Health Care: A Qualitative Analysis

There is a mounting need to explore new health care areas whose related practices and quality can be enhanced through the development and deployment of particular informatics. Besides, there is a continuing need to establish how different informatics can be employed in addressing particular health care challenges or problems. For instance, with the continued implementation of the Affordable Care Act, various quality concerns have continued to be raised. This paper examines the application of an informatics solution designed in the general mold of the VHA (Veterans

The American Recovery and Reinvestment Act was created in 2009 to try and help multiple systems in the failing economy. The main goal of this Act is to promote economic recovery, spur technological advances in health and to stabilize state and local budget. The clinical business intelligence improves the patient care process, this data analytics provide the quality data which is timelier, and it also helps in billing and supports clinical

One the main roles healthcare workers (HCWs) can do is to provide patients with a safe environment whilst they are in the healthcare setting. In providing clinical safety to patients HCWs are ensuring that the patient will be safe from preventable adverse events occurring to them whilst they are in the hospital setting. Patient safety should be a of high priority to the healthcare setting and HCWs. Nursing staff are the main providers of care to patients whilst in the healthcare setting and have many responsibilities in delivering safe patient care. Whilst in the healthcare setting patients are vulnerable and at the hand of healthcare workers, thus it is extremely important for healthcare workers to maintain hand hygiene. To maintain a

However, Dutta (2008), the process-based perspective scrutinizes a variety of communication processes that are enacted in healthcare settings, with an emphasis on the ways in which the health meanings are constructed negotiated, resisted and sustained. For instance the process based approach in this study will focus on the various processes involved in the Zulu perspective

After I read “The Challenge: Moyen Sante Medical Sente, Chapter 7,” I learned how big data and data warehouses had caused a positive impact on health informatics. These impacts have reduced hospital readmissions, which has been a big setback for hospitals and healthcare organizations. The analytics system has caused health care systems to transform their health care system as they improve their information technology. Moreover, this may help advance the awareness of practitioner’s psychological decisions making especially towards data sources. As Ana and Ima showed a sign of agreement regarding the improve of their MSMC healthcare system in the future, Sarah provided a short video that intended to help answer the questions they were seek, such

For Payers - Since heath data can be made available to consume and analyze, organizations can take advantage and reduce their existing costs related to patient care. Adoption of digital heath data is estimated to save about $77 billion per year for both inpatient and outpatient care[5]. Better decisions can be made by Payers by taking the benefit of intelligent Algorithms which predict disease possibilities and provide more insights on target audience to better understand the entire healthcare system.

Study and analysis of the health care systems have become a necessity to improve its performance over time as it must meet a number of often conflicting objectives such as providing better and more efficient patient care while minimizing the cost of health care and resources (1, 2). Hospital management as an important component of healthcare systems may face with numerous challenging tasks while achieving these goals (2-4). In a hospital system, the flow of patients is a determinant factor that affects the performance of healthcare delivery processes. The decision problems of a hospital are directly related to and affected by the month to month changes in patient flows. The short-term forecasting of patient flows is the fundamental input of short-term decision making and planning on hospital and laboratory equipment, staff resources, food and laundry service demands, and like it. Furthermore, the long-term forecasts of patient flows are vital to long-term planning decisions about resources and capital budgeting which it’s positive gains, in the long run, will lead to a sequence of capital expenditure (5). In this context, the knowledge gained from an accurate prediction of patient flows would provide valuable information for resource allocation and strategic planning and also has the potential to minimize patient care delays,

In the article The Legal and Ethical Concerns that Arise from Using Complex Predictive Analytics in Health Care, the authors, Glenn Cohen, Ruben Amarasingham, Anand Shah, Bin Xie, and Bernard, analyze the major challenges involved with implementing predictive analytics in a health care setting. More specifically, the article discusses the use of predictive models that evaluates the risk of a patient, then identifying what medical intervention that will most greatly benefit the population, not just the patient. As you can see this use of technology could raise policy, ethical, and legal challenges. This article breaks down the process of developing a predictive model into four life cycle phases and examines the challenges involve with each

Hospitals will probably use big data to analyze the prescribing practices of individual technicians. It will help determine who is over or under prescribing. This will have an impact on the quality and safety of patient care as well as consumption costs.

Having an increase in medication errors is evidence that change is needed. Patient safety takes priority in the care of a patient. Safety is part of Maslow’s Hierarchy of Needs. If safety of a patient isn’t met first, the patient can have poor outcomes during their recovery. Patients experiencing adverse reactions from medication errors not only affects their safety, but can become a financial burden on them. If a patient has an adverse reaction that affects their health/illness, they may need to stay hospitalized longer, increasing their hospitalization cost. Increase in medication errors is never a good situation, but in order to decrease the errors, Sarah must implement change. Change will help improve

The qualitative case study served to capture the experiences of a isolated rural high school and the perspective of the site head administrator (SHA) regarding the extend to which the use of technology influences the operation of the school and the extend to which technology impacts student achievement.

There are many things wrong with the current healthcare system in America. When thinking of taking on a universal healthcare plan, there are many things one must consider. Who would be eligible for it? How would it affect those who already have insurance, and how would it financially affect the economy? It is quite obvious that people below poverty level have access to public health programs, such as Medicaid. What needs to be taken into consideration is that people who are poor, barely "above" "poverty”, “middleclass" "and" those who do not have health insurance are highly "affected" (Rashford 7). Many people suffer on various levels due to inadequate access to appropriate healthcare. The "number" of people who are

Predictive analytics will have a colossal impact in the field of healthcare, especially where there are basic courses of action of unbalanced and confined data. New systems being passed on through predictive examination will allow those including star's work environments, medical centers and course of action relationship to take a gander at this data to see how it can best guide medical key force.

Data mining is the process that companies and businesses use to interpret raw data and turn it into useful information. This is achieved by using software that serves this purpose. Although the term "data mining" is a newer one, the concept has been around for over two decades. This technology allows users, healthcare businesses and the like, to analyze data from many angles in order to categorize it and summarize key identifiable information. This has become especially important in the healthcare field, since electronic health records (EHRs) have become a standard in patient care. Although it brings some privacy concerns to surface due to the massive amount of patient data shared through the data mining process, it is also seen as a very successful and helpful tool in more ways than one. Like in other businesses, data mining may be used in healthcare to asses and improve satisfaction and to help detect fraud and abuse. For example, when data mining is used to address patient satisfaction, this should help the staff recognize patterns, patient preferences and patient expectations in order to be able to further meet their current and future needs. At the same time, this technology also allows for the establishment of what is considered a normal pattern, like when filing insurance claims. The system would then recognize anything that doesn't fall into these normal patterns and may help reduce fraud and abuse.

Every year, more and more schools offer stays abroad. However, most schools’ health insurance plans limit foreign health services. Even emergency care is rarely properly covered. While there are health insurance plans in the individual market for travel purposes, these plans are not regulated by the Affordable Care Act and health insurance minimums requirements are not guaranteed. Students are once again forced to use the individual market.