Focusing on the patient: mHealth, social media, electronic health records, and decision support systems.
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2014-003341
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2014-003341
As healthcare systems and providers move toward meaningful use of electronic health records, longitudinal care plans (LCPs) may provide a means to improve communication and coordination as patients transition across settings. The objective of this study was to determine the current state of communication of LCPs across settings and levels of care.
Author(s): Dykes, Patricia C, Samal, Lipika, Donahue, Moreen, Greenberg, Jeffrey O, Hurley, Ann C, Hasan, Omar, O'Malley, Terrance A, Venkatesh, Arjun K, Volk, Lynn A, Bates, David W
DOI: 10.1136/amiajnl-2013-002454
Intermountain Healthcare has a long history of using coded terminology and detailed clinical models (DCMs) to govern storage of clinical data to facilitate decision support and semantic interoperability. The latest iteration of DCMs at Intermountain is called the clinical element model (CEM). We describe the lessons learned from our CEM efforts with regard to subjective decisions a modeler frequently needs to make in creating a CEM. We present insights and [...]
Author(s): Oniki, Thomas A, Coyle, Joseph F, Parker, Craig G, Huff, Stanley M
DOI: 10.1136/amiajnl-2014-002875
Depression is a prevalent disorder difficult to diagnose and treat. In particular, depressed patients exhibit largely unpredictable responses to treatment. Toward the goal of personalizing treatment for depression, we develop and evaluate computational models that use electronic health record (EHR) data for predicting the diagnosis and severity of depression, and response to treatment.
Author(s): Huang, Sandy H, LePendu, Paea, Iyer, Srinivasan V, Tai-Seale, Ming, Carrell, David, Shah, Nigam H
DOI: 10.1136/amiajnl-2014-002733
Upgrades to electronic health record (EHR) systems scheduled to be introduced in the USA in 2014 will advance document interoperability between care providers. Specifically, the second stage of the federal incentive program for EHR adoption, known as Meaningful Use, requires use of the Consolidated Clinical Document Architecture (C-CDA) for document exchange. In an effort to examine and improve C-CDA based exchange, the SMART (Substitutable Medical Applications and Reusable Technology) C-CDA [...]
Author(s): D'Amore, John D, Mandel, Joshua C, Kreda, David A, Swain, Ashley, Koromia, George A, Sundareswaran, Sumesh, Alschuler, Liora, Dolin, Robert H, Mandl, Kenneth D, Kohane, Isaac S, Ramoni, Rachel B
DOI: 10.1136/amiajnl-2014-002883
Consumers facing barriers to healthcare access may use online health information seeking and online communication with physicians, but the empirical relationship has not been sufficiently analyzed. Our study examines the association of barriers to healthcare access with consumers' health-related information searching on the internet, use of health chat groups, and email communication with physicians, using data from 27,210 adults from the 2009 National Health Interview Survey. Individuals with financial barriers [...]
Author(s): Bhandari, Neeraj, Shi, Yunfeng, Jung, Kyoungrae
DOI: 10.1136/amiajnl-2013-002350
To assess the perceived readiness of Medicaid and Children's Health Insurance Program (CHIP) enrollees to use information technologies (IT) in order to facilitate improvements in the application processes for these public insurance programs.
Author(s): Mishra, Abhay Nath, Ketsche, Patricia, Marton, James, Snyder, Angela, McLaren, Susan
DOI: 10.1136/amiajnl-2014-002716
The study of utilization patterns can quantify potential overuse of laboratory tests and find new ways to reduce healthcare costs. We demonstrate the use of distributional analytics for comparing electronic health record (EHR) laboratory test orders across time to diagnose and quantify overutilization.
Author(s): Pivovarov, Rimma, Albers, David J, Hripcsak, George, Sepulveda, Jorge L, Elhadad, Noémie
DOI: 10.1136/amiajnl-2013-002592
Delivering useful clinical decision support to providers who are ordering high risk drugs for high risk patients is imperative for safe pharmacotherapy. This paper presents a focused electronic clinical decision support intervention designed to decrease the risk of corrected QT interval (QTc) related adverse drug events in a high risk patient population. Results showed that a customized alert can both decrease the number of alerts sent to providers while still [...]
Author(s): Pell, Jonathan Michael, Cheung, Dora, Jones, Michael A, Cumbler, Ethan
DOI: 10.1136/amiajnl-2014-002777
Studies of the effects of electronic health records (EHRs) have had mixed findings, which may be attributable to unmeasured confounders such as individual variability in use of EHR features.
Author(s): Ancker, Jessica S, Kern, Lisa M, Edwards, Alison, Nosal, Sarah, Stein, Daniel M, Hauser, Diane, Kaushal, Rainu, ,
DOI: 10.1136/amiajnl-2013-002627