Presentation of the 2007 Morris F. Collen award to William W. Stead, MD, including comments from recipient.
Author(s): Masys, Daniel R, Ellison, Donald, Stead, William W
DOI: 10.1197/jamia.M2739
Author(s): Masys, Daniel R, Ellison, Donald, Stead, William W
DOI: 10.1197/jamia.M2739
The development of regional data-sharing among healthcare organizations is viewed as an important step in the development of health information technology (HIT), but little is known about this complex task. This is a case study of a regional perinatal data system that involved four hospitals, together responsible for over 10,000 births annually. Using standard qualitative methods, we chronicled project milestones, and identified 31 "critical incidents" that delayed or prevented their [...]
Author(s): Korst, Lisa M, Signer, Jordana M K, Aydin, Carolyn E, Fink, Arlene
DOI: 10.1197/jamia.M2475
Efficient information management and communication within the emergency department (ED) is essential to providing timely and high-quality patient care. The ED whiteboard (census board) usually serves as an ED's central access point for operational and patient-related information. This article describes the design, functionality, and experiences with a computerized ED whiteboard, which has the ability to display relevant operational and patient-related information in real time. Embedded functionality, additional whiteboard views, and [...]
Author(s): Aronsky, Dominik, Jones, Ian, Lanaghan, Kevin, Slovis, Corey M
DOI: 10.1197/jamia.M2489
Electronic mailing systems (e-mail) are an important means to disseminate information within electronic networks. However, in large business communities including the hectic environment of hospitals it may be difficult to induce account holders to read the e-mail. In two mailings disseminated in a large university hospital we evaluated the impact of e-mail layout (three e-mail text versions, two e-mails with graphics) on the willingness of its approximately 6500 recipients to [...]
Author(s): Kaltschmidt, Jens, Schmitt, Simon P W, Pruszydlo, Markus G, Haefeli, Walter E
DOI: 10.1197/jamia.M2503
The Biomedical Research Integrated Domain Group (BRIDG) project is a collaborative initiative between the National Cancer Institute (NCI), the Clinical Data Interchange Standards Consortium (CDISC), the Regulated Clinical Research Information Management Technical Committee (RCRIM TC) of Health Level 7 (HL7), and the Food and Drug Administration (FDA) to develop a model of the shared understanding of the semantics of clinical research.
Author(s): Fridsma, Douglas B, Evans, Julie, Hastak, Smita, Mead, Charles N
DOI: 10.1197/jamia.M2556
We conducted a prospective observational study to (1) determine usage and construct validity of a method to gauge the cognitive impact of information derived from daily e-mail, and (2) describe self-reported impacts of research-based synopses (InfoPOEMs) delivered as e-mail. Ratings of InfoPOEMs using an Impact assessment scale provided (a) data on usage of the impact assessment method, (b) reports of impact by InfoPOEM and by doctor and (c) data for [...]
Author(s): Grad, Roland M, Pluye, Pierre, Mercer, Jay, Marlow, Bernard, Beauchamp, Marie-Eve, Shulha, Michael, Johnson-Lafleur, Janique, Wood-Dauphinee, Sharon
DOI: 10.1197/jamia.M2563
A significant portion of patients already known to be colonized or infected with Methicillin-Resistant Staphylococcus aureus (MRSA) may not be identified at admission by neighboring hospitals.
Author(s): Kho, Abel N, Lemmon, Larry, Commiskey, Marie, Wilson, Stephen J, McDonald, Clement J
DOI: 10.1197/jamia.M2577
To develop an electronic health record that facilitates rapid capture of detailed narrative observations from clinicians, with partial structuring of narrative information for integration and reuse.
Author(s): Johnson, Stephen B, Bakken, Suzanne, Dine, Daniel, Hyun, Sookyung, Mendonça, Eneida, Morrison, Frances, Bright, Tiffani, Van Vleck, Tielman, Wrenn, Jesse, Stetson, Peter
DOI: 10.1197/jamia.M2131
Explore the automated acquisition of knowledge in biomedical and clinical documents using text mining and statistical techniques to identify disease-drug associations.
Author(s): Chen, Elizabeth S, Hripcsak, George, Xu, Hua, Markatou, Marianthi, Friedman, Carol
DOI: 10.1197/jamia.M2401
This article describes our system entry for the 2006 I2B2 contest "Challenges in Natural Language Processing for Clinical Data" for the task of identifying the smoking status of patients. Our system makes the simplifying assumption that patient-level smoking status determination can be achieved by accurately classifying individual sentences from a patient's record. We created our system with reusable text analysis components built on the Unstructured Information Management Architecture and Weka [...]
Author(s): Savova, Guergana K, Ogren, Philip V, Duffy, Patrick H, Buntrock, James D, Chute, Christopher G
DOI: 10.1197/jamia.M2437