Evaluation of Clinical Decision Support System for Heart Failure

Heart Failure is a progressive heart disease when the muscle of the heart is weakened so that it cannot pump blood as it should; the blood backs up into the blood vessels around the lungs and the other parts of the body (NHS Choice, 2015). In heart failure, the heart is not able to maintain a normal range cardiac output to meet the metabolic needs of the body (Kemp and Conte, 2012). Heart failure is a major worldwide public health problem, it is the end stage of heart disease and it could lead to high mortality. At present, heart failure is usually associated with old age, given the dramatic increase in the population of older people (ACCF/AHA, 2013). In the USA, there are about 5.7 million adults who have heart failure, about half of the people die within 5 years of diagnosis, and it costs the nation an estimated $30.7 billion each year (ACCF/AHA, 2013).

Nearly 5.1 million people in the United States have been diagnosed with heart failure. Yet so many people don’t have a clue what it is until they have been diagnosed with it. Congestive Heart Failure, or CHF, is a disease that has many symptoms, can be tested and treated, has several causes, and can be avoided.

Analyze the requirements of the system and how this DSS is reducing medical errors and improving clinical practice.

The accuracy of interqual criteria in determining the need for observation versus hospitalization in emergency department patients with chronic heart failure.

Heart failure affects nearly 6 million Americans. It is the leading cause of hospitalization in people older than 65. Roughly 550,000 people are diagnosed with heart failure each year (Emory Healthcare, 2014). Heart failure is a pathologic state where the heart cannot pump enough blood to meet the demand of the body’s metabolic needs or when the ventricle’s ability to fill is impaired. It is not a disease, but rather a complex clinical syndrome. The symptoms of heart failure come from pulmonary vascular congestion and inadequate perfusion of the systemic circulation. Individuals experience orthopnea,

Heart Smart is a voluntary non for profit organization that is working to bring awareness towards congestive heart failure also known as CHF or heart failure. CHF is a chronic condition in which the heart does not pump blood as well as it should. Heart failure can occur if the heart cannot pump (systolic) or fill (diastolic) adequately. Symptoms include shortness of breath, fatigue, swollen legs, and rapid heartbeat. Treatments can include eating less salt, limiting fluid intake, and taking prescription medications. In some cases a defibrillator or pacemaker may be implanted. Heart Smarts mission is prevention of this disease through increasing knowledge and reducing the number of incidence our county residents face through networking, education

Diagnosed with Congestive cardiomyopathy implies that the patient’s heart muscle has been debilitated by ailment and cannot sufficiently pump blood through the heart, which can lead to heart failure (“Columbia University Medical Center”, 2016). In this case study, the current situation of a male patient Mr. P., who is 76 years old, and frequently hospitalized with CHF is given. The purpose of this paper is to describe an approach to care with treatment plan recommendation, provide education to both the patient and his family, and a teaching plan.

This paper proposes a telemedicine model of care provision to monitor congestive heart failure (CHF) patients to reduce the rates of readmissions. The high rates of readmission for CHF cases at a large university-affiliated hospital in a metropolitan setting helped produce the proposed system to actively monitor patients. By identifying critical elements in the communication devices, patient monitoring systems, and connectivity from telecommunication devices, the healthcare organization (HCO) can understand the scope of the proposal. Procuring hardware and establishing networking capabilities along with training will help the HCO and CHF patient communicate data that is updated to the electronic health record (EHR).

Throughout history, one of the most prevalent ways of diagnosing this condition has been through the methods of electrocardiography and plain chest radiography (Riedel, n.d.). These tests are considered to be the most basic of tests in diagnosing the condition and

Clinical decision-support systems (CDSS) apply best-known medical knowledge to patient data for the purpose of generating case-specific decision-support advice. CDSS forms the cornerstone of health informatics research and practice. It is an embedded concept in almost all major clinical information systems and plays an instrumental role in helping health care achieve its ultimate goal: providing high quality patient care while, at the same time, assuring patient safety and reducing costs. This computer based systems designed to impact clinician decision making about individual patients at the point in time that these decisions are made. If used properly, CDSS have the potential to change the way medicine has been taught and

However for proper patients managements, clinical diagnoses is foremost step but it has its limitations. So there is need for additional tools to aid clinical evaluation and to their ability to identify the patient at possibility for cardiovascular diseases, as proposed by a recent National Institutes of Health (NIH) panel (Naghavi et al., 2003). Blood tests have been used for the indication of either disease or a future risk of the development of a disease over approximately 50 years. Blood tests help in detecting substances that are not present in normal physiological condition or check that elevated levels of substances from normal that indicate risk of disease. Electrocardiograms are used in the assessment of patients with chest discomfort,

At the end of this semester, our group will articulate the results related to issues faced in different domains of CDSS. Then, we will also propose our own recommendation based on the literature sources that we will review about Clinical Decision Support System.

Because caregivers must often assume control over the care of a patient with heart failure, the design of the study was to examine the decision-making processes caregivers of patients with heart failure go through by talking to a representative sampling of the population. The stages

Heart failure (HF) is one of the main causes of morbidity and mortality worldwide, with dilated cardiomyopathy being the most common type (1,2). It has been estimated that around 5.1 million American adults have HF and its prevalence was projected to increase 46% from 2012 to 2030 (2). For this reason, huge efforts were devoted to identify the underlying pathophysiological and molecular aspects of HF aiming to develop effective diagnostic and therapeutic strategies to improve the prognosis of the disease (3,4).

A Decision Support System is an interactive computer-based system intended to help decision makers utilize data and models in order to identify and solve problems and make decisions [1]. A Clinical Decision Support System (CDSS) is an active knowledge system, where two or more items of patient data