Heart Failure (HF) is prevalent disorder that affected 6.6 million people in the United Sates during 2010 (Patarroyo-Aponte & Colvin-Adams, 2014). The heart lacks the ability to push oxygenated blood throughout the cardiovascular system. This disorder prevents vital organs from getting the oxygen needed in order to perform their duties as well. The disorder must be managed and maintained since HF is a disorder that not only affects the heart but respiratory system, endocrine system, digestive system and all other system (Chiarugi, Colantonio, Emmanouilidou, Martinelli, Moroni, & Salvetti, 2010). Heart failure is a serious disorder is which expected to increase by 25% by the year 2030. To coincide with the people diagnosed with heart failure, 50% of these people will die within the 5 years of being diagnosed (Patarroyo-Aponte & Colvin-Adams, 2014). With these numbers of diagnoses and mortality puts a strain on the quality of healthcare, cost of healthcare and workflow of healthcare system. However, the earlier the patient can be diagnosed with heart failure will help decrease mortality rates, hospital stays and cost of treatments. One of the ways of early detection for heart failure is by the implementation of a clinical decision support system (CDSS) into a healthcare facility. The implementation of the Clinical Decision Support System (CDSS) was to allow physicians the ability diagnoses patients with the use of evidence based decisions. Physicians can explore relevant medical information through the CDSS from reliable medical experts, clinical guideline extractions and alerts of new and different phases of patient management without the interruption of the medical organization’s workflow (Chiarugi, Colantonio, Emmanouili... ... middle of paper ... ...rtinelli, M., Moroni, D., & Salvetti, O. (2010). Decision support in heart failure through processing of electro- and echocardiograms. Artificial Intelligence in Medicine, 2010-10-01, Volume 50, Issue 2, 95-104. Lesle, S. J., Hartswood, M., Meurig, C., McKee, S. P., & Slack, R. (2006). Clinical Decision Support Software for management of chronic heart failure: Development and Evaluation. Computers in Biology and Medicine vol. 36, 495-506. McCool, C. (2013). A Current Review of the Benefits, Barriers, and Considerations for Implementing Decision Support Systems. Online Journal of Nursing Informatics vol. 17, 1-6. Niemei, K., Geary, S., Quinn, B., Larrabee, M., & Brown, K. (2009). Implementation and evaluation of electronic clinical decision support for compliance with pneumonia and heart failure quality indicators. American Journal of Health-System Pharmacy, 389-397.
In conclusion, clinical decision support systems provide a mechanism for improving the quality of care services when integrated with evidence-based practice and clinical guidelines. These systems would particularly improve health care quality when combined with evidence-based medicine. This process may also include the use of databases and condition-specific clinical guidelines to improve their effectiveness and efficiency.
A cardiac assessment: Listen to heart sounds listening for extra heart sounds, fast heartbeat, and monitor EKG looking for dysthymias. Assess vitals especially BP, BP should be kept low in heart failure patients to put less stress on the heart. Assess the patient for edema as a result of fluid retention. Listen for crackles in the lungs due to fluid built up. Watch I&O’s and weight the patient to assess for edema, ask about activity intolerance. Assess for changes in mental status, cool extremities, pale or cyanotic, fatigue, and JVD (Indications of poor perfusion) (Ignatavicius &Workman, p.756).
The systematic review indicated (1) ‘Case management interventions were associated with reduction in all-cause mortality at 12 months follow up, but not at six months’. (Takenda, et al, 2012) The systematic review also went on to state that while case management interventions were not associated with reduced mortality, case management interventions were indicated to reduce the occurrence of patients presenting to hospital with exasperations of chronic heart failure. The benefits of case management based interventions were apparent after 12 months had lapsed. Six of the twenty five studies assessed (2) heart failure clinics, and the evidence for this intervention was less convincing with the review stating ‘there was no real difference in all-cause mortality, readmissions for HF or between patients who attended a clinic and those who received usual care’. (Takenda, et al., 2012)
... internal regulatory accreditation survey which was coordinated and conducted by the Allina regulatory leads from across the system. The surveys are designed to replicate an actual Joint Commission survey by incorporating the same patient tracer methodology utilized by TJC. Non-compliant internal findings were evaluated by responsible individuals and corrective actions were put in place to bring the requirements into compliance. The internal survey findings were entered into the ARAS tool and became helpful adjuncts during the preparation of the 2010 PPR. A dedicated heart failure disease specific certification team worked diligently throughout the year to prepare the organization for a 2011 TJC certification survey. The application for heart failure program certification survey was submitted to the TJC in December 2010 with an anticipated site visit in early 2011.”
