Response to Corrao et al.: Improving efficacy of PubMed clinical queries for retrieving scientifically strong studies on treatment.
Author(s): Wilczynski, Nancy L, Haynes, R Brian
DOI: 10.1197/jamia.M2297
Author(s): Wilczynski, Nancy L, Haynes, R Brian
DOI: 10.1197/jamia.M2297
Bioterrorism and emerging infectious diseases such as influenza have spurred research into rapid outbreak detection. One primary thrust of this research has been to identify data sources that provide early indication of a disease outbreak by being leading indicators relative to other established data sources. Researchers tend to rely on the sample cross-correlation function (CCF) to quantify the association between two data sources. There has been, however, little consideration by [...]
Author(s): Bloom, Ronald M, Buckeridge, David L, Cheng, Karen E
DOI: 10.1197/jamia.M2178
Understanding the effect of a given intervention on the patient's health outcome is one of the key elements in providing optimal patient care. This study presents a methodology for automatic identification of outcomes-related information in medical text and evaluates its potential in satisfying clinical information needs related to health care outcomes.
Author(s): Demner-Fushman, Dina, Few, Barbara, Hauser, Susan E, Thoma, George
DOI: 10.1197/jamia.M1911
To determine whether algorithms developed for the World Wide Web can be applied to the biomedical literature in order to identify articles that are important as well as relevant. DESIGN AND MEASUREMENTS A direct comparison of eight algorithms: simple PubMed queries, clinical queries (sensitive and specific versions), vector cosine comparison, citation count, journal impact factor, PageRank, and machine learning based on polynomial support vector machines. The objective was to prioritize [...]
Author(s): Bernstam, Elmer V, Herskovic, Jorge R, Aphinyanaphongs, Yindalon, Aliferis, Constantin F, Sriram, Madurai G, Hersh, William R
DOI: 10.1197/jamia.M1909
To develop and validate an automated method for determining the set of patients for whom a given primary care physician holds overall clinical responsibility.
Author(s): Lasko, Thomas A, Atlas, Steven J, Barry, Michael J, Chueh, Henry C
DOI: 10.1197/jamia.M1876
Clinical Document Architecture, Release One (CDA R1), became an American National Standards Institute (ANSI)-approved HL7 Standard in November 2000, representing the first specification derived from the Health Level 7 (HL7) Reference Information Model (RIM). CDA, Release Two (CDA R2), became an ANSI-approved HL7 Standard in May 2005 and is the subject of this article, where the focus is primarily on how the standard has evolved since CDA R1, particularly in [...]
Author(s): Dolin, Robert H, Alschuler, Liora, Boyer, Sandy, Beebe, Calvin, Behlen, Fred M, Biron, Paul V, Shabo Shvo, Amnon
DOI: 10.1197/jamia.M1888
Telemedicine is a promising but largely unproven technology for providing case management services to patients with chronic conditions who experience barriers to access to care or a high burden of illness.
Author(s): Shea, Steven, Weinstock, Ruth S, Starren, Justin, Teresi, Jeanne, Palmas, Walter, Field, Lesley, Morin, Philip, Goland, Robin, Izquierdo, Roberto E, Wolff, L Thomas, Ashraf, Mohammed, Hilliman, Charlyn, Silver, Stephanie, Meyer, Suzanne, Holmes, Douglas, Petkova, Eva, Capps, Linnea, Lantigua, Rafael A
DOI: 10.1197/jamia.M1917
Quasi-experimental study designs, often described as nonrandomized, pre-post intervention studies, are common in the medical informatics literature. Yet little has been written about the benefits and limitations of the quasi-experimental approach as applied to informatics studies. This paper outlines a relative hierarchy and nomenclature of quasi-experimental study designs that is applicable to medical informatics intervention studies. In addition, the authors performed a systematic review of two medical informatics journals, the [...]
Author(s): Harris, Anthony D, McGregor, Jessina C, Perencevich, Eli N, Furuno, Jon P, Zhu, Jingkun, Peterson, Dan E, Finkelstein, Joseph
DOI: 10.1197/jamia.M1749
The purpose of this study was threefold. First, we gathered and synthesized the historic literature regarding electronic health record (EHR) adoption rates among physicians in small practices (ten or fewer members). Next, we constructed models to project estimated future EHR adoption trends and timelines. We then determined the likelihood of achieving universal EHR adoption in the near future and articulate how barriers can be overcome in the small and solo [...]
Author(s): Ford, Eric W, Menachemi, Nir, Phillips, M Thad
DOI: 10.1197/jamia.M1913
Confusion about patients' medication regimens during the hospital admission and discharge process accounts for many preventable and serious medication errors. Many organizations have begun to redesign their clinical processes to address this patient safety concern. Partners HealthCare, an integrated delivery network in Boston, Massachusetts, has answered this interdisciplinary challenge by leveraging its multiple outpatient electronic medical records (EMR) and inpatient computerized provider order entry (CPOE) systems to facilitate the process [...]
Author(s): Poon, Eric G, Blumenfeld, Barry, Hamann, Claus, Turchin, Alexander, Graydon-Baker, Erin, McCarthy, Patricia C, Poikonen, John, Mar, Perry, Schnipper, Jeffrey L, Hallisey, Robert K, Smith, Sandra, McCormack, Christine, Paterno, Marilyn, Coley, Christopher M, Karson, Andrew, Chueh, Henry C, Van Putten, Cheryl, Millar, Sally G, Clapp, Margaret, Bhan, Ishir, Meyer, Gregg S, Gandhi, Tejal K, Broverman, Carol A
DOI: 10.1197/jamia.M2142