Health Care: A Qualitative Analysis

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.

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

Quality and care management innovations implemented by the Hill Physicians Medical Group were the use of health information technology (HIT), predictive modeling, and chronic care management. The Group capitalized $5.7 million towards the implementation of electronic medical records (EMRs) throughout their physician offices to assist with clinical workflow, management of patient health information (PHI), and integration evidence-based practice procedures. Predictive modeling was used to manage chronic conditions by utilizing a Priority Score to establish who might need major health care services. As such, nurse case managers were able to

Increasing patient acuity along with the complexity of today’s health care system contributes many clinical decision errors that injure approximately 1 out of every 25 hospitalized patients and contributes more than 48,000 deaths each year. The most contributing factor for this preventable errors are the lack of comprehensive clinical picture of the patient. This incidence not only affect the doctors but also the Advanced Practice Nurses (APN) who make critical clinical decision based on limited clinical data. Better understanding and use of clinical data across the healthcare continuum is important for APNs to provide care to the diverse populations. If APNs are educationally prepared to manage the clinical data, they can not only utilize them, but also help to design the health information technology. Therefore nursing informatics

In my opinion with technology developing constantly data mining holds great potential for the healthcare industry to enable health systems to systematically use data and analytics to identify inefficiencies and best practices that improve care and reduce costs. It has been proven by some experts that the opportunities to improve care and reduce costs concurrently could apply to as much as 30% of overall healthcare spending. This could be a win/win overall. But due to the complexity of healthcare and a slower rate of technology adoption, our industry lags behind these others in implementing effective data mining and analytic strategies so in conclusion data mining will continually be a great asset to the health care industries .

Predictive modeling is another form of data analytics that is focused on forecasting the future medical costs. This model utilizes patients’ medical information in an effort to evaluate health risks and forecast the future of medical utilization (Ingenix, 2006). A large variety of predictive modeling procedures are available, which are created to assign a specific risk level or score to the patients (Asparouhov, 2012). Risk scores are controlled by the risk markers and are given to each patient in a specific population (Ingenix, 2006). In using any past diagnoses and other information gathered, the predictive models will calculate the individual patient costs that can then be used by healthcare providers and the insurers. Therefore, certain

Health care can be an overwhelming and complex system. There are many differences within health care systems across the world. For my research I decided to compare the systems in Germany and the United States. Although there are many similarities amongst the two, there are also many differences. This research gives insight as to what each individual system is like, and what is involved in keeping it functioning.

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

The concept of data sharing has evolved over time from its infancy in the 1980s. The Institute of Medicine formed a committee to explore the development of computer-based patient record. In 1991, the committee released their report on the CPR and urged its implementation within a decade (Sayles, 2013). Their viewpoint was the technology was needed to improve health care. Their definition did not begin and end with defining just the data elements, but also encompassed the applications involved. Many of their initial ideas are still in use today, such as decision support systems and practitioner reminders and alerts. Although many developments have occurred in the 25 years from this initial report, the EHR is still not

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.

What is your opinion of a single-payer health system? Would it work (or does it work) in your country? Why or why not?

All the time, health care is essential to our life and we need to depend on it in order to getting a better health. Health care in England is mainly provided by England 's public health service, the National Health Service, that provides health care to all permanent residents of the United Kingdom that is free at the point of use and paid for from general taxation.[1]The National Health Service which is publicly funded health system in England plays an important role. According to some researches, the largest and oldest single-payer health care system named the National Health Service (NHS). It was founded by the United Kingdom Labour government in1948. Everyone could get many benefits from it. Their charge are often free to vulnerable or low income groups, or often cheaper than equivalent services provided by a private health care provider.

When I decided to study in health care, I thought I would be satisfied with the type of health care practitioner I had become. As I acquired more experience though, my initial enthusiasm on what I had chosen was replaced with some disappointment when I realized the limitations of Homeopathic medicine and my scope of practice with it.

Evidenced based research is defined as continually using current best evidence-based research when decisions have to be made about the patients care or health care (Melnyk, & Fineout-Overholt, 2005). There is a clinical/medical question that needs to be looked into. The question is researched by searching for information on that question paying close attention to the important reviews and evaluations of the information given (Melnyk, & Fineout-Overholt, 2005). This requires that you review more than one study in order to get reliable and more dependable results which can lead to a better understanding of the research question (Melnyk, & Fineout-Overholt, 2005). One example of evidenced-based research: A health care professional suggests that a patient who has recently had stomach bleeding take acetaminophen to treat his arthritis pain. The health care professional has done research on this and research has shown that acetaminophen has less risk for stomach bleeds than most of the other regular pain relievers (Ahrq.gov, n. d.). The health professional has performed evidenced-based research.

As we know, for delivering good qualitative service in healthcare industry, data plays an important role. So it’s necessary to understand the fact that the big data must be used in a right way to make health service industries successful. For managing and analysing the big data it’s important to have a good knowledge about the healthcare data complexity, framework, technologies for “big data analytics in healthcare industries”.