Linking Electronic Health Record-Extracted Psychosocial Data in Real-Time to Risk of Readmission for Heart Failure
نویسندگان
چکیده
منابع مشابه
Complex Event Processing of Health Data in Real-time to Predict Heart Failure Risk and Stress
In this paper, we develop a scalable system which can do realtime analytics for different health applications. The occurrence of different health conditions can be regarded as the complex events and thus this concept can be extended to other use cases easily. Large number of users should be able to send the data in real-time, and should be able to receive the feedback and result. Keeping the re...
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Readmission for heart failure remains a major focus of policymakers, clinicians, and patients. Despite meeting key national performance measures and frequent use of evidence-based therapies, rates of 30-day post-discharge rehospitalization may be as high as 25%. Digoxin and mineralocorticoid antagonists are known to reduce admissions for heart failure, but are significantly underused in current...
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BACKGROUND A real-time electronic predictive model that identifies hospitalized heart failure (HF) patients at high risk for readmission or death may be valuable to clinicians and hospitals who care for these patients. METHODS An automated predictive model for 30-day readmission and death was derived and validated from clinical and nonclinical risk factors present on admission in 1372 HF hosp...
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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...
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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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ژورنال
عنوان ژورنال: Psychosomatics
سال: 2011
ISSN: 0033-3182
DOI: 10.1016/j.psym.2011.02.007