What Big Data means to me.
Author(s): Bourne, Philip E
DOI: 10.1136/amiajnl-2014-002651
Author(s): Bourne, Philip E
DOI: 10.1136/amiajnl-2014-002651
To examine how patient portals contribute to health service delivery and patient outcomes. The specific aims were to examine how outcomes are produced, and how variations in outcomes can be explained.
Author(s): Otte-Trojel, Terese, de Bont, Antoinette, Rundall, Thomas G, van de Klundert, Joris
DOI: 10.1136/amiajnl-2013-002501
Data-driven risk stratification models built using data from a single hospital often have a paucity of training data. However, leveraging data from other hospitals can be challenging owing to institutional differences with patients and with data coding and capture.
Author(s): Wiens, Jenna, Guttag, John, Horvitz, Eric
DOI: 10.1136/amiajnl-2013-002162
Electronic health records (EHRs) must support primary care clinicians and patients, yet many clinicians remain dissatisfied with their system. This article presents a consensus statement about gaps in current EHR functionality and needed enhancements to support primary care. The Institute of Medicine primary care attributes were used to define needs and meaningful use (MU) objectives to define EHR functionality. Current objectives remain focused on disease rather than the whole person [...]
Author(s): Krist, Alex H, Beasley, John W, Crosson, Jesse C, Kibbe, David C, Klinkman, Michael S, Lehmann, Christoph U, Fox, Chester H, Mitchell, Jason M, Mold, James W, Pace, Wilson D, Peterson, Kevin A, Phillips, Robert L, Post, Robert, Puro, Jon, Raddock, Michael, Simkus, Ray, Waldren, Steven E
DOI: 10.1136/amiajnl-2013-002229
To evaluate factors affecting performance of influenza detection, including accuracy of natural language processing (NLP), discriminative ability of Bayesian network (BN) classifiers, and feature selection.
Author(s): Ye, Ye, Tsui, Fuchiang Rich, Wagner, Michael, Espino, Jeremy U, Li, Qi
DOI: 10.1136/amiajnl-2013-001934
Children are a vulnerable population in the operating room, and are particularly at risk of complications from unanticipated hemorrhage. The decision to prepare blood products prior to surgery varies depending on the personal experience of the clinician caring for the patient. We present the first application of a data visualization technique to study large datasets in the context of blood product transfusions at a tertiary pediatric hospital. The visual analytical [...]
Author(s): Gálvez, Jorge A, Ahumada, Luis, Simpao, Allan F, Lin, Elaina E, Bonafide, Christopher P, Choudhry, Dhruv, England, William R, Jawad, Abbas F, Friedman, David, Sesok-Pizzini, Debora A, Rehman, Mohamed A
DOI: 10.1136/amiajnl-2013-002241
A recent report from the Institute of Medicine titled Delivering High-Quality Cancer Care: Charting a New Course for a System in Crisis, identifies improvement in information technology (IT) as essential to improving the quality of cancer care in America. The report calls for implementation of a learning healthcare IT system: a system that supports patient-clinician interactions by providing patients and clinicians with the information and tools necessary to make well [...]
Author(s): Feeley, Thomas W, Sledge, George W, Levit, Laura, Ganz, Patricia A
DOI: 10.1136/amiajnl-2013-002346
Adverse drug reaction (ADR) can have dire consequences. However, our current understanding of the causes of drug-induced toxicity is still limited. Hence it is of paramount importance to determine molecular factors of adverse drug responses so that safer therapies can be designed.
Author(s): Liu, Mei, Cai, Ruichu, Hu, Yong, Matheny, Michael E, Sun, Jingchun, Hu, Jun, Xu, Hua
DOI: 10.1136/amiajnl-2013-002051
There is currently limited information on best practices for the development of governance requirements for distributed research networks (DRNs), an emerging model that promotes clinical data reuse and improves timeliness of comparative effectiveness research. Much of the existing information is based on a single type of stakeholder such as researchers or administrators. This paper reports on a triangulated approach to developing DRN data governance requirements based on a combination of [...]
Author(s): Kim, Katherine K, Browe, Dennis K, Logan, Holly C, Holm, Roberta, Hack, Lori, Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2013-002308
We postulate that professional proximity due to common patients and geographical proximity among practice locations are significant factors influencing the adoption of health information exchange (HIE) services by healthcare providers. The objective of this study is to investigate the direct and indirect network effects of these drivers on HIE diffusion.
Author(s): Yaraghi, Niam, Du, Anna Ye, Sharman, Raj, Gopal, Ram D, Ramesh, R, Singh, Ranjit, Singh, Gurdev
DOI: 10.1136/amiajnl-2012-001293