President's column: operational informatics--expanding the scope of our discipline.
Author(s): Fickenscher, Kevin
DOI: 10.1136/amiajnl-2013-002170
Author(s): Fickenscher, Kevin
DOI: 10.1136/amiajnl-2013-002170
The integration and visualization of multimodal datasets is a common challenge in biomedical informatics. Several recent studies of The Cancer Genome Atlas (TCGA) data have illustrated important relationships between morphology observed in whole-slide images, outcome, and genetic events. The pairing of genomics and rich clinical descriptions with whole-slide imaging provided by TCGA presents a unique opportunity to perform these correlative studies. However, better tools are needed to integrate the vast [...]
Author(s): Gutman, David A, Cobb, Jake, Somanna, Dhananjaya, Park, Yuna, Wang, Fusheng, Kurc, Tahsin, Saltz, Joel H, Brat, Daniel J, Cooper, Lee A D
DOI: 10.1136/amiajnl-2012-001469
Visual information is a crucial aspect of medical knowledge. Building a comprehensive medical image base, in the spirit of the Unified Medical Language System (UMLS), would greatly benefit patient education and self-care. However, collection and annotation of such a large-scale image base is challenging.
Author(s): Chen, Yang, Ren, Xiaofeng, Zhang, Guo-Qiang, Xu, Rong
DOI: 10.1136/amiajnl-2012-001380
To compare the manifestations, mechanisms, and rates of system-related errors associated with two electronic prescribing systems (e-PS). To determine if the rate of system-related prescribing errors is greater than the rate of errors prevented.
Author(s): Westbrook, Johanna I, Baysari, Melissa T, Li, Ling, Burke, Rosemary, Richardson, Katrina L, Day, Richard O
DOI: 10.1136/amiajnl-2013-001745
Patient-provider relationships influence diabetes care; less is known about their impact on online patient portal use. Diabetes patients rated provider communication and trust. In this study, we linked responses to electronic medical record data on being a registered portal user and using secure messaging (SM). We specified regression models to evaluate main effects on portal use, and subgroup analyses by race/ethnicity and age. 52% of subjects were registered users; among [...]
Author(s): Lyles, Courtney R, Sarkar, Urmimala, Ralston, James D, Adler, Nancy, Schillinger, Dean, Moffet, Howard H, Huang, Elbert S, Karter, Andrew J
DOI: 10.1136/amiajnl-2012-001567
To review, categorize, and synthesize findings from the literature about the application of health information technologies in geriatrics and gerontology (GGHIT).
Author(s): Vedel, Isabelle, Akhlaghpour, Saeed, Vaghefi, Isaac, Bergman, Howard, Lapointe, Liette
DOI: 10.1136/amiajnl-2013-001705
The integration of electronic health records (EHRs) across care settings including residential care facilities (RCFs) promises to reduce medical errors and improve coordination of services. Using data from the 2010 National Survey of Residential Care Facilities (n=2302), this study examines the association between facility structural characteristics and the use of EHRs in RCFs. Findings indicate that in 2010, only 3% of RCFs nationwide were using an EHR. However, 55% of [...]
Author(s): Holup, Amanda A, Dobbs, Debra, Meng, Hongdao, Hyer, Kathryn
DOI: 10.1136/amiajnl-2012-001564
This study shows the evolution of a biomedical observation dictionary within the Assistance Publique Hôpitaux Paris (AP-HP), the largest European university hospital group. The different steps are detailed as follows: the dictionary creation, the mapping to logical observation identifier names and codes (LOINC), the integration into a multiterminological management platform and, finally, the implementation in the health information system.
Author(s): Vandenbussche, Pierre-Yves, Cormont, Sylvie, André, Christophe, Daniel, Christel, Delahousse, Jean, Charlet, Jean, Lepage, Eric
DOI: 10.1136/amiajnl-2012-001410
To explore the feasibility of a novel approach using an augmented one-class learning algorithm to model in-laboratory complications of percutaneous coronary intervention (PCI).
Author(s): Lee, Gyemin, Gurm, Hitinder S, Syed, Zeeshan
DOI: 10.1136/amiajnl-2012-001588
Biomarkers for subtyping triple negative breast cancer (TNBC) are needed given the absence of responsive therapy and relatively poor prediction of survival. Morphology of cancer tissues is widely used in clinical practice for stratifying cancer patients, while genomic data are highly effective to classify cancer patients into subgroups. Thus integration of both morphological and genomic data is a promising approach in discovering new biomarkers for cancer outcome prediction. Here we [...]
Author(s): Wang, Chao, Pécot, Thierry, Zynger, Debra L, Machiraju, Raghu, Shapiro, Charles L, Huang, Kun
DOI: 10.1136/amiajnl-2012-001538