An NLP (Natural Language Processing) Framework to perform risk identification using featured engineering from unstructured data Abstract The hospital readmissions in case of COPD (Chronic Obstructive Pulmonary disease) increases medical expenses and also require intensive care for patients. Natural Language Processing (NLP) is the art and science which helps us extract information from text and use it in our computations and algorithms. We aim to develop a Natural Language Processing framework to analyze clinical notes, physician entries, x-ray reports, and...
Patient Education is a process of empowering patients to be the in charge of their own wellbeing and be more independent concerning their health management (Yeh, Wu, & Tung, 2018). It is one of the most important responsibilities of the nurses to educate the patient properly to prevent hospital readmission, improve patient’s confidence in health care and avoid relapses. Moreover, nurses’ ability to instruct efficiently can optimize patient’s learning, skills, capacities of self-care, and capabilities to make informed choices (Falvo,...
Abstract Nurses have the role of educators. Nurses in this role help clients learn about their condition and health care procedures that clients must take to restore or maintain their health. Telenursing is one of the communication methods used to educate the client, especially in heart failure. They were often admitted repeatedly to the hospital due to a lack of knowledge and poor adherence to the regiment. And rarely discussed what methods that have the most efficient to implement in...
Care Plan Case Study: Systolic heart failure myocardial infarction Heart failure is costly for our healthcare systems and one of the leading causes for hospitalization. Many patients are not able to manage their heart failure after discharge and are readmitted back to the hospital within 30 days of being discharged. Another issue among these heart failure patients is their quality of life. These patients tend to have a poor quality of life if they don’t know how to manage their...
When a patient is admitted to the hospital the issue to tackle is not necessarily only the immediate course of evaluation and treatment, but to also address what lies ahead of the initial admittance. The lack of follow-up care post hospital discharge is a matter of contention within the United States healthcare system and a direct causation of high readmittance rates (Jackson et al., 2015). Post hospital discharge, patients often encounter issues amidst recovery that cause them to be readmitted...
Get a unique paper that meets your instructions
800+ verified writers
can handle your paper.
1. Dataset Description UCI Machine Learning repository – Diabetes 130-US hospitals for years 1999-2008 Data Set This research includes a publicly available dataset taken from the Center for Clinical and Translational Research, Virginia Commonwealth University. It consists of over a million records collected across 130 US hospitals and from various healthcare providers over 10 years (1999 – 2008) . It consists of fifty features representing diabetic patients’ information, mainly regarding readmission. As per our research in the dataset, the essential...
Thank you for taking the time to read about and address the health issues that are prevalent in the 30th District as mentioned in my previous memo. I would be happy to provide additional details and evidence on the rates of readmission to Dallas hospitals for cardiovascular-related health issues. I would like to use health statistics and data from our friends in France to compare their health care system and lower rates of readmissions for cardiovascular-related health issues, despite the...
Problem Statement High rates of readmission after hospitalization for heart failure puts a tremendous burden on patients and the healthcare system. Predictive models are used to identify patients with high risk for hospital readmissions and potentially enable direct specific interventions toward those who might benefit most by identifying key risk factors. The current ability to predict readmissions in patients with heart failure is modest at best. The inclusion of a richer set of predictor variables encompassing patients’ clinical, social, and...