Data Mining In Health Care: A Case Study

The real-world business situation that I will be addressing by collecting and analyzing a set of data is that of a Hospital, specifically that of the hospital staff and the patient safety interaction. I have chosen this specific business as it is my hope to utilize this degree to become a director at a local hospital. In Hospital’s there are so many aspects that one needs to look at. These aspects can be broken down into individual pieces of data that can be analyzed and provide a clear outlook of change.

Dialysis is not only expensive, but also rough on patients and it is only a temporary solution. Essentially, since dialysis filters the blood through a machine, the patient is stuck living to that machine until there's an available organ. Due to the advances in medicine, kidney transplantation is the best option for the patient. Not only is it reliable, causing very few complications, it can help return the patient to their normal life. However, the lack of kidneys available for transplant caused 50,000 deaths worldwide.

Since many health information infrastructure systems are relatively new, there is still variability in the implementation stages that different organizations have achieved. Additionally, most systems will have more than one capability that provides value, so the relationship between the system’s functionality and the resulting impact to patient care must be analyzed in order to determine the value it provides (Einstein, Juzwishin, Kushniruk, & Nahm, 2011). Value of health information infrastructures can be assessed in many different ways, including whether the technology allows the availability of useful information, how that information is utilized by staff and patients, and its impact on health outcomes. For information to be of value and influence medical decision making, it must be comprehensive, accessible, useful, and valid (Fitterer, Mettler, Rohner, & Winter, 2011).

The number of persons over the age of 65 will double by 2030. The older population may also present with comorbidities that demand more physician services. Of the 83 million people over age 62, 14 million will have diabetes, and 21 million will be obese. However, first year enrollment in medical schools has declined every year since 1980.Other conditions that will drive demand for physician services include rates of heart disease and cancer, two of the leading causes of death in the U.S. It is projected that the shortage will most affect the primary care sector of physician services.

With the growing baby boomer generation, the need for long-term care (LTC) services have escalated

Keck and Reed,(2012) stated that the cuban health system was revolutionised in the 1970 to be more community based; due to clients reporting that waiting time to see a doctor was too long and the time spent with the doctors was too short. This dilemma prompted the revolutionary shift in the way care was delivered to the citizens. Hence, the goal was to provide comprehensive care where they live, as a resulted doctors and nurses were assigned to live and worked in the neighbourhood where they practice. They literally live next door to their clients.

Studies have shown that adequate palliative care is not available to many seriously ill Americans. Recent research revealed that about a third of hospitals in the US completely lacked palliative care programs and many of these programs are flawed (CAPC). Even in hospitals with these programs, they often have limited accessability, and patients are generally unawared of them (Rhymes). Palliative care is fundamental in ensuring a patient’s comfort and recovery, yet, its importance has not been recognized until recent years. While palliative programs in the US are constantly being improved, many will still suffer in discomfort while receiving their medical

Years of potential life lost is a calculation of the “weighted total of the number of deaths by age, with the weight for each age determined by the particular method of valuing potential remaining years of life (Gardner, J. and Sanborn, J).” In addition, years of potential life lost is used to “emphasize deaths at younger ages (Gardner, J. and Sanborn, J).” According to Changing the U.S. Health Care System, “the two largest contributors to the disproportionately high YPLL rate among African Americans are cancer and heart disease (2014).” Cancer is the most important contributor to YPLL because it is the “second leading cause of death but accounts for the largest YPLL per 100,000 for both males and females (Healthy People

Module 9 Case Study Acute Renal Injury and Chronic Kidney Disease Will is a 68-year-old male with a history of hypertension. Eight months ago, he started regular dialysis therapy for ESRD. Before that, his physician was closely monitoring his condition because he had polyuria and nocturia. Soon it became difficult to manage his hypertension. He also lost his appetite, became weak, easily fatigued, and had edema around his ankles.

Rising Health care costs: how to control it In U.S., spending on health care has been growing at a faster pace than spending in rest of economy since 1960s. The government was spending 4.7% of the gross domestic product (GDP) at that time, which grew to 16.2% in 2007, and is expected to rise to 20% of GDP by 2017(1). Without any drastic measures, according to the Congressional Budget Office (CBO), these numbers will project to 25% of GDP in 2025, 30% by 2035, and 49% in 2082 (2). The major components of U.S. health care spending are hospitals (31%), physician and clinical services (21%), pharmaceuticals (10%), and other spending (25%) (3).

This information is used to appropriately implement prevention and treatment for patients. The second outcome integrates analysis of information gathered by healthcare personnel to identify trends and inconsistencies within the healthcare population. Through this the origin of problems can be ascertained, and preventive measures can be instituted. Subsequently prevention will decrease incidences and ultimately the cost to

Dialysis basically acts as an artificial kidney by filtering the blood of the patients on it. Dialysis can be both a good and a bad thing. The good in it is works just like a kidney would for a temporary fix, the bad is that sessions last three hours, several times a week. Dialysis is very harsh on the patient’s bodies, especially the ones that become dependent on it. It basically drains their bodies and causes them to become very weak and most of them aren’t able to work anymore.

We must filter and customize that downloaded data for the health conditions that we primarily try to improve. Once data is customized and filtered properly, it gives us “care gaps”. Those care gaps can be easily closed out by accessing patient’s EMR or by referral. This updated data then gets uploaded back to the healthcare insurance company data set for reporting purpose. Data analytics helps health profession close the care gaps and improv care coordination between

Living Old in America In American today, those over 85 are now the fastest growing segment of the U.S. population. Medical advances allowed the number of Americans to live longer with healthier lives but comorbidities for others. In the past two decades, patients died from viruses, influenza and pneumonia. Today, advancement in healthcare has created a new development.

This paper will illustrate how Hennepin County (HC) utilize monitor and maintain EHR records for the following business lines hospital, outpatient clinics, health, social and human service. Data sharing of EHR has allowed the organization to successfully provide care coordination for the population we serve. As healthcare evolves and service delivery continues to influence healthcare, it is essential that each business lines work together and collaborate to effectively access EHR within the Epic system. EHR systems, data bases, web portals are critical for a healthcare provider remain compliant with federal regulations. I am an HC employee, and my organization is unique, because we own and operate Hennepin County Medical Center (HCMC) and