Patients as first-order participants in health, health care, and research.
Author(s): Fridsma, Doug B
DOI: 10.1093/jamia/ocv076
Author(s): Fridsma, Doug B
DOI: 10.1093/jamia/ocv076
To document disparities in registration and use of an online patient portal among older adults.
Author(s): Smith, Samuel G, O'Conor, Rachel, Aitken, William, Curtis, Laura M, Wolf, Michael S, Goel, Mita Sanghavi
DOI: 10.1093/jamia/ocv025
Electronic alerts are often ignored by physicians, which is partly due to the large number of unspecific alerts generated by decision support systems. The aim of the present study was to analyze critical drug prescriptions in a university-based nephrology clinic and to evaluate the effect of different alerting strategies on the alert burden.
Author(s): Czock, David, Konias, Michael, Seidling, Hanna M, Kaltschmidt, Jens, Schwenger, Vedat, Zeier, Martin, Haefeli, Walter E
DOI: 10.1093/jamia/ocv027
As adoption of electronic health records continues to increase, there is an opportunity to incorporate clinical documentation as well as laboratory values and demographics into risk prediction modeling.
Author(s): Perotte, Adler, Ranganath, Rajesh, Hirsch, Jamie S, Blei, David, Elhadad, Noémie
DOI: 10.1093/jamia/ocv024
New models of healthcare delivery such as accountable care organizations and patient-centered medical homes seek to improve quality, access, and cost. They rely on a robust, secure technology infrastructure provided by health information exchanges (HIEs) and distributed research networks and the willingness of patients to share their data. There are few large, in-depth studies of US consumers' views on privacy, security, and consent in electronic data sharing for healthcare and [...]
Author(s): Kim, Katherine K, Joseph, Jill G, Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocv014
The American Recovery and Reinvestment Act (ARRA) of 2009 clearly articulated the central role that health information technology (HIT) standards would play in improving healthcare quality, safety, and efficiency through the meaningful use of certified, standards based, electronic health record (EHR) technology. In 2012, the Office of the National Coordinator (ONC) asked the Nationwide Health Information Network (NwHIN) Power Team of the Health Information Technology Standards Committee (HITSC) to develop [...]
Author(s): Baker, Dixie B, Perlin, Jonathan B, Halamka, John
DOI: 10.1136/amiajnl-2014-002802
Develop and test web services to retrieve and identify the most precise ICD-10-CM code(s) for a given clinical encounter. Facilitate creation of user interfaces that 1) provide an initial shortlist of candidate codes, ideally visible on a single screen; and 2) enable code refinement.
Author(s): Cartagena, F Phil, Schaeffer, Molly, Rifai, Dorothy, Doroshenko, Victoria, Goldberg, Howard S
DOI: 10.1093/jamia/ocu042
Social media is becoming increasingly popular as a platform for sharing personal health-related information. This information can be utilized for public health monitoring tasks, particularly for pharmacovigilance, via the use of natural language processing (NLP) techniques. However, the language in social media is highly informal, and user-expressed medical concepts are often nontechnical, descriptive, and challenging to extract. There has been limited progress in addressing these challenges, and thus far, advanced [...]
Author(s): Nikfarjam, Azadeh, Sarker, Abeed, O'Connor, Karen, Ginn, Rachel, Gonzalez, Graciela
DOI: 10.1093/jamia/ocu041
To describe the goals of the Proteomics Standards Initiative (PSI) of the Human Proteome Organization, the methods that the PSI has employed to create data standards, the resulting output of the PSI, lessons learned from the PSI's evolution, and future directions and synergies for the group.
Author(s): Deutsch, Eric W, Albar, Juan Pablo, Binz, Pierre-Alain, Eisenacher, Martin, Jones, Andrew R, Mayer, Gerhard, Omenn, Gilbert S, Orchard, Sandra, Vizcaíno, Juan Antonio, Hermjakob, Henning
DOI: 10.1093/jamia/ocv001
Markers of illness severity are increasingly captured in emergency department (ED) electronic systems, but their value for surveillance is not known. We assessed the value of age, triage score, and disposition data from ED electronic records for predicting influenza-related hospitalizations.
Author(s): Savard, Noémie, Bédard, Lucie, Allard, Robert, Buckeridge, David L
DOI: 10.1093/jamia/ocu002