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																		 Connection
 
																		 Co-Authors
																		
																	 
																		This is a "connection" page, showing publications co-authored by   Katy Trinkley   and   Michael Rosenberg.    
																		
																	 
																			
																					
					
					
		
			
			
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					|  | Connection Strength |  |  
					|  |   |  |  
					|  | 2.763 |  |  |  |  
		
		
			
				Trinkley KE, Simon ST, Rosenberg MA. Impact of an Alert-Based Inpatient Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome: Large-Scale, System-Wide Observational Study. J Med Internet Res. 2025 Apr 14; 27:e68256.	
				
				
					Score: 0.963
				
				Trinkley KE, Pell JM, Martinez DD, Maude NR, Hale G, Rosenberg MA. Assessing Prescriber Behavior with a Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome. Appl Clin Inform. 2021 01; 12(1):190-197.	
				
				
					Score: 0.725
				
				Simon ST, Lin M, Trinkley KE, Aleong R, Rafaels N, Crooks KR, Reiter MJ, Gignoux CR, Rosenberg MA. A polygenic risk score for the QT interval is an independent predictor of drug-induced QT prolongation. PLoS One. 2024; 19(6):e0303261.	
				
				
					Score: 0.227
				
				Lowe RN, Wright G, Olivas L, Teel C, Suresh K, Macke LB, Sieja A, Rosenberg MA, Trinkley KE. Evaluating the prescribing and monitoring of medications associated with QTc-prolongation in the ambulatory care setting. J Eval Clin Pract. 2024 04; 30(3):385-392.	
				
				
					Score: 0.219
				
				Kim R, Suresh K, Rosenberg MA, Tan MS, Malone DC, Allen LA, Kao DP, Anderson HD, Tiwari P, Trinkley KE. A machine learning evaluation of patient characteristics associated with prescribing of guideline-directed medical therapy for heart failure. Front Cardiovasc Med. 2023; 10:1169574.	
				
				
					Score: 0.212
				
				Trinkley KE, Dafoe A, Malone DC, Allen LA, Huebschmann A, Khazanie P, Lunowa C, Matlock DC, Suresh K, Rosenberg MA, Swat SA, Sosa A, Morris MA. Clinician challenges to evidence-based prescribing for heart failure and reduced ejection fraction: A qualitative evaluation. J Eval Clin Pract. 2023 12; 29(8):1363-1371.	
				
				
					Score: 0.212
				
				Simon ST, Trinkley KE, Malone DC, Rosenberg MA. Interpretable Machine Learning Prediction of Drug-Induced QT Prolongation: Electronic Health Record Analysis. J Med Internet Res. 2022 12 01; 24(12):e42163.	
				
				
					Score: 0.204
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																					       Connection Strength       
  The connection strength for concepts is the sum of the scores for each matching publication.    
 Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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