Sharing data for the public good and protecting individual privacy: informatics solutions to combine different goals.
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2012-001513
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2012-001513
Ensuring the security and appropriate use of patient health information contained within electronic medical records systems is challenging. Observing these difficulties, we present an addition to the explanation-based auditing system (EBAS) that attempts to determine the clinical or operational reason why accesses occur to medical records based on patient diagnosis information. Accesses that can be explained with a reason are filtered so that the compliance officer has fewer suspicious accesses [...]
Author(s): Fabbri, Daniel, Lefevre, Kristen
DOI: 10.1136/amiajnl-2012-001018
In 2011, the US Supreme Court decided Sorrell v. IMS Health, Inc., a case that addressed the mining of large aggregated databases and the sale of prescriber data for marketing prescription drugs. The court struck down a Vermont law that required data mining companies to obtain permission from individual providers before selling prescription records that included identifiable physician prescription information to pharmaceutical companies for drug marketing. The decision was based [...]
Author(s): Petersen, Carolyn, Demuro, Paul, Goodman, Kenneth W, Kaplan, Bonnie
DOI: 10.1136/amiajnl-2012-001123
Point-of-care information needs are common and frequently unmet. One solution to this problem is the use of Infobuttons, which are context-sensitive links from electronic health records (EHR) to knowledge resources, sometimes involving an intermediate broker known as an Infobutton Manager. Health Level Seven (HL7) has developed the Context-Aware Knowledge Retrieval (Infobutton) standard to standardize the integration between EHR systems and knowledge resources. While the standard specifies a set of context [...]
Author(s): Strasberg, Howard R, Del Fiol, Guilherme, Cimino, James J
DOI: 10.1136/amiajnl-2012-001251
The term informatics is currently enveloped in chaos. One way to clarify the meaning of informatics is to identify the competencies associated with training in the field, but this approach can conceal the whole that the competencies atomistically describe. This work takes a different approach by offering three higher-level visions of what characterizes the field, viewing informatics as: (1) cross-training between basic informational sciences and an application domain, (2) the [...]
Author(s): Friedman, Charles P
DOI: 10.1136/amiajnl-2012-001206
To evaluate how clinical chemistry test results were assessed by volunteers when presented with four different visualization techniques.
Author(s): Torsvik, Torbjørn, Lillebo, Børge, Mikkelsen, Gustav
DOI: 10.1136/amiajnl-2012-001147
The objective of this paper is to introduce a new language called ccML, designed to provide convenient pragmatic information to applications using the ISO/EN13606 reference model (RM), such as electronic health record (EHR) extracts editors. EHR extracts are presently built using the syntactic and semantic information provided in the RM and constrained by archetypes. The ccML extra information enables the automation of the medico-legal context information edition, which is over [...]
Author(s): Sánchez-de-Madariaga, Ricardo, Muñoz, Adolfo, Cáceres, Jesús, Somolinos, Roberto, Pascual, Mario, Martínez, Ignacio, Salvador, Carlos H, Monteagudo, José Luis
DOI: 10.1136/amiajnl-2011-000722
In an effort to understand better the federal electronic health record (EHR) incentive programme's challenges, this study compared hospitals that did and did not receive meaningful use (MU) payments in the programme's first year based on the challenges they anticipated a year before.
Author(s): Harle, Christopher A, Huerta, Timothy R, Ford, Eric W, Diana, Mark L, Menachemi, Nir
DOI: 10.1136/amiajnl-2012-001142
Securing protected health information is a critical responsibility of every healthcare organization. We explore information security practices and identify practice patterns that are associated with improved regulatory compliance.
Author(s): Kwon, Juhee, Johnson, M Eric
DOI: 10.1136/amiajnl-2012-000906
De-identification allows faster and more collaborative clinical research while protecting patient confidentiality. Clinical narrative de-identification is a tedious process that can be alleviated by automated natural language processing methods. The goal of this research is the development of an automated text de-identification system for Veterans Health Administration (VHA) clinical documents.
Author(s): Ferrández, Oscar, South, Brett R, Shen, Shuying, Friedlin, F Jeffrey, Samore, Matthew H, Meystre, Stéphane M
DOI: 10.1136/amiajnl-2012-001020