@article {516111,
	title = {Enhancing the Prediction of 30-Day Readmission After Percutaneous Coronary Intervention Using Data Extracted by Querying of the Electronic Health Record},
	journal = {Circ Cardiovasc Qual Outcomes},
	volume = {8},
	number = {5},
	year = {2015},
	month = {2015 Sep},
	pages = {477-85},
	abstract = {BACKGROUND: Early readmission after percutaneous coronary intervention is an important quality metric, but prediction models from registry data have only moderate discrimination. We aimed to improve ability to predict 30-day readmission after percutaneous coronary intervention from a previously validated registry-based model.

METHODS AND RESULTS: We matched readmitted to non-readmitted patients in a 1:2 ratio by risk of readmission, and extracted unstructured and unconventional structured data from the electronic medical record, including need for medical interpretation, albumin level, medical nonadherence, previous number of emergency department visits, atrial fibrillation/flutter, syncope/presyncope, end-stage liver disease, malignancy, and anxiety. We assessed differences in rates of these conditions between cases/controls, and estimated their independent association with 30-day readmission using logistic regression conditional on matched groups. Among 9288 percutaneous coronary interventions, we matched 888 readmitted with 1776 non-readmitted patients. In univariate analysis, cases and controls were significantly different with respect to interpreter (7.9\% for cases and 5.3\% for controls; P=0.009), emergency department visits (1.12 for cases and 0.77 for controls; P,
	keywords = {Aged, Electronic Health Records, Female, Follow-Up Studies, Humans, Incidence, Male, Myocardial Infarction, Patient Readmission, Percutaneous Coronary Intervention, Postoperative Complications, Quality Assurance, Health Care, Retrospective Studies, Risk Assessment, Risk Factors, Time Factors, United States},
	issn = {1941-7705},
	doi = {10.1161/CIRCOUTCOMES.115.001855},
	author = {Wasfy, Jason H and Singal, Gaurav and O{\textquoteright}Brien, Cashel and Blumenthal, Daniel M and Kennedy, Kevin F and Strom, Jordan B and Spertus, John A and Mauri, Laura and Normand, Sharon-Lise T. and Yeh, Robert W}
}
