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...
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...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.
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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).
One of the pivotal roles of a nurse is the ability to recognise patient deterioration. The skill of identifying crucial elements of deterioration and acting appropriately is fundamental for positive patient outcome. A vital skill performed primarily by nurses is the act of respiratory rate measurement. This skill is performed in addition to five other physiological parameters, which form a basis for a scoring system. The scoring systems commonly used are known as NEWS (National Early Warning Score) and EWS (Early Warning Score). As many adverse events are preceded by a period of time where by the patient exhibits physiological dysfunction, there is often time to correct abnormalities. This has significance for nurses, as they are responsible
Introduction “Health informatics is the science that underlies the academic investigation and practical application of computing and communications technology to healthcare, health education and biomedical research” (UofV, 2012). This broad area of inquiry incorporates the design and optimization of information systems that support clinical practice, public health and research; understanding and optimizing the way in which biomedical data and information systems are used for decision-making; and using communications and computing technology to better educate healthcare providers, researchers and consumers. Although there are many benefits of bringing in electronic health systems there are glaring issues that associate with these systems. The
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.
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.
The second major component of the CDSS aims at workflow and ease-of-use with a computer program. There are many computer programs out there but a common one being implemented into many medical facilities is called “Isabel”. According to computer programmer Matt Hagland (2012), “Isabel takes a natural language patient summary from the physician notes in the EHR, identifies keywords contained in the summary, and then generates a list of related diagnoses from its probabilities database” (Healthcare informatics journal, pp. 4, para. 3). This type of program eliminates improper diagnostics based on what the patient is experiencing as far as symptoms and treatment.
... 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.”
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
There is no cure for heart failure at this time, so it is important for you to take good care of yourself. One way to do that is to make sure you follow the treatment plan set by your health care provider. If you are living with heart failure, there are ways to help you manage the disease.
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
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
Gong, Y. (2010). Case-based Medical reasoning. HMI 8571 Decision Support Systems in Healthcare. Feb 22, 2010. Retrieved on 2/22/10 https://hmi.missouri.edu/moodle/mod/resource/view.php?id=11201
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.
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