Heart Failure (HF) is prevalent disorder that affected 6.6 million people in the United Sates during 2010 (Patarroyo-Aponte & Colvin-Adams, 2014). In HF 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) will 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, Emmanouilidou, Martinelli, Moroni, & Salvetti, 2010). The CDSS performs at its best when it is connected an Electronic Health Record (EHR) and Computerized Physician Order Entry (CPOE). The CDSS contains what is known as triggers. The triggers are clinical indicators that have been programmed into the system. The CDSS interacts with either the International Classification Disease (ICD) or the Logical Observational Indentifier Names and Code (LOINC) to identify and diagnose the patients (McCool, 2013). This paper will review the CDSS with a domain of HF and test if the use of CDSS will (1) postively diagnosis patients with HF thus allowing to treat patients accordingly, (2) assist physicians in prescribing medications thus reducing the amount of medication errors and (3) postively influence the way physicians diagnosis patients with HF thus providing a higher confidence level.
Review of Literature
A review of the article “Decision support in heart failure through processing of electro- and echocardiograms” shows that the use of a CDSS was effective in successfully diagnosing patients with HF. The implemented system was evaluated at the Department of Cardiology, University Magna Graecia, Catanzaro, Italy. Since heart...