Update on informatics-focused certification and accreditation activities.
Author(s): Fridsma, Douglas B
DOI: 10.1093/jamia/ocv023
Author(s): Fridsma, Douglas B
DOI: 10.1093/jamia/ocv023
The longitudinal effects of electronic health records (EHRs) on ambulatory quality are not clear. It is not known whether adoption and meaningful use of EHRs result in a brief period of quality improvement that then plateaus, or whether with ongoing use quality improvement continues. We studied health care quality at six sites of a Federally Qualified Health Center in New York State over 3 years (2008-2010) for 25 290 unique patients [...]
Author(s): Kern, Lisa M, Edwards, Alison M, Pichardo, Michelle, Kaushal, Rainu
DOI: 10.1093/jamia/ocu049
Author(s): Caban, Jesus J, Gotz, David
DOI: 10.1093/jamia/ocv006
Electronic medical record (EMR) systems have the potential of supporting clinical work by providing the right information at the right time to the right people and thus make efficient use of resources. This is especially important in low-resource settings where reliable data are also needed to support public health and local supporting organizations. In this systematic literature review, our objectives are to identify and collect literature about success criteria of [...]
Author(s): Fritz, Fleur, Tilahun, Binyam, Dugas, Martin
DOI: 10.1093/jamia/ocu038
We determined adoption rates of pediatric-oriented electronic health record (EHR) features by US children's hospitals and assessed perceptions regarding the suitability of commercial EHRs for pediatric care and the influence of the meaningful use incentive program on implementation of pediatric-oriented features.
Author(s): Nakamura, Mari M, Harper, Marvin B, Castro, Allan V, Yu, Feliciano B, Jha, Ashish K
DOI: 10.1093/jamia/ocu045
Cancer can involve gene dysregulation via multiple mechanisms, so no single level of genomic data fully elucidates tumor behavior due to the presence of numerous genomic variations within or between levels in a biological system. We have previously proposed a graph-based integration approach that combines multi-omics data including copy number alteration, methylation, miRNA, and gene expression data for predicting clinical outcome in cancer. However, genomic features likely interact with other [...]
Author(s): Kim, Dokyoon, Joung, Je-Gun, Sohn, Kyung-Ah, Shin, Hyunjung, Park, Yu Rang, Ritchie, Marylyn D, Kim, Ju Han
DOI: 10.1136/amiajnl-2013-002481
Pooling data across biobanks is necessary to increase statistical power, reveal more subtle associations, and synergize the value of data sources. However, searching for desired data elements among the thousands of available elements and harmonizing differences in terminology, data collection, and structure, is arduous and time consuming.
Author(s): Pang, Chao, Hendriksen, Dennis, Dijkstra, Martijn, van der Velde, K Joeri, Kuiper, Joel, Hillege, Hans L, Swertz, Morris A
DOI: 10.1136/amiajnl-2013-002577
To propose a new approach to privacy preserving data selection, which helps the data users access human genomic datasets efficiently without undermining patients' privacy.
Author(s): Zhao, Yongan, Wang, Xiaofeng, Jiang, Xiaoqian, Ohno-Machado, Lucila, Tang, Haixu
DOI: 10.1136/amiajnl-2014-003043
The clinical note documents the clinician's information collection, problem assessment, clinical management, and its used for administrative purposes. Electronic health records (EHRs) are being implemented in clinical practices throughout the USA yet it is not known whether they improve the quality of clinical notes. The goal in this study was to determine if EHRs improve the quality of outpatient clinical notes.
Author(s): Burke, Harry B, Sessums, Laura L, Hoang, Albert, Becher, Dorothy A, Fontelo, Paul, Liu, Fang, Stephens, Mark, Pangaro, Louis N, O'Malley, Patrick G, Baxi, Nancy S, Bunt, Christopher W, Capaldi, Vincent F, Chen, Julie M, Cooper, Barbara A, Djuric, David A, Hodge, Joshua A, Kane, Shawn, Magee, Charles, Makary, Zizette R, Mallory, Renee M, Miller, Thomas, Saperstein, Adam, Servey, Jessica, Gimbel, Ronald W
DOI: 10.1136/amiajnl-2014-002726
The capability to share data, and harness its potential to generate knowledge rapidly and inform decisions, can have transformative effects that improve health. The infrastructure to achieve this goal at scale--marrying technology, process, and policy--is commonly referred to as the Learning Health System (LHS). Achieving an LHS raises numerous scientific challenges.
Author(s): Friedman, Charles, Rubin, Joshua, Brown, Jeffrey, Buntin, Melinda, Corn, Milton, Etheredge, Lynn, Gunter, Carl, Musen, Mark, Platt, Richard, Stead, William, Sullivan, Kevin, Van Houweling, Douglas
DOI: 10.1136/amiajnl-2014-002977