Networking the country to promote health and scientific discovery.
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2014-003005
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2014-003005
Larry Weed, MD is widely known as the father of the problem-oriented medical record and inventor of the now-ubiquitous SOAP (subjective/objective/assessment/plan) note, for developing an electronic health record system (Problem-Oriented Medical Information System, PROMIS), and for founding a company (since acquired), which developed problem-knowledge couplers. However, Dr Weed's vision for medicine goes far beyond software--over the course of his storied career, he has relentlessly sought to bring the scientific method [...]
Author(s): Wright, Adam, Sittig, Dean F, McGowan, Julie, Ash, Joan S, Weed, Lawrence L
DOI: 10.1136/amiajnl-2014-002776
To assess the effects of librarian-provided services in healthcare settings on patient, healthcare provider, and researcher outcomes.
Author(s): Perrier, Laure, Farrell, Ann, Ayala, A Patricia, Lightfoot, David, Kenny, Tim, Aaronson, Ellen, Allee, Nancy, Brigham, Tara, Connor, Elizabeth, Constantinescu, Teodora, Muellenbach, Joanne, Epstein, Helen-Ann Brown, Weiss, Ardis
DOI: 10.1136/amiajnl-2014-002825
Providing patients access to their medical records offers many potential benefits including identification and correction of errors. The process by which patients ask for changes to be made to their records is called an 'amendment request'. Little is known about the nature of such amendment requests and whether they result in modifications to the chart.
Author(s): Hanauer, David A, Preib, Rebecca, Zheng, Kai, Choi, Sung W
DOI: 10.1136/amiajnl-2013-002574
Record linkage to integrate uncoordinated databases is critical in biomedical research using Big Data. Balancing privacy protection against the need for high quality record linkage requires a human-machine hybrid system to safely manage uncertainty in the ever changing streams of chaotic Big Data.
Author(s): Kum, Hye-Chung, Krishnamurthy, Ashok, Machanavajjhala, Ashwin, Reiter, Michael K, Ahalt, Stanley
DOI: 10.1136/amiajnl-2013-002165
To summarize literature describing approaches aimed at automatically identifying patients with a common phenotype.
Author(s): Shivade, Chaitanya, Raghavan, Preethi, Fosler-Lussier, Eric, Embi, Peter J, Elhadad, Noemie, Johnson, Stephen B, Lai, Albert M
DOI: 10.1136/amiajnl-2013-001935
Ambiguous definitions of quality measures in natural language impede their automated computability and also the reproducibility, validity, timeliness, traceability, comparability, and interpretability of computed results. Therefore, quality measures should be formalized before their release. We have previously developed and successfully applied a method for clinical indicator formalization (CLIF). The objective of our present study is to test whether CLIF is generalizable--that is, applicable to a large set of heterogeneous measures [...]
Author(s): Dentler, Kathrin, Numans, Mattijs E, ten Teije, Annette, Cornet, Ronald, de Keizer, Nicolette F
DOI: 10.1136/amiajnl-2013-001921
The environment's contribution to health has been conceptualized as the exposome. Biomedical research interest in environmental exposures as a determinant of physiopathological processes is rising as such data increasingly become available. The panoply of miniaturized sensing devices now accessible and affordable for individuals to use to monitor a widening range of parameters opens up a new world of research data. Biomedical informatics (BMI) must provide a coherent framework for dealing [...]
Author(s): Martin Sanchez, Fernando, Gray, Kathleen, Bellazzi, Riccardo, Lopez-Campos, Guillermo
DOI: 10.1136/amiajnl-2013-001772
We aimed to explore stakeholder views, attitudes, needs, and expectations regarding likely benefits and risks resulting from increased structuring and coding of clinical information within electronic health records (EHRs).
Author(s): Morrison, Zoe, Fernando, Bernard, Kalra, Dipak, Cresswell, Kathrin, Sheikh, Aziz
DOI: 10.1136/amiajnl-2013-001666
Large amounts of personal health data are being collected and made available through existing and emerging technological media and tools. While use of these data has significant potential to facilitate research, improve quality of care for individuals and populations, and reduce healthcare costs, many policy-related issues must be addressed before their full value can be realized. These include the need for widely agreed-on data stewardship principles and effective approaches to [...]
Author(s): Hripcsak, George, Bloomrosen, Meryl, FlatelyBrennan, Patti, Chute, Christopher G, Cimino, Jim, Detmer, Don E, Edmunds, Margo, Embi, Peter J, Goldstein, Melissa M, Hammond, William Ed, Keenan, Gail M, Labkoff, Steve, Murphy, Shawn, Safran, Charlie, Speedie, Stuart, Strasberg, Howard, Temple, Freda, Wilcox, Adam B
DOI: 10.1136/amiajnl-2013-002117