Commentary on G. Octo Barnett's Report to the Computer Research Study Section.
Author(s): Lindberg, Donald A B
DOI: 10.1197/jamia.M2022
Author(s): Lindberg, Donald A B
DOI: 10.1197/jamia.M2022
To maximize effectiveness, clinical decision-support systems must have access to accurate diagnostic and prescribing information. We measured the accuracy of electronic claims diagnoses and electronic antibiotic prescribing for acute respiratory infections (ARIs) and urinary tract infections (UTIs) in primary care.
Author(s): Linder, Jeffrey A, Bates, David W, Williams, Deborah H, Connolly, Meghan A, Middleton, Blackford
DOI: 10.1197/jamia.M1780
Health information retrieval (HIR) on the Internet has become an important practice for millions of people, many of whom have problems forming effective queries. We have developed and evaluated a tool to assist people in health-related query formation.
Author(s): Zeng, Qing T, Crowell, Jonathan, Plovnick, Robert M, Kim, Eunjung, Ngo, Long, Dibble, Emily
DOI: 10.1197/jamia.M1820
Infobuttons are message-based content search and retrieval functions embedded within other applications that dynamically return information relevant to the clinical task at hand. The objective of this study was to determine whether infobuttons effectively answer providers' questions about medications or affect patient care decisions.
Author(s): Maviglia, Saverio M, Yoon, Catherine S, Bates, David W, Kuperman, Gilad
DOI: 10.1197/jamia.M1861
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
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
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
To assess the acceptability and usage of a standalone personal digital assistant (PDA)-based clinical decision-support system (CDSS) for the diagnosis and management of acute respiratory tract infections (RTIs) in the outpatient setting.
Author(s): Rubin, Michael A, Bateman, Kim, Donnelly, Sharon, Stoddard, Gregory J, Stevenson, Kurt, Gardner, Reed M, Samore, Matthew H
DOI: 10.1197/jamia.M2029
This case study examined the utility of regular expressions to identify clinical data relevant to the epidemiology of treatment of hypertension. We designed a software tool that employed regular expressions to identify and extract instances of documented blood pressure values and anti-hypertensive treatment intensification from the text of physician notes. We determined sensitivity, specificity and precision of identification of blood pressure values and anti-hypertensive treatment intensification using a gold standard [...]
Author(s): Turchin, Alexander, Kolatkar, Nikheel S, Grant, Richard W, Makhni, Eric C, Pendergrass, Merri L, Einbinder, Jonathan S
DOI: 10.1197/jamia.M2078
To determine if clinician-selected electronic information resources improve primary care physicians' abilities to answer simulated clinical questions.
Author(s): McKibbon, K Ann, Fridsma, Douglas B
DOI: 10.1197/jamia.M2087