Enhancement of claims data to improve risk adjustment of hospital mortality. - Wikidata - awgldk - TriplyDB

Enhancement of claims data to improve risk adjustment of hospital mortality.

Enhancement of claims data to improve risk adjustment of hospital mortality.

http://www.wikidata.org/entity/Q31089504

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Infection related never events in pediatric patients undergoing spinal fusion procedures in United States: prevalence and predictors Data and methods to facilitate delivery system reform: harnessing collective intelligence to learn from positive deviance Use of routine hospital morbidity data together with weight and height of patients to predict in-hospital complications following total joint replacement Accuracy of administrative data versus clinical data to evaluate carotid endarterectomy and carotid stenting.Improving the performance of risk-adjusted mortality modeling for colorectal cancer surgery by combining claims data and clinical data.Global comparators project: international comparison of hospital outcomes using administrative data Mining high-dimensional administrative claims data to predict early hospital readmissions Using electronic health record data to develop inpatient mortality predictive model: Acute Laboratory Risk of Mortality Score (ALaRMS).Using highly detailed administrative data to predict pneumonia mortality.Variation in the recording of common health conditions in routine hospital data: study using linked survey and administrative data in New South Wales, Australia.Using clinical variables and drug prescription data to control for confounding in outcome comparisons between hospitals.Utilizing national patient-register data to control for comorbidity in prognostic studies.[The validity of routine data on quality assurance: A qualitative systematic review].Capturing diagnosis-timing in ICD-coded hospital data: recommendations from the WHO ICD-11 topic advisory group on quality and safety Risk-Adjusted In-Hospital Mortality Models for Congestive Heart Failure and Acute Myocardial Infarction: Value of Clinical Laboratory Data and Race/Ethnicity.Enhancing Clinical Content and Race/Ethnicity Data in Statewide Hospital Administrative Databases: Obstacles Encountered, Strategies Adopted, and Lessons Learned.A Practical, Global Perspective on Using Administrative Data to Conduct Intensive Care Unit Research.Statewide Hospital Discharge Data: Collection, Use, Limitations, and Improvements Increased Mortality for Elective Surgery during Summer Vacation: A Longitudinal Analysis of Nationwide Data Adding Laboratory Data to Hospital Claims Data to Improve Risk Adjustment of Inpatient/30-Day Postdischarge Outcomes.Differences in severity at admission for heart failure between rural and urban patients: the value of adding laboratory results to administrative data.Risk-adjustment models for heart failure patients' 30-day mortality and readmission rates: the incremental value of clinical data abstracted from medical charts beyond hospital discharge record Comparing routine administrative data with registry data for assessing quality of hospital care in patients with myocardial infarction using deterministic record linkage Does adding clinical data to administrative data improve agreement among hospital quality measures?Validity of diagnoses, procedures, and laboratory data in Japanese administrative data Nurse staffing and patient outcomes in Belgian acute hospitals: cross-sectional analysis of administrative data.Impact of date stamping on patient safety measurement in patients undergoing CABG: experience with the AHRQ Patient Safety Indicators.Development of a validation algorithm for 'present on admission' flagging Development and validation of a disease-specific risk adjustment system using automated clinical data Organizational determinants of hospital end-of-life treatment intensity ISS mapped from ICD-9-CM by a novel freeware versus traditional coding: a comparative study.Variation in surgical-readmission rates and quality of hospital care.The Elixhauser comorbidity method outperforms the Charlson index in predicting inpatient death after orthopaedic surgery.Improved accuracy of co-morbidity coding over time after the introduction of ICD-10 administrative data.The Procedural Index for Mortality Risk (PIMR): an index calculated using administrative data to quantify the independent influence of procedures on risk of hospital death Survival after acute hemodialysis in Pennsylvania, 2005-2007: a retrospective cohort study Federating clinical data from six pediatric hospitals: process and initial results from the PHIS+ Consortium.P.Re.Val.E.: outcome research program for the evaluation of health care quality in Lazio, Italy.Mortality after hospitalization with mild, moderate, and severe hyponatremia.Patient satisfaction and quality of surgical care in US hospitals.

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P2860

Enhancement of claims data to improve risk adjustment of hospital mortality.

http://www.wikidata.org/entity/Q31089504

description

2007 nî lūn-bûn

@nan

2007 թուականի Յունուարին հրատարակուած գիտական յօդուած

@hyw

2007 թվականի հունվարին հրատարակված գիտական հոդված

@hy

2007年の論文

@ja

2007年論文

@yue

2007年論文

@zh-hant

2007年論文

@zh-hk

2007年論文

@zh-mo

2007年論文

@zh-tw

2007年论文

@wuu

name

Enhancement of claims data to improve risk adjustment of hospital mortality.

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Enhancement of claims data to improve risk adjustment of hospital mortality.

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type

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Enhancement of claims data to improve risk adjustment of hospital mortality.

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Enhancement of claims data to improve risk adjustment of hospital mortality.

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prefLabel

Enhancement of claims data to improve risk adjustment of hospital mortality.

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Enhancement of claims data to improve risk adjustment of hospital mortality.

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Journal of the American Medical Association

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Enhancement of claims data to improve risk adjustment of hospital mortality.

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P2093

Anne Elixhauser

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Barbara Jones

http://www.w3.org/2001/XMLSchema#string

David C Hoaglin

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David Warner

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Donald E Fry

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Harmon S Jordan

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Junius Gonzales

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Michael Pine

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Roger Meimban

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71-76

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scholarly article

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10.1001/JAMA.297.1.71

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1

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297

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2007-01-01T00:00:00Z

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6601351

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17200477

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