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Showing 6131 - 6140 out of 8784
JAMIA Article

Recommendations to improve the usability of drug-drug interaction clinical decision support alerts.

November 1, 2015

To establish preferred strategies for presenting drug-drug interaction (DDI) clinical decision support alerts.

Author(s): Payne, Thomas H, Hines, Lisa E, Chan, Raymond C, Hartman, Seth, Kapusnik-Uner, Joan, Russ, Alissa L, Chaffee, Bruce W, Hartman, Christian, Tamis, Victoria, Galbreth, Brian, Glassman, Peter A, Phansalkar, Shobha, van der Sijs, Heleen, Gephart, Sheila M, Mann, Gordon, Strasberg, Howard R, Grizzle, Amy J, Brown, Mary, Kuperman, Gilad J, Steiner, Chris, Sullins, Amanda, Ryan, Hugh, Wittie, Michael A, Malone, Daniel C

DOI: 10.1093/jamia/ocv011

JAMIA Article

Virtualization of open-source secure web services to support data exchange in a pediatric critical care research network.

November 1, 2015

To examine the feasibility of deploying a virtual web service for sharing data within a research network, and to evaluate the impact on data consistency and quality.

Author(s): Frey, Lewis J, Sward, Katherine A, Newth, Christopher J L, Khemani, Robinder G, Cryer, Martin E, Thelen, Julie L, Enriquez, Rene, Shaoyu, Su, Pollack, Murray M, Harrison, Rick E, Meert, Kathleen L, Berg, Robert A, Wessel, David L, Shanley, Thomas P, Dalton, Heidi, Carcillo, Joseph, Jenkins, Tammara L, Dean, J Michael

DOI: 10.1093/jamia/ocv009

JAMIA Article

Desiderata for computable representations of electronic health records-driven phenotype algorithms.

November 1, 2015

Electronic health records (EHRs) are increasingly used for clinical and translational research through the creation of phenotype algorithms. Currently, phenotype algorithms are most commonly represented as noncomputable descriptive documents and knowledge artifacts that detail the protocols for querying diagnoses, symptoms, procedures, medications, and/or text-driven medical concepts, and are primarily meant for human comprehension. We present desiderata for developing a computable phenotype representation model (PheRM).

Author(s): Mo, Huan, Thompson, William K, Rasmussen, Luke V, Pacheco, Jennifer A, Jiang, Guoqian, Kiefer, Richard, Zhu, Qian, Xu, Jie, Montague, Enid, Carrell, David S, Lingren, Todd, Mentch, Frank D, Ni, Yizhao, Wehbe, Firas H, Peissig, Peggy L, Tromp, Gerard, Larson, Eric B, Chute, Christopher G, Pathak, Jyotishman, Denny, Joshua C, Speltz, Peter, Kho, Abel N, Jarvik, Gail P, Bejan, Cosmin A, Williams, Marc S, Borthwick, Kenneth, Kitchner, Terrie E, Roden, Dan M, Harris, Paul A

DOI: 10.1093/jamia/ocv112

JAMIA Article

Learning from the crowd while mapping to LOINC.

November 1, 2015

To describe the perspectives of Regenstrief LOINC Mapping Assistant (RELMA) users before and after the deployment of Community Mapping features, characterize the usage of these new features, and analyze the quality of mappings submitted to the community mapping repository.

Author(s): Vreeman, Daniel J, Hook, John, Dixon, Brian E

DOI: 10.1093/jamia/ocv098

JAMIA Article

Big biomedical data as the key resource for discovery science.

November 1, 2015

Modern biomedical data collection is generating exponentially more data in a multitude of formats. This flood of complex data poses significant opportunities to discover and understand the critical interplay among such diverse domains as genomics, proteomics, metabolomics, and phenomics, including imaging, biometrics, and clinical data. The Big Data for Discovery Science Center is taking an "-ome to home" approach to discover linkages between these disparate data sources by mining existing [...]

Author(s): Toga, Arthur W, Foster, Ian, Kesselman, Carl, Madduri, Ravi, Chard, Kyle, Deutsch, Eric W, Price, Nathan D, Glusman, Gustavo, Heavner, Benjamin D, Dinov, Ivo D, Ames, Joseph, Van Horn, John, Kramer, Roger, Hood, Leroy

DOI: 10.1093/jamia/ocv077

JAMIA Article

The NIH BD2K center for big data in translational genomics.

November 1, 2015

The world's genomics data will never be stored in a single repository - rather, it will be distributed among many sites in many countries. No one site will have enough data to explain genotype to phenotype relationships in rare diseases; therefore, sites must share data. To accomplish this, the genetics community must forge common standards and protocols to make sharing and computing data among many sites a seamless activity. Through [...]

Author(s): Paten, Benedict, Diekhans, Mark, Druker, Brian J, Friend, Stephen, Guinney, Justin, Gassner, Nadine, Guttman, Mitchell, Kent, W James, Mantey, Patrick, Margolin, Adam A, Massie, Matt, Novak, Adam M, Nothaft, Frank, Pachter, Lior, Patterson, David, Smuga-Otto, Maciej, Stuart, Joshua M, Van't Veer, Laura, Wold, Barbara, Haussler, David

DOI: 10.1093/jamia/ocv047

JAMIA Article

Center of excellence for mobile sensor data-to-knowledge (MD2K).

November 1, 2015

Mobile sensor data-to-knowledge (MD2K) was chosen as one of 11 Big Data Centers of Excellence by the National Institutes of Health, as part of its Big Data-to-Knowledge initiative. MD2K is developing innovative tools to streamline the collection, integration, management, visualization, analysis, and interpretation of health data generated by mobile and wearable sensors. The goal of the big data solutions being developed by MD2K is to reliably quantify physical, biological, behavioral [...]

Author(s): Kumar, Santosh, Abowd, Gregory D, Abraham, William T, al'Absi, Mustafa, Beck, J Gayle, Chau, Duen Horng, Condie, Tyson, Conroy, David E, Ertin, Emre, Estrin, Deborah, Ganesan, Deepak, Lam, Cho, Marlin, Benjamin, Marsh, Clay B, Murphy, Susan A, Nahum-Shani, Inbal, Patrick, Kevin, Rehg, James M, Sharmin, Moushumi, Shetty, Vivek, Sim, Ida, Spring, Bonnie, Srivastava, Mani, Wetter, David W

DOI: 10.1093/jamia/ocv056

JAMIA Article

CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record.

November 1, 2015

Clinicians' ability to use and interpret genetic information depends upon how those data are displayed in electronic health records (EHRs). There is a critical need to develop systems to effectively display genetic information in EHRs and augment clinical decision support (CDS).

Author(s): Shirts, Brian H, Salama, Joseph S, Aronson, Samuel J, Chung, Wendy K, Gray, Stacy W, Hindorff, Lucia A, Jarvik, Gail P, Plon, Sharon E, Stoffel, Elena M, Tarczy-Hornoch, Peter Z, Van Allen, Eliezer M, Weck, Karen E, Chute, Christopher G, Freimuth, Robert R, Grundmeier, Robert W, Hartzler, Andrea L, Li, Rongling, Peissig, Peggy L, Peterson, Josh F, Rasmussen, Luke V, Starren, Justin B, Williams, Marc S, Overby, Casey L

DOI: 10.1093/jamia/ocv065

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