Stephane Meystre elected Fellow of ACMI
The American College of Medical Informatics (ACMI) elected Stephane Meystre as new Fellow this year, a great honor introduced with humour during the annual ACMI reception in November 2016.
Faces of AMIA features Stephane Meystre
The American Medical Informatics Association features a member they think represents a good example for their membership, as “faces of AMIA“, and in October 2016, it was Stephane Meystre (detailed article here).
Congestive heart failure information extraction framework for automated treatment performance measures assessment
Meystre, S. M., Kim, Y., Gobbel, G. T., Matheny, M. E., Redd, A., Bray, B. E., & Garvin, J. H. (2016). Congestive heart failure information extraction framework for automated treatment performance measures assessment. J Am Med Inform...
Stephane Meystre moves to new academic position
Stephane Meystre moved from the University of Utah to the Medical University of South Carolina (MUSC) and Health Sciences South Carolina in August 2016. He was awarded a SmartState Endowed Chair in Translational Biomedical Informatics...
New grant awarded by NIGMS
The National Institute for General Medical Sciences (NIGMS) awarded a technology transfer grant to Clinacuity, Inc., for Clinical Text Automatic De- Identification to Support Large Scale Data Reuse and Sharing. This project will be realized in...
Adapting Existing Natural Language Processing Resources for Cardiovascular Risk Factors Identification in Clinical Notes
Khalifa A, Meystre SM (2015). Adapting Existing Natural Language Processing Resources for Cardiovascular Risk Factors Identification in Clinical Notes. J Biomed Inform, 58(S), 128-132.
De-identification of Unstructured Clinical Data for Patient Privacy Protection
Meystre SM (2015). De-identification of Unstructured Clinical Data for Patient Privacy Protection. In Gkoulalas-Divanis A, Loukides G (Eds.), Medical Data Privacy Handbook (pp. 697-716). Springer.
State of the Art of Clinical Narrative Report De-Identification and Its Future panel
Peter Szolovits, John Aberdeen, Stephane Meystre, Mehmet Kayaalp (2015). State of the Art of Clinical Narrative Report De-Identification and Its Future. AMIA Annu Symp Proc, San Francisco, CA.
Improving Detection of Reasons Not to Take a Medication by Leveraging Medication Prescription Status
Kim,Y, Garvin J, Heavirland J, Meystre S (2015). Improving Detection of Reasons Not to Take a Medication by Leveraging Medication Prescription Status. AMIA Annu Symp Proc, San Francisco, CA, 1528.
eHealth-Enabled Clinical Data Reuse workshop
Meystre,SM, Lovis,C, Prokosch,HU, Mykkanen J, Hripcsak,G, Burkle,T, Lehmann,C (2015). eHealth-Enabled Clinical Data Reuse. Medinfo 2015, São Paulo, Brazil. Workshop website
Heart Failure Medications Detection and Prescription Status Classification in Clinical Narrative Documents
Meystre,S.M., Kim,Y., Heavirland,J., Williams,J., Bray,B.E., Garvin,J.H (2015). Heart Failure Medications Detection and Prescription Status Classification in Clinical Narrative Documents. Stud Health Technol Inform, 216, 609-13. Download
Classification of Contextual Use of Left Ventricular Ejection Fraction Assessments
Kim,Y., Garvin,J., Goldstein,M.K., Meystre,S.M (2015). Classification of Contextual Use of Left Ventricular Ejection Fraction Assessments. Stud Health Technol Inform, 216, 599-603. Download
Automated concept and relationship extraction for the Semi-Automated Ontology Management (SEAM) System
Kristina Doing-Harris, Yarden Livnat, Stephane Meystre (2015). Automated concept and relationship extraction for the Semi-Automated Ontology Management (SEAM) System. Journal of Biomedical Semantics, 6(15). Download
New website
The new Meystre Lab website is online, replacing an old and outdated collection of webpages. Welcome!
Can Physicians Recognize Their Own Patients in De-identified Notes?
Meystre S, Shen S, Hofmann D, Gundlapali A (2014). Can Physicians Recognize Their Own Patients in De-identified Notes? Stud Health Technol Inform, 205, 778-82.