National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Cardiovascular Conditions (1)
- Comparative Effectiveness (1)
- Data (1)
- Electronic Health Records (EHRs) (1)
- Health Information Exchange (HIE) (1)
- (-) Health Information Technology (HIT) (3)
- Heart Disease and Health (1)
- (-) Hospital Readmissions (3)
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 3 of 3 Research Studies DisplayedSwain MJ, Kharrazi H
Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data.
The researchers conducted a semi-systematic review of readmission predictive factors published prior to March 2013. They found that mapping of these variables with common HL7 segments resulted in an 89.2 percent total coverage, with the DG1 (diagnosis) segment having the highest coverage of 39.4 percent. The PID (patient identification) and OBX (observation results) segments cover 13.9 percent and 9.1 percent of the variables.
AHRQ-funded; HS022578.
Citation: Swain MJ, Kharrazi H .
Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data.
Int J Med Inform 2015 Dec;84(12):1048-56. doi: 10.1016/j.ijmedinf.2015.09.003.
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Keywords: Health Information Exchange (HIE), Hospital Readmissions, Health Information Technology (HIT), Data
Amarasingham R, Velasco F, Xie B
Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models.
The purpose of this study was to evaluate the degree to which electronic medical record-based risk models for 30-day readmission or mortality accurately identify high risk patients and to compare these models with published claims-based models. The researchers found that a new electronic multicondition model based on information derived from the electronic medical record predicted mortality and readmission at 30 days, and was superior to previously published claims-based models
AHRQ-funded; HS022418.
Citation: Amarasingham R, Velasco F, Xie B .
Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models.
BMC Med Inform Decis Mak 2015 May 20;15:39. doi: 10.1186/s12911-015-0162-6.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Mortality, Hospital Readmissions, Risk
Black JT, Romano PS, Sadeghi B
A remote monitoring and telephone nurse coaching intervention to reduce readmissions among patients with heart failure: study protocol for the Better
The objective of this randomized controlled comparative effectiveness study was to evaluate the effectiveness of a care transition intervention that included pre-discharge education about heart failure and post-discharge telephone nurse coaching combined with home telemonitoring of weight, blood pressure, heart rate, and symptoms in reducing all-cause 180-day hospital readmissions for older adults hospitalized with heart failure.
AHRQ-funded; HS019311.
Citation: Black JT, Romano PS, Sadeghi B .
A remote monitoring and telephone nurse coaching intervention to reduce readmissions among patients with heart failure: study protocol for the Better
Trials 2014 Apr 13;15:124. doi: 10.1186/1745-6215-15-124..
Keywords: Cardiovascular Conditions, Comparative Effectiveness, Health Information Technology (HIT), Heart Disease and Health, Hospital Readmissions, Telehealth, Transitions of Care