Big science, big data, and a big role for biomedical informatics.
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2012-001052
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2012-001052
Inadequate participant recruitment is a major problem facing clinical research. Recent studies have demonstrated that electronic health record (EHR)-based, point-of-care, clinical trial alerts (CTA) can improve participant recruitment to certain clinical research studies. Despite their promise, much remains to be learned about the use of CTAs. Our objective was to study whether repeated exposure to such alerts leads to declining user responsiveness and to characterize its extent if present to [...]
Author(s): Embi, Peter J, Leonard, Anthony C
DOI: 10.1136/amiajnl-2011-000743
Clinical research informatics is the rapidly evolving sub-discipline within biomedical informatics that focuses on developing new informatics theories, tools, and solutions to accelerate the full translational continuum: basic research to clinical trials (T1), clinical trials to academic health center practice (T2), diffusion and implementation to community practice (T3), and 'real world' outcomes (T4). We present a conceptual model based on an informatics-enabled clinical research workflow, integration across heterogeneous data sources [...]
Author(s): Kahn, Michael G, Weng, Chunhua
DOI: 10.1136/amiajnl-2012-000968
Profiling the allocation and trend of research activity is of interest to funding agencies, administrators, and researchers. However, the lack of a common classification system hinders the comprehensive and systematic profiling of research activities. This study introduces ontology-based annotation as a method to overcome this difficulty. Analyzing over a decade of funding data and publication data, the trends of disease research are profiled across topics, across institutions, and over time.
Author(s): Liu, Yi, Coulet, Adrien, LePendu, Paea, Shah, Nigam H
DOI: 10.1136/amiajnl-2011-000631
The Massachusetts Veterans Epidemiology Research and Information Center in collaboration with the Stanford Center for Innovative Study Design set out to test the feasibility of a new method of evidence generation. The first pilot of a point-of-care clinical trial (POCCT), adding randomization and other study processes to an electronic medical record (EMR) system, was launched to compare the effectiveness of two insulin regimens.
Author(s): D'Avolio, Leonard, Ferguson, Ryan, Goryachev, Sergey, Woods, Patricia, Sabin, Thomas, O'Neil, Joseph, Conrad, Chester, Gillon, Joseph, Escalera, Jasmine, Brophy, Mary, Lavori, Phillip, Fiore, Louis
DOI: 10.1136/amiajnl-2011-000623
To address the challenge of balancing privacy with the need to create cross-site research registry records on individual patients, while matching the data for a given patient as he or she moves between participating sites. To evaluate the strategy of generating anonymous identifiers based on real identifiers in such a way that the chances of a shared patient being accurately identified were maximized, and the chances of incorrectly joining two [...]
Author(s): Weber, Susan C, Lowe, Henry, Das, Amar, Ferris, Todd
DOI: 10.1136/amiajnl-2011-000329
OBJECTIVE: Clinical summarization, the process by which relevant patient information is electronically summarized and presented at the point of care, is of increasing importance given the increasing volume of clinical data in electronic health record systems (EHRs). There is a paucity of research on electronic clinical summarization, including the capabilities of currently available EHR systems. METHODS: We compared different aspects of general clinical summary screens used in twelve different EHR [...]
Author(s): Laxmisan, Archana, McCoy, Allison B, Wright, Adam, Sittig, Dean F
DOI: 10.4338/ACI-2011-11-RA-0066
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2012-001363
Residual clinical samples represent a very appealing source of biomaterial for translational and clinical research. We describe the implementation of an opt-in biobank, with consent being obtained at the time of registration and the decision stored in our electronic health record, Epic. Information on that decision, along with laboratory data, is transferred to an application that signals to biobank staff whether a given sample can be kept for research. Investigators [...]
Author(s): Marsolo, Keith, Corsmo, Jeremy, Barnes, Michael G, Pollick, Carrie, Chalfin, Jamie, Nix, Jeremy, Smith, Christopher, Ganta, Rajesh
DOI: 10.1136/amiajnl-2012-000960
Author(s): Russ, Alissa L, Weiner, Michael, Saleem, Jason J, Wears, Robert L
DOI: 10.1136/amiajnl-2012-001193