Health IT and clinical decision support systems: human factors and successful adoption.
Author(s): Ohno-Machado, L
DOI: 10.1136/amiajnl-2014-003279
Author(s): Ohno-Machado, L
DOI: 10.1136/amiajnl-2014-003279
The Secretary of Health and Human Services (HHS) acting through the Food and Drug Administration (FDA), and in collaboration with the Federal Communications Commission (FCC) and Office of the National Coordinator for Health IT (ONC) was tasked with delivering a report on an appropriate, risk-based regulatory framework for health information technology (IT). An expert stakeholder group was established under the auspices of the Health IT Policy Committee to help provide [...]
Author(s): Slight, Sarah P, Bates, David W
DOI: 10.1136/amiajnl-2014-002638
To evaluate attitudes regarding privacy of genomic data in a sample of patients with breast cancer.
Author(s): Rogith, Deevakar, Yusuf, Rafeek A, Hovick, Shelley R, Peterson, Susan K, Burton-Chase, Allison M, Li, Yisheng, Meric-Bernstam, Funda, Bernstam, Elmer V
DOI: 10.1136/amiajnl-2013-002579
Health information technology (HIT) can increase preventive care. There are hopes and fears about the impact of HIT on racial disparities in cancer screening.
Author(s): Mishuris, Rebecca G, Linder, Jeffrey A
DOI: 10.1136/amiajnl-2013-002439
The objective was to assess use of a physician handoff tool embedded in the electronic medical record by nurses and other non-physicians. We administered a survey to nurses, physical therapists, discharge planners, social workers, and others to assess integration into daily practice, usefulness, and accuracy of the handoff tool. 231 individuals (61% response) participated. 60% used the tool often or usually/always during a shift. Nurses (46%) used the tool for [...]
Author(s): Schuster, Kevin M, Jenq, Grace Y, Thung, Stephen F, Hersh, David C, Nunes, Judy, Silverman, David G, Horwitz, Leora I
DOI: 10.1136/amiajnl-2013-002361
To determine the sensitivity and specificity of a dosing alert system for dosing errors and to compare the sensitivity of a proprietary system with and without institutional customization at a pediatric hospital.
Author(s): Stultz, Jeremy S, Porter, Kyle, Nahata, Milap C
DOI: 10.1136/amiajnl-2013-002161
Electronic health records possess critical predictive information for machine-learning-based diagnostic aids. However, many traditional machine learning methods fail to simultaneously integrate textual data into the prediction process because of its high dimensionality. In this paper, we present a supervised method using Laplacian Eigenmaps to enable existing machine learning methods to estimate both low-dimensional representations of textual data and accurate predictors based on these low-dimensional representations at the same time.
Author(s): Perry, Thomas Ernest, Zha, Hongyuan, Zhou, Ke, Frias, Patricio, Zeng, Dadan, Braunstein, Mark
DOI: 10.1136/amiajnl-2013-001792
Information technology (IT) plays a pivotal role in improving patient safety, but can also cause new problems for patient safety. This study analyzed the nature and consequences of a large sample of IT-related medication incidents, as reported by healthcare professionals in community pharmacies and hospitals.
Author(s): Cheung, Ka-Chun, van der Veen, Willem, Bouvy, Marcel L, Wensing, Michel, van den Bemt, Patricia M L A, de Smet, Peter A G M
DOI: 10.1136/amiajnl-2013-001818
The intersection of electronic health records (EHR) and patient safety is complex. To examine the applicability of two previously developed conceptual models comprehensively to understand safety implications of EHR implementation in the English National Health Service (NHS).
Author(s): Meeks, Derek W, Takian, Amirhossein, Sittig, Dean F, Singh, Hardeep, Barber, Nick
DOI: 10.1136/amiajnl-2013-001762
Little has been written about physician stress that may be associated with electronic medical records (EMR).
Author(s): Babbott, Stewart, Manwell, Linda Baier, Brown, Roger, Montague, Enid, Williams, Eric, Schwartz, Mark, Hess, Erik, Linzer, Mark
DOI: 10.1136/amiajnl-2013-001875