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Qualitative versus quantitative research
Qualitative versus quantitative research
Qualitative versus quantitative research
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In the health care industry, gathering information in order to find the best diagnosis route or even determine patient satisfaction is necessary. This is complete by conducting a survey and collecting data. When the information is complete, we then have statistical information used to make administrative decision within the healthcare field. The collection of meaningful statistics is an important function of any hospital or clinic.
“Quantitative research guides health care decision makers with statistics--numerical data collected from measurements or observation that describe the characteristics of specific population samples. Descriptive statistics summarize the utility, efficacy and costs of medical goods and services. Increasingly, health care organizations employ statistical analysis to measure their performance outcomes. Hospitals and other large provider service organizations implement data-driven, continuous quality improvement programs to maximize efficiency.” (Castro, 2012). Examples of quantitative research include; (Scerbo,2013)
• Starts with a hypothesis, concept or theory, deductive strategy.
• Often uses random sampling to select a large statistically representative sample from which generalizations can be drawn.
• Uses experimental designs and formal measurement instruments to collect data.
• Uses statistical methods to analyze data once all data collected
• Represents findings with numbers and generalizes those findings from the sample to defined populations
Researchers work hard to eliminate bias from outcomes through approaches that diminish subjectivity and modification from unknown sources. Randomization, use of well-matched controls, and blinding of analysts and researchers are some ways to try to a...
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... understand where and how each statistic is coming from. Health records are the primary source of data used in compiling health care statistics. The health record staff, therefore, may be responsible for .When a person gains this knowledge this allows for an Administrator are fully be able to make the proper changes in the healthcare organization that will end with the best effective and successful solution.
Reference
Castor, R. (2012). Retrieved from http://www.livestrong.com/article/186334-why-are-statistics-important-in-the-health-care-field/
Serb, M. (2013). Retrieved from http://ssih.org/quantitative-vs.-qualitative-research
Thrasher, E. H., & Revels, M. A. (2012). The Role of Information Technology as a Complementary Resource in Healthcare Integrated Delivery Systems. Hospital Topics, 90(2), 23-32. doi:10.1080/00185868.2012.679908
Connecting and teaming up with other community interested parties allows the organization to support the financial and quality goals, and coordinate care across the board giving more efficient and quality care (McKesson, 2018). This could help bring occupancy and admission levels up along with maximizing technology’s value by connecting the dots to help reduce complexities and cost. As regulatory, financial, clinical and consumer pressures influence healthcare organizations to produce and provide more effective and efficient care, healthcare technology becomes even more
Studies by Jha et al. examined surveys completed by the 2010 American Hospital Association Annual Information Technology of 2902 hospitals’ readiness for Meanin...
To understand the strategies being adopted in various healthcare facilities in order to improve their scores on quality measures and if these strategies have proved helpful in improving the over quality of care.
Learning Experience Journal Entry – Director of Health Information Management and the Supervisor of Medical Records Coder
Statistics was primely developed in 17th century. It was initially used in collecting population and recourses information of United States. But now, statistics is widely applied in various fields after hundred years of progress. Today, few professional activities are untouched by statistical thinking. However, only statistics itself cannot give any conclusions and findings. It is significant when complied with other subjects or studies resulted in numerous of different independent disciplines were developed, for example Environmental Health Statistics, Biostatistics and Economics Statistics, etc.
According to the American Health Information Management Association, Health information is the data related to a person’s medical history, including symptoms, diagnoses, procedures, and outcomes. Health information records include patient histories, lab results, x-rays, clinical information, and notes. The data can be analyzed to see how a patient’s health might have changed. I took interest in Health Information Management when it was brought to my attention by a doctor. He told me that is a very interesting field and it is in high demand as they have more jobs than people to fill them. I went home, researched it and now here I am making my entry into the field.
Burke, L. and Weill, B. (2005). The 'Secondary' of the 'Secondary'. Information Technology for the Health Professions.
The development of knowledge requires a number of processes in order to establish credible data to ensure the validity and appropriateness of how it can be used in the future. For the healthcare industry, this has provided the ability to create and form new types of interventions in order to give adequate care across a of number of fields within the system. Research then, has been an essential part in providing definitive data, either by disproving previous beliefs or confirming newly found data and methods. Moreover, research in itself contains its own process with a methodological approach. Of the notable methods, quantitative research is often used for its systemic approach (Polit & Beck, 2006). Thus, the use of the scientific method is used, which also utilizes the use of numerical data (Polit & Beck). Here, researches make use of creating surveys, scales, or placing a numerical value on it subjects (Polit & Beck). In the end the resulting data is neutral and statistical. However, like all things its approach is not perfect, yet, it has the ability to yield valuable data.
The profession of nursing is always regarded as complex, dynamic and noble. The nursing profession requires many things such as hard work, vast knowledge, excellent communication skills, and a passion for the noble profession. All these qualities are needed to be an effective nurse. Today, nurses are living in a world of ever changing field of medicine. The present patient statistics pose, nurses are expected to take responsibility of accomplishing the requirements.
Many positions, like loss prevention, are comparative to that of the health information management (HIM) professional. Depending on the particular position within a health care organization, the HIM professional is many times responsible for some type of data analytics or policy and procedure review. The HIM career field is heavily saturated in research related to health care organizational success. Moreover, HIM professionals are usually immersed in the formulation and development of health care data reports and statistics that directly influence organizational policy progression and evaluation. Reports in 2009 showed “605 federal and state/territorial agencies employed health information systems/data analysts in the public health workforce” and the numbers are growing (Houser, Manger, Price, Silvers, & Hart-Hester, 2009).
care for patients. In addition, the study will determine the factor of income and the burden of
On the other hand, descriptive statistics can be applied to the whole population to identify the results about whole population then it provides the base for inferential statistics. We can also take a small sample of population and can apply the results of small sample on whole population to draw the inference Mosteller & Tukey, (1977). The study of inferential statistic helped me to draw inference about the small sample of population related to some area of research in order to apply it to whole population
Understanding quality measurement is essential in improving quality. Teams need to be able to understand whether the changes being made are actually leading to improved care and improved outcomes. For data to have an impact on an improvement initiative, providers and staff must understand it, trust it, and use it. Health care organization must understand the measurement of quality provided by the Institute of Medicine (patient outcomes, patient satisfaction, compliance, efficiency, safe, timely, patient centered, and equitable. An organization cannot improve its performance if it does not know how it is performing. Measuring quality improvements is essential as it reflects the quality of care given by the providers and that by comparing performance
Statisticians and data analyst will work together to analyze and draw conclusions form the statistical data. Although, complete implementation of the findings might not be possible but needs would be prioritized. Different strategies and interventions will be presented to stakeholders to improve the health care system.
Information and Communications Technology (ICT) is reshaping the health care system in the United States at an accelerating rate. In earlier times US Healthcare system was more focused on intervention of diseases, but now it is moving more towards preventive approach and I see Health IT as the most important tool that can lead this change. I strongly believe that my professional goals, range and depth of my experience and knowledge is an asset and my enthusiasm for the field makes me an ideal candidate for the Master of Professional Studies in Technology Management (Health Information Technology) program at Georgetown University.