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Predicting discharge destination after stroke: A ...

Functional status at discharge was also a factor predicting the discharge destination. Patients needing minimal or no functional assistance at discharge, were discharged home significantly more often than those patients who needed moderate, maximal or total assistance (n = 5 577, p < 0.0001, 95% CI = 3.6–6.1) . A low score on the motor ...

Scalable and accurate deep learning with electronic health ...

Perhaps the most challenging prediction in our study is that of predicting a patient's full suite of discharge diagnoses. The prediction is difficult for several reasons. First, a patient may ...

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Prediction of early discharge after gynaecological ...

Jul 15, 2019 · Barsoum WK, Murray TG, Klika AK et al (2010) Predicting patient discharge disposition after total joint arthroplasty in the United States. J Arthroplasty 25(6):885–892 CrossRef Google Scholar. 38. Kelly DM, Bennett R, Brown N et al (2012) Predicting the discharge status after liver transplantation at a single center: a new approach for a new era.

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Risk Assessment Tools Used to Predict Outcomes of Total ...

This article reviews recently proposed clinical tools for predicting risks and outcomes in total hip arthroplasty and total knee arthroplasty patients. Additionally, we share the Massachusetts General Hospital experience with using the Risk Assessment and Prediction Tool to predict the need for an extended care facility after total joint arthroplasty.

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Efficacy of the APACHE II Score at ICU Discharge in ...

In this study, we evaluated the efficacy of the discharge Acute Physiology and Chronic Health Evaluation (APACHE) II score in predicting post-intensive care unit (ICU) mortality and ICU readmission during the same hospitalisation in a surgical ICU.

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Predicting Discharge Disposition After Shoulder... : JAAOS ...

Introduction: Postdischarge management for shoulder replacement continues to be performed on a case-by-case basis, with no uniform guidelines dictating management. The goal of this study was to develop a nomogram to preoperatively predict a patient's discharge disposition after elective shoulder ...

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Level of Function at Discharge as a Predictor of ...

Level of Function at Discharge as a Predictor of Readmission Among Inpatients With Schizophrenia You will receive an email whenever this article is corrected, updated, or cited in the literature. You can manage this and all other alerts in My Account

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Predicting Discharge Destination of Stroke Patients Using ...

Predicting Discharge Destination of Stroke Patients Using a Mathematical Model Based on Six Items From the Functional Independence Measure Robert W. Mauthe, MD, Deborah C. Haaf, MSPT, Peggy Hayn, MSN, John M. KralI, PhD ABSTRACT. Mauthe RW, Haaf DC, Hayn P, Krall JM.

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Predicting hospital admission and discharge with symptom ...

Predicting future hospital discharge. The Cox proportional hazard regression model used the function score (PSP) or symptom scores (PANSS), and other covariates of the patients who were hospitalized on the day of their week 1 assessment in the open-label phase to predict the hazard for discharge .

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Simulating and predicting river discharge time series ...

Accurate simulation and prediction of the dynamic behaviour of a river discharge over any time interval is essential for good watershed management. It is difficult to capture the high‐frequency characteristics of a river discharge using traditional time series linear and nonlinear model approaches.

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Predicting hospital discharge disposition in geriatric ...

TY - JOUR. T1 - Predicting hospital discharge disposition in geriatric trauma patients. T2 - Is frailty the answer? AU - Joseph, Bellal A. AU - Pandit, Viraj

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Predicting discharge to institutional long-term care ...

Apr 20, 2017 · Discharge to long-term institutional care following acute hospital admission is a common outcome with significant variation (3–77% (median 15%)), however, current data do not allow us to predict who will make this transition.

Predicting Discharge Dates From the NICU Using Progress ...

Aug 01, 2015 · BACKGROUND AND OBJECTIVES: Discharging patients from the NICU may be delayed for nonmedical reasons including the need for medical equipment, parental education, and children's services. We describe a method to predict which patients will be medically ready for discharge in the next 2 to 10 days, providing lead time to address nonmedical reasons for delayed discharge.

Predicting discharge location of hip fracture patients ...

An instrument that predicts the discharge location at the time of admission would therefore be of great importance, not only for the liaison service but also for patients and their family. Although there are some publications about risk factors for DAL [7–11], few discharge prediction scores for hip fracture patients have been published [12 ...

  • Published in: International Orthopaedics · 2012Authors: A J H Vochteloo · Wim E Tuinebreijer · Andrea B Maier · Rob G H H Nelissen · Rolf .Affiliation: Leiden UniversityAbout: Discharge location · Predictive value of tests · Retrospective cohort study · Receiver o.Get Price

Preoperatively predicting non-home discharge after surgery ...

Returning home after surgery is a desirable patient-centered outcome associated with decreased costs compared to non-home discharge. Our objective was to develop a preoperative risk-scoring model predicting non-home discharge after surgery for gynecologic malignancy.

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Predicting centrifugal compressor performance

This article discusses a correlation method for predicting the performance of an existing centrifugal compressor in new operating conditions and presents the results from specific examples. This method utilises parameters reported in the literature and mainly involves correlating an available set of performance data to predict the performances ...

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Predicting patients requiring discharge to post-acute care ...

For patients requiring post-acute care facility discharge, their average hospital length of stay was 4.38 days (standard deviation = 3.14 days). The demographics of both cohorts (home discharge versus post-acute care facility discharge) are displayed in Table 1.

Predicting Discharge Disposition Among Adolescents in ...

ABSTRACT The major goal of this study was to identify early risk factors for unsuccessful discharges among a sample of boys aged 12 to 17 in residential treatment. Three of the risk factors considered independently predicted unsuccessful discharge. Legal status at admission (person in need of supervision or juvenile delinquent), being older at admission, and exhibiting very serious emotional ...

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Simulating and predicting river discharge time series ...

Accurate simulation and prediction of the dynamic behaviour of a river discharge over any time interval is essential for good watershed management. It is difficult to capture the high‐frequency characteristics of a river discharge using traditional time series linear and nonlinear model approaches.

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Predicting Discharge to Institutional Long‐Term Care After ...

The outcome of interest was admission directly to a long‐term care setting as the new place of residence at hospital discharge, excluding admissions to long‐term care after an interval or instances in which the outcome was evaluated at a fixed follow‐up point after discharge because changes in residence could have occurred in the interim.

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Assessment of Machine Learning vs Standard Prediction ...

The HOSPITAL score was calculated at discharge using 7 variables (hemoglobin level, discharge from an oncology service, sodium level, procedure during the index admission, index type of admission, number of admissions during the past 12 months, and length of stay) to categorize patients as low, medium, or high risk.

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