preserve patient data such as diagnosis reports, medical histories, allergic reactions, vaccinations, treatment information plans, test results, and so on. This gives a comprehensive and well-organized framework for healthcare providers to better interact with their patients and administer therapy.
Discuss how data mining and interpretation influences case management and utilization
Looking for data, manipulation, presentation, and interpretation uncover fresh information that may be applied to specific circumstances. By leveraging the new information obtained via the data mining process, the health practitioner will be able to apply evidence-based practice in an attempt to deliver better health care. The act of examining huge data sets for patterns and then utilizing those patterns to forecast the chance of a similar occurrence occurring in the future is known as data mining. According to Ayyoubzadeh et al (2020), physicians and other policymakers will be able to plan and allocate resources in the future to ensure a high success rate in managing such cases.
Describe participation in managed care and the importance of quality care initiatives and performance indicators
When participants who are patients and are under an arrangement where they are being managed participate, they may examine and evaluate the health care delivered. When doctors and patients join managed care, they are rewarded for choosing less expensive treatments. It also allows for the monitoring of all medical facilities required for better treatment, inpatient admissions and the stay limits, and case management. Quality care initiatives aim to improve the outcome of any health-care treatment while also improving the patient's experience, resulting in higher customer satisfaction (McManus et al, 2015).
Performance indicators will demonstrate how effective and efficient the efforts are in achieving the fundamental aim of providing high-quality, patient-centered health care. Instructions are provided in a step-by-step format. The Agency for Healthcare Research and Quality (AHRQ) funds critical studies that aim to improve decision-making in clinical matters, ensuring the safety of patients, reducing errors in medical situations, and aiming at high-quality health care that is accessible and affordable. The Agency for Healthcare and Research is also essential in ensuring that the study is carried out as efficiently as possible while protecting the confidentiality of the data gathered. The Agency for Healthcare and Research also has a mandate of ensuring that the study should be carried out as effectively and efficiently as possible, as well as ensuring that the research's findings are disseminated promptly to all parties involved to enhance primary care.
References
Ayyoubzadeh, S. M., Ghazisaeedi, M., Kalhori, S. R. N., Hassaniazad, M., Baniasadi, T., Maghooli, K., & Kahnouji, K. (2020). A study of factors related to patients’ length of stay using data mining techniques in a general hospital in southern Iran. Health information science and systems, 8(1), 1-11.
Cen, X., Fos, V., & Jiang, W. (2021). A race to lead: How Chinese government interventions shape the sino-us production competition. Available at SSRN 3564494.
Keib, C. N., Cailor, S. M., Kiersma, M. E., & Chen, A. M. (2017). Changes in nursing students' perceptions of research and evidence-based practice after completing a research course. Nurse Education Today, 54, 37-43.
Levelink, M., Voigt‐Barbarowicz, M., & Brütt, A. L. (2020). Priorities of patients, caregivers and health‐care professionals for health research–A systematic review. Health expectations: an international journal of public participation in health care and health policy, 23(5), 992.
McManus, M., White, P., Pirtle, R., Hancock, C., Ablan, M., & Corona-Parra, R. (2015). Incorporating the six core elements of health care transition into a Medicaid managed care plan: lessons learned from a pilot project. Journal of pediatric nursing, 30(5), 700-713.
Shekarian, N., Ramirez, R., & Khuntia, J. (2020). The Impact of Data Analytics on Hospital Performance.
