Michael Matheny, MD, MPH
Associate Professor of Biomedical Informatics
Vanderbilt University
Michael E. Matheny, MD, MS, MPH, is a practicing general internist and medical informatician, Associate Director of the TVHS VA Biomedical Informatics Fellowship, and Associate Professor of Bioinformatics, Medicine, and Biostatistics at Vanderbilt University Medical Center. He recently completed a five-year VA HSR&D Career Development Award, and is currently supported by grant and contract funding from VA HSR&D, NHLBI, PCORI, and Astra Zeneca. He has expertise in developing and adapting methods for post-marketing medical device surveillance, and has been involved in the development, evaluation, and validation of automated outcome surveillance statistical methods and computer applications. He is leading the OMOP extract, transform, and load team within VINCI for the national VHA data, and is multiple PI for the pScanner CDRN led by Lucila Ohno-Machado. He is currently developing analytic tools using the OMOP CDM, and his other areas of research include natural language processing and health services research in acute kidney injury, diabetes, and device safety in interventional cardiology.
Matheny ME, Ohno-Machado L, Resnic FS. Monitoring Device Safety in Interventional Cardiology. J Am Med Inform Assoc. 2006;13(2):180-7. PMID: 16357356
Matheny ME, Resnic FS, Arora N, Ohno-Machado L. Effects of SVM Tuning and Kernel Selection on Discrimination and Calibration for Post-Procedural PCI Mortality. J. Biomed. Inform. 2007;40:688-97. PMID: 17600771
Matheny ME, Arora N, Ohno-Machado L, Resnic FS. Rare Adverse Event Monitoring of Medical Devices with the Use of an Automated Surveillance Tool. AMIA Annu Symp Proc. 2007;518-22. PMID: 18693890
Matheny ME, Ohno-Machado L, Resnic FS. Risk-Adjusted SPRT Control Chart Methods for Monitoring Operator and Institutional Mortality Rates in Interventional Cardiology. Am Heart J. 2008;155(1):114-20. PMID: 18082501
Matheny ME, Morrow DA, Ohno-Machado L, Cannon CP, Sabatine MS, Resnic FS. Validation of an Automated Safety Surveillance System with Prospective, Randomized Trial Data. Med. Decis. Making. 2009 Mar-Apr;29(2):247-56. PMID: 19015285
Matheny ME, FitzHenry F, Speroff T, Murff H, Brown S, Fielstein E, Dittus R, Elkin P. Detection of Blood Culture Bacterial Contamination using Natural Language Processing AMIA Annu Symp Proc 2009, 411-415. PMID: 20351890
Matheny ME, Miller RA, Ikizler A, Waitman LR, Denny JC, Schildcrout JS, Dittus RS, Peterson JF. Development of Inpatient Risk Stratification Models of Acute Kidney Injury for Use in Electronic Health Records. Medical Decision Making 2010 Nov-Dec;30(6):639-50. PMID: 20354229
Resnic FS, Gross TP, Marinac-Dabic D, Loyo-Berrios N, Donnelly S, Normand ST, Matheny ME. Automated Surveillance to Detect Post-Procedure Safety Signals of Approved Medical Devices. JAMA. 2010 Nov;304(18):2019-27. PMID: 21063011
Matheny ME, Normand ST, Gross TP, Marinac-Dabic D, Loyo-Berrios N, Venkatesan V, Donnelly S, Resnic FS. Validation of an Automated Safety Surveillance System using Risk Adjusted Sequential Probability Ratio Testing. BMC Med. Inform. Decis. Mak. 2011 Dec;11:75.
Reeves RM, FitzHenry F, Brown SH, Kotter K, Gobbel GT, Montella D, Murff H, Speroff T, Matheny ME. Who Said It? Establishing Professional Attribution among Authors of Veterans’ Electronic Health Records. AMIA Annu. Symp. Proc. 2012; 753-762.
Gobbel GT, Garvin J, Reeves R, Cronin R, Heavirland J, Willams J, Weaver A, Jayaramaraja S, Guise D, Speroff T, Brown S, Matheny ME. Assisted Annotation of Medical Free Text Using RapTAT. JAMIA 2013; Accepted
