HEART FAILURE READMISSION RISK PREDICTION: EVALUATION ON DIFFERENT APPROACHES FOR PATIENT LEVEL PROFILING OF READMISSION
نویسندگان
چکیده
منابع مشابه
Prediction and Management of Readmission Risk for Congestive Heart Failure
This position paper investigates the problem of 30-day readmission risk prediction and management for Congestive Heart Failure (CHF), which has been identified as one of the leading causes of hospitalization, especially for adults older than 65 years. The underlying solution is deeply related to using predictive analytics to compute the readmission risk score of a patient, and investigating res...
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Congestive Heart Failure (CHF) is one of the leading causes of hospitalization, and studies show that many of these admissions are readmissions within a short window of time. Identifying CHF patients who are at a greater risk of hospitalization can guide the implementation of appropriate plans to prevent these readmissions. Developing predictive modeling solutions for such disease related risk ...
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BACKGROUND Human factors play an important role in health-care outcomes of heart failure (HF) patients. A systematic review and meta-analysis of clinical trial studies on HF hospitalization may yield positive proofs of the beneficial effect of specific care management strategies. PURPOSE To investigate how the 8 guiding principles of choice, rest, environment, activity, trust, interpersonal r...
متن کاملImplantable device diagnostics on day of discharge identify heart failure patients at increased risk for early readmission for heart failure
AIMS We hypothesized that diagnostic data in implantable devices evaluated on the day of discharge from a heart failure hospitalization (HFH) can identify patients at risk for HF readmission (HFR) within 30 days. METHODS AND RESULTS In this retrospective analysis of four studies enrolling patients with CRT devices, we identified patients with a HFH, device data on the day of discharge, and 30...
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Mitigating preventable readmissions, where patients are readmitted for the same primary diagnosis within thirty days, is a significant challenge in delivery of high quality healthcare. Towards this end, it is imperative to understand the cause, risk propensity and timing associated with patient readmissions. We develop a patient profiling model that can predict the propensity of readmission for...
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ژورنال
عنوان ژورنال: Journal of the American College of Cardiology
سال: 2016
ISSN: 0735-1097
DOI: 10.1016/s0735-1097(16)31431-0