Kenneth David Mandl, MD

Kenneth Mandl, MD

Donald A.B. Lindberg Professor of Pediatrics, Boston Children’s Hospital
Director, Computational Health Informatics Program, Boston Children's Hospital
Professor of Biomedical Informatics, Harvard Medical School (Secondary)
Computational Health Informatics Program (CHIP)

Kenneth Mandl, whose clinical training and experience is in pediatrics and pediatric emergency medicine, is Director of the Boston Children’s Hospital Computational Health Informatics Program (CHIP). He was a founding member of the Center for Biomedical Informatics, where he has been the PI or Co-PI of several grant funded projects, including the transformative SMART Platforms initiative to design the "app store for health" and the Accessible Research Commons for Health (ARCH) across Boston hospitals and nationally. Mandl received his MD from Harvard Medical School, his MPH from the Harvard School of Public Health and his clinical training from BCH, where he also did back-to-back fellowships in Clinical Effectiveness and Medical Informatics.

What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask.
Authors: Kohane IS, Aronow BJ, Avillach P, Beaulieu-Jones BK, Bellazzi R, Bradford RL, Brat GA, Cannataro M, Cimino JJ, García-Barrio N, Gehlenborg N, Ghassemi M, Gutiérrez-Sacristán A, Hanauer DA, Holmes JH, Hong C, Klann JG, Loh NHW, Luo Y, Mandl KD, Daniar M, Moore JH, Murphy SN, Neuraz A, Ngiam KY, Omenn GS, Palmer N, Patel LP, Pedrera-Jiménez M, Sliz P, South AM, Tan ALM, Taylor DM, Taylor BW, Torti C, Vallejos AK, Wagholikar KB, Weber GM, Cai T.
J Med Internet Res
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A proposal for shoring up Federal Trade Commission protections for electronic health record-connected consumer apps under 21st Century Cures.
Authors: Sayeed R, Jones J, Gottlieb D, Mandel JC, Mandl KD.
J Am Med Inform Assoc
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International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study.
Authors: Weber GM, Hong C, Palmer NP, Avillach P, Murphy SN, Gutiérrez-Sacristán A, Xia Z, Serret-Larmande A, Neuraz A, Omenn GS, Visweswaran S, Klann JG, South AM, Loh NHW, Cannataro M, Beaulieu-Jones BK, Bellazzi R, Agapito G, Alessiani M, Aronow BJ, Bell DS, Bellasi A, Benoit V, Beraghi M, Boeker M, Booth J, Bosari S, Bourgeois FT, Brown NW, Bucalo M, Chiovato L, Chiudinelli L, Dagliati A, Devkota B, DuVall SL, Follett RW, Ganslandt T, García Barrio N, Gradinger T, Griffier R, Hanauer DA, Holmes JH, Horki P, Huling KM, Issitt RW, Jouhet V, Keller MS, Kraska D, Liu M, Luo Y, Lynch KE, Malovini A, Mandl KD, Mao C, Maram A, Matheny ME, Maulhardt T, Mazzitelli M, Milano M, Moore JH, Morris JS, Morris M, Mowery DL, Naughton TP, Ngiam KY, Norman JB, Patel LP, Pedrera Jimenez M, Ramoni RB, Schriver ER, Scudeller L, Sebire NJ, Serrano Balazote P, Spiridou A, Tan AL, Tan BW, Tibollo V, Torti C, Trecarichi EM, Vitacca M, Zambelli A, Zucco C, Kohane IS, Cai T, Brat GA.
medRxiv
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GenoPheno: cataloging large-scale phenotypic and next-generation sequencing data within human datasets.
Authors: Gutiérrez-Sacristán A, De Niz C, Kothari C, Kong SW, Mandl KD, Avillach P.
Brief Bioinform
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Privacy protections to encourage use of health-relevant digital data in a learning health system.
Authors: McGraw D, Mandl KD.
NPJ Digit Med
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The 21st Century Cures Act: A Competitive Apps Market and the Risk of Innovation Blocking.
Authors: Gordon WJ, Mandl KD.
J Med Internet Res
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Push Button Population Health: The SMART/HL7 FHIR Bulk Data Access Application Programming Interface.
Authors: Mandl KD, Gottlieb D, Mandel JC, Ignatov V, Sayeed R, Grieve G, Jones J, Ellis A, Culbertson A.
NPJ Digit Med
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Claims-Based Algorithms for Identifying Patients With Pulmonary Hypertension: A Comparison of Decision Rules and Machine-Learning Approaches.
Authors: Ong MS, Klann JG, Lin KJ, Maron BA, Murphy SN, Natter MD, Mandl KD.
J Am Heart Assoc
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The role of environmental factors on transmission rates of the COVID-19 outbreak: an initial assessment in two spatial scales.
Authors: Poirier C, Luo W, Majumder MS, Liu D, Mandl KD, Mooring TA, Santillana M.
Sci Rep
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Adverse drug event presentation and tracking (ADEPT): semiautomated, high throughput pharmacovigilance using real-world data.
Authors: Geva A, Stedman JP, Manzi SF, Lin C, Savova GK, Avillach P, Mandl KD.
JAMIA Open
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