Focusing on informatics education.
Author(s): Fenton, Susan H, Tremblay, Monica Chiarini, Lehmann, Harold P
DOI: 10.1093/jamia/ocw094
Author(s): Fenton, Susan H, Tremblay, Monica Chiarini, Lehmann, Harold P
DOI: 10.1093/jamia/ocw094
Since the launch of the clinical informatics subspecialty for physicians in 2013, over 1100 physicians have used the practice and education pathways to become board-certified in clinical informatics. Starting in 2018, only physicians who have completed a 2-year clinical informatics fellowship program accredited by the Accreditation Council on Graduate Medical Education will be eligible to take the board exam. The purpose of this viewpoint piece is to describe the collective [...]
Author(s): Longhurst, Christopher A, Pageler, Natalie M, Palma, Jonathan P, Finnell, John T, Levy, Bruce P, Yackel, Thomas R, Mohan, Vishnu, Hersh, William R
DOI: 10.1093/jamia/ocv209
Genomic profiling information is frequently available to oncologists, enabling targeted cancer therapy. Because clinically relevant information is rapidly emerging in the literature and elsewhere, there is a need for informatics technologies to support targeted therapies. To this end, we have developed a system for Automated Identification of Molecular Effects of Drugs, to help biomedical scientists curate this literature to facilitate decision support.
Author(s): Fathiamini, Safa, Johnson, Amber M, Zeng, Jia, Araya, Alejandro, Holla, Vijaykumar, Bailey, Ann M, Litzenburger, Beate C, Sanchez, Nora S, Khotskaya, Yekaterina, Xu, Hua, Meric-Bernstam, Funda, Bernstam, Elmer V, Cohen, Trevor
DOI: 10.1093/jamia/ocw030
To illustrate an in silico integration of epidemiologic and genetic evidence that is being developed at the Center for Devices and Radiological Health/US Food and Drug Administration as part of regulatory research on postmarket device performance. In addition to using conventional epidemiologic evidence from registries, this innovative approach explores the vast potential of open-access omics databases for identifying genetic evidence pertaining to devices.
Author(s): Torosyan, Yelizaveta, Hu, Yuzhi, Hoffman, Sarah, Luo, Qianlai, Carleton, Bruce, Marinac-Dabic, Danica
DOI: 10.1093/jamia/ocw031
To move beyond a select few genes/drugs, the successful adoption of pharmacogenomics into routine clinical care requires a curated and machine-readable database of pharmacogenomic knowledge suitable for use in an electronic health record (EHR) with clinical decision support (CDS). Recognizing that EHR vendors do not yet provide a standard set of CDS functions for pharmacogenetics, the Clinical Pharmacogenetics Implementation Consortium (CPIC) Informatics Working Group is developing and systematically incorporating a [...]
Author(s): Hoffman, James M, Dunnenberger, Henry M, Kevin Hicks, J, Caudle, Kelly E, Whirl Carrillo, Michelle, Freimuth, Robert R, Williams, Marc S, Klein, Teri E, Peterson, Josh F
DOI: 10.1093/jamia/ocw027
Precision oncology increasingly utilizes molecular profiling of tumors to determine treatment decisions with targeted therapeutics. The molecular profiling data is valuable in the treatment of individual patients as well as for multiple secondary uses.
Author(s): Rioth, Matthew J, Thota, Ramya, Staggs, David B, Johnson, Douglas B, Warner, Jeremy L
DOI: 10.1093/jamia/ocw002
Precision cancer medicine (PCM) will require ready access to genomic data within the clinical workflow and tools to assist clinical interpretation and enable decisions. Since most electronic health record (EHR) systems do not yet provide such functionality, we developed an EHR-agnostic, clinico-genomic mobile app to demonstrate several features that will be needed for point-of-care conversations.
Author(s): Warner, Jeremy L, Rioth, Matthew J, Mandl, Kenneth D, Mandel, Joshua C, Kreda, David A, Kohane, Isaac S, Carbone, Daniel, Oreto, Ross, Wang, Lucy, Zhu, Shilin, Yao, Heming, Alterovitz, Gil
DOI: 10.1093/jamia/ocw015
Clinical trials investigating drugs that target specific genetic alterations in tumors are important for promoting personalized cancer therapy. The goal of this project is to create a knowledge base of cancer treatment trials with annotations about genetic alterations from ClinicalTrials.gov.
Author(s): Xu, Jun, Lee, Hee-Jin, Zeng, Jia, Wu, Yonghui, Zhang, Yaoyun, Huang, Liang-Chin, Johnson, Amber, Holla, Vijaykumar, Bailey, Ann M, Cohen, Trevor, Meric-Bernstam, Funda, Bernstam, Elmer V, Xu, Hua
DOI: 10.1093/jamia/ocw009
Development of computational approaches and tools to effectively integrate multidomain data is urgently needed for the development of newly targeted cancer therapeutics.
Author(s): Cheng, Feixiong, Zhao, Junfei, Fooksa, Michaela, Zhao, Zhongming
DOI: 10.1093/jamia/ocw007
To understand how consumer questions on online resources differ from questions asked by professionals, and how such consumer questions differ across resources.
Author(s): Roberts, Kirk, Demner-Fushman, Dina
DOI: 10.1093/jamia/ocw024