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
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
Real-time locating systems (RTLS) have the potential to enhance healthcare systems through the live tracking of assets, patients and staff. This study evaluated a commercially available RTLS system deployed in a clinical setting, with three objectives: (1) assessment of the location accuracy of the technology in a clinical setting; (2) assessment of the value of asset tracking to staff; and (3) assessment of threshold monitoring applications developed for patient tracking [...]
Author(s): Okoniewska, Barbara, Graham, Alecia, Gavrilova, Marina, Wah, Dannel, Gilgen, Jonathan, Coke, Jason, Burden, Jack, Nayyar, Shikha, Kaunda, Joseph, Yergens, Dean, Baylis, Barry, Ghali, William A, ,
DOI: 10.1136/amiajnl-2011-000560
Morphologic variations of disease are often linked to underlying molecular events and patient outcome, suggesting that quantitative morphometric analysis may provide further insight into disease mechanisms. In this paper a methodology for the subclassification of disease is developed using image analysis techniques. Morphologic signatures that represent patient-specific tumor morphology are derived from the analysis of hundreds of millions of cells in digitized whole slide images. Clustering these signatures aggregates tumors [...]
Author(s): Cooper, Lee A D, Kong, Jun, Gutman, David A, Wang, Fusheng, Gao, Jingjing, Appin, Christina, Cholleti, Sharath, Pan, Tony, Sharma, Ashish, Scarpace, Lisa, Mikkelsen, Tom, Kurc, Tahsin, Moreno, Carlos S, Brat, Daniel J, Saltz, Joel H
DOI: 10.1136/amiajnl-2011-000700
In the midst of a US $30 billion USD investment in the Nationwide Health Information Network (NwHIN) and electronic health records systems, a significant change in the architecture of the NwHIN is taking place. Prior to 2010, the focus of information exchange in the NwHIN was the Regional Health Information Organization (RHIO). Since 2010, the Office of the National Coordinator (ONC) has been sponsoring policies that promote an internet-like architecture [...]
Author(s): Lenert, Leslie, Sundwall, David, Lenert, Michael Edward
DOI: 10.1136/amiajnl-2011-000442
Physicians are often unaware of the results of tests pending at discharge (TPADs). The authors designed and implemented an automated system to notify the responsible inpatient physician of the finalized results of TPADs using secure, network email. The system coordinates a series of electronic events triggered by the discharge time stamp and sends an email to the identified discharging attending physician once finalized results are available. A carbon copy is [...]
Author(s): Dalal, Anuj K, Schnipper, Jeffrey L, Poon, Eric G, Williams, Deborah H, Rossi-Roh, Kathleen, Macleay, Allison, Liang, Catherine L, Nolido, Nyryan, Budris, Jonas, Bates, David W, Roy, Christopher L
DOI: 10.1136/amiajnl-2011-000615
Since 2007, New York City's primary care information project has assisted over 3000 providers to adopt and use a prevention-oriented electronic health record (EHR). Participating practices were taught to re-adjust their workflows to use the EHR built-in population health monitoring tools, including automated quality measures, patient registries and a clinical decision support system. Practices received a comprehensive suite of technical assistance, which included quality improvement, EHR customization and configuration, privacy [...]
Author(s): Parsons, Amanda, McCullough, Colleen, Wang, Jason, Shih, Sarah
DOI: 10.1136/amiajnl-2011-000557
Computerized drug alerts for psychotropic drugs are expected to reduce fall-related injuries in older adults. However, physicians over-ride most alerts because they believe the benefit of the drugs exceeds the risk.
Author(s): Tamblyn, Robyn, Eguale, Tewodros, Buckeridge, David L, Huang, Allen, Hanley, James, Reidel, Kristen, Shi, Sherry, Winslade, Nancy
DOI: 10.1136/amiajnl-2011-000609
To identify and evaluate the effectiveness, clinical usefulness, sustainability, and usability of web-compatible diabetes-related tools.
Author(s): Yu, Catherine H, Bahniwal, Robinder, Laupacis, Andreas, Leung, Eman, Orr, Michael S, Straus, Sharon E
DOI: 10.1136/amiajnl-2011-000307
A complex disease is generally caused by the mutation of multiple genes or by the dysfunction of multiple biological processes. Systematic identification of causal disease genes and module biomarkers can provide insights into the mechanisms underlying complex diseases, and help develop efficient therapies or effective drugs.
Author(s): Liu, Xiaoping, Liu, Zhi-Ping, Zhao, Xing-Ming, Chen, Luonan
DOI: 10.1136/amiajnl-2011-000658