Congestive Heart Failure is when the heart's pumping power is weaker than normal. It does not mean the heart has stopped working. Blood moves through the heart and body at a slower rate, and pressure in the heart increases. This means the heart cannot pump enough oxygen and nutrients to meet the body's needs. The chambers of the heart respond by stretching to hold more blood to pump through the body, or by becoming more stiff and thickened.
The best way to prevent heart failure is to minimize the risks that cause it and to control existing health problems that are related to the condition such as high blood pressure and diabetes. If a person does happen to have heart failure there are many medications and treatments that can help control the disease and help the patient continue to live as normal of a life as possible. After being discharged from the hospital Mr. Carver will have to be aware of his condition at all times and take the proper measures to keep himself healthy. He will have to make many life changes and continue to keep up on any appointments made to make sure his condition is under control. With the proper understanding and management of his disease, Mr. Carver will be in a good condition to resume his life as before.
Over 670,000 people a year are informed that they have congestive heart failure, also known as CHF. At first it may be pretty scary too hear these words, so let me explain a little bit about CHF. Congestive heart failure does not mean that the heart has failed to work, it simply has started pumping weaker than normal. There are a large number of signs & symptoms including: congested lungs, edema, irregular heartbeats, dizziness, and fatigue. Numerous things can cause CHF like coronary artery disease, a heart attack, hypertension, and diabetes. In this paper I will give a case scenario about a patient I cared for, a thorough assessment, and come up with two nursing diagnosis that apply to this patient. Taking the diagnosis into account I will create two goals and two interventions for each goal.
The scientific journal I selected discusses the cardiac disease, congestive heart failure. In this article registered nurses and doctors came together to talk about a new way to improve patients functioning lifestyle while battling with this awful disease. Discovering that with the new healthcare system the readmission rates of patients with congestive heart failure, there was something more they could do to improve the outcome of the medical setting in which these patients are being treated.
Information Systems/Technology and patient care technology for the improvement and transformation of health care is an important part of the DNP. Technology has transformed every aspect of human life in positive ways. Technology brought efficiency and improved healthcare deliverance system. Healthcare technologies enabled practitioners to better understand disease process and how to implement best treatment plan. DNP programs across the country embrace information systems and technology in their nursing curriculum because, it prepares nursing students to be innovative and deliver best care (AACN, 2006). DNP graduates must have the ability to use technology to analyze and disseminate critical information to find solutions that
Looking back in time over the last 40 years even computers were huge, bulky, and unsightly. Few homes had them and individuals had no idea what capabilities could arise. After the evolution of the internet, and computers becoming more popular, physicians had been able to use these tools to improve the quality of patient care. However with the recent mandate the government has put on electronic health record systems (HER), one key objective is to optimize the use of Clinical Decision based support systems (CDSS). By utilizing such systems, better care at a cheaper rate can be provided to patients saving both time and money.
CDI implementation requires precise queries that allow questions to arise towards physicians in order to obtain additional clarifying documentation. In this case, the documentations will assign detailed procedures and diagnosis codes. Query responses are mainly documented through discharge summaries, progress notes, or a query form that helps keep it as a permanent record. In order for queries to be clinically based, they must first be fact driven and concise to the point. The most ideal time for queries to come about, there must consist conflict, any information regarding a significant procedure, or unspecified codes by making sure providers clinical judgment are not judged. In addition, creating a query process requires the right CDI practitioners and staff members for the job to get complete. This includes specializing formats, such as e-mail, software based, and Internet systems that are capable of tracking the number and types of queries through practitioners in order to aid their coding and documenting
Living with heart failure requires you to make changes in your life. Your health care team will teach you about the changes you will need to make in order to relieve your symptoms and lower your
Health Information Systems Introduction Easy and timely availability of sound, accurate, and reliable information is the foundation of all decision-making processes within the healthcare system. Health information systems are computer integrated healthcare systems that provides the underpinnings for decision-making in healthcare by facilitating data generation, analysis, compilation, storage, synthesis, and dissemination. Therefore, strong health information systems are fundamental to the attainment and achievement of better healthcare outcomes. Health information systems are the centerpieces of any effective health system since it will ensure that the right information gets to the right person at the right time. As more and more organizations
Better healthcare data frameworks could offer assistance. Most physicians fail to possess the data and infornation important to arrange a patient's care and consideration with different physicans, offer required data, screen consistence with avoidance and
Living in the Big data era, created vast opportunities to build various prediction models. Analyzing the raw data and extracted information from various source of data could enable us in better clinical decisions and outcomes. In this project we analyzed the raw data from the Multi-Parameter Intelligent Monitoring in Intensive Care (MIMIC III) database. In exploring an approach to decision support based on information extracted from a clinical database, we developed attributable risk and risk stratification models of intensive care unit (ICU) patients.