Shawn Norman Murphy, M.D., Ph.D.

Shawn Murphy, MD, PhD

Professor of Neurology at MGH
Associate Professor of Biomedical Informatics, Harvard Medical School (Secondary)

6177247980

Shawn Murphy currently serves as the Director of Research Computing and Informatics at Partners Healthcare and Associate Director for the Laboratory of Computer Science at the Massachusetts General Hospital where he developed the Research Patient Data Registry (RPDR) for Partners Healthcare. This application, which serves over 5,000 investigators performing research using the hospital medical record, served as the test bed for his work with Zak Kohane in developing the open source Informatics for Integrating Biology and the Bedside (i2b2) software platform now operating at over 120 hospitals worldwide. Murphy’s contribution as chief architect of the i2b2 platform has served to strengthen the understanding of the metabolic and genetic underpinnings of complex diseases by developing an informatics framework to integrate data for clinical research from electronic health records.

External Validation of an Algorithm to Identify Patients with High Data-Completeness in Electronic Health Records for Comparative Effectiveness Research.
Authors: Lin KJ, Rosenthal GE, Murphy SN, Mandl KD, Jin Y, Glynn RJ, Schneeweiss S.
Clin Epidemiol
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Association of Genetic Risk of Obesity with Postoperative Complications Using Mendelian Randomization.
Authors: Robinson JR, Carroll RJ, Bastarache L, Chen Q, Mou Z, Wei WQ, Connolly JJ, Mentch F, Sleiman P, Crane PK, Hebbring SJ, Stanaway IB, Crosslin DR, Gordon AS, Rosenthal EA, Carrell D, Hayes MG, Wei W, Petukhova L, Namjou B, Zhang G, Safarova MS, Walton NA, Still C, Bottinger EP, Loos RJF, Murphy SN, Jackson GP, Kullo IJ, Hakonarson H, Jarvik GP, Larson EB, Weng C, Roden DM, Denny JC.
World J Surg
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Cloud Services for Patient Cohort Identification Using the Informatics for Integrating Biology and the Bedside Platform.
Authors: Wagholikar KB, Joshi SV, Pai Vernekar VV, Ostrovsky Y, Desai SD, Magdum PB, Wakle SB, Jain S, Zagade A, Patel R, Murphy SN.
Biomed Res Int
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Rationale and design of a navigator-driven remote optimization of guideline-directed medical therapy in patients with heart failure with reduced ejection fraction.
Authors: Blood AJ, Fischer CM, Fera LE, MacLean TE, Smith KV, Dunning JR, Bosque-Hamilton JW, Aronson SJ, Gaziano TA, MacRae CA, Matta LS, Mercurio-Pinto AA, Murphy SN, Scirica BM, Wagholikar K, Desai AS.
Clin Cardiol
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High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP).
Authors: Zhang Y, Cai T, Yu S, Cho K, Hong C, Sun J, Huang J, Ho YL, Ananthakrishnan AN, Xia Z, Shaw SY, Gainer V, Castro V, Link N, Honerlaw J, Huang S, Gagnon D, Karlson EW, Plenge RM, Szolovits P, Savova G, Churchill S, O'Donnell C, Murphy SN, Gaziano JM, Kohane I, Cai T, Liao KP.
Nat Protoc
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Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy.
Authors: Weiss RJ, Bates SV, Song Y, Zhang Y, Herzberg EM, Chen YC, Gong M, Chien I, Zhang L, Murphy SN, Gollub RL, Grant PE, Ou Y.
J Transl Med
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High-throughput multimodal automated phenotyping (MAP) with application to PheWAS.
Authors: Liao KP, Sun J, Cai TA, Link N, Hong C, Huang J, Huffman JE, Gronsbell J, Zhang Y, Ho YL, Castro V, Gainer V, Murphy SN, O'Donnell CJ, Gaziano JM, Cho K, Szolovits P, Kohane IS, Yu S, Cai T.
J Am Med Inform Assoc
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Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.
Authors: Shang N, Liu C, Rasmussen LV, Ta CN, Caroll RJ, Benoit B, Lingren T, Dikilitas O, Mentch FD, Carrell DS, Wei WQ, Luo Y, Gainer VS, Kullo IJ, Pacheco JA, Hakonarson H, Walunas TL, Denny JC, Wiley K, Murphy SN, Hripcsak G, Weng C.
J Biomed Inform
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Facilitating phenotype transfer using a common data model.
Authors: Hripcsak G, Shang N, Peissig PL, Rasmussen LV, Liu C, Benoit B, Carroll RJ, Carrell DS, Denny JC, Dikilitas O, Gainer VS, Howell KM, Klann JG, Kullo IJ, Lingren T, Mentch FD, Murphy SN, Natarajan K, Pacheco JA, Wei WQ, Wiley K, Weng C.
J Biomed Inform
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A clustering approach for detecting implausible observation values in electronic health records data.
Authors: Estiri H, Klann JG, Murphy SN.
BMC Med Inform Decis Mak
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