Rural EMR adoption rates overtake those in urban areas.
To assess rural-urban differences in electronic medical record (EMR) adoption among office-based physician practices in the United States.
Author(s): Whitacre, Brian E
DOI: 10.1093/jamia/ocu035
To assess rural-urban differences in electronic medical record (EMR) adoption among office-based physician practices in the United States.
Author(s): Whitacre, Brian E
DOI: 10.1093/jamia/ocu035
Health care delivery processes consist of complex activity sequences spanning organizational, spatial, and temporal boundaries. Care is human-directed so these processes can have wide variations in cost, quality, and outcome making systemic care process analysis, conformance testing, and improvement challenging. We designed and developed an interactive visual analytic process exploration and discovery tool and used it to explore clinical data from 5784 pediatric asthma emergency department patients.
Author(s): Basole, Rahul C, Braunstein, Mark L, Kumar, Vikas, Park, Hyunwoo, Kahng, Minsuk, Chau, Duen Horng Polo, Tamersoy, Acar, Hirsh, Daniel A, Serban, Nicoleta, Bost, James, Lesnick, Burton, Schissel, Beth L, Thompson, Michael
DOI: 10.1093/jamia/ocu016
Consensus that enhanced teamwork is necessary for efficient and effective primary care delivery is growing. We sought to identify how electronic health records (EHRs) facilitate and pose challenges to primary care teams as well as how practices are overcoming these challenges.
Author(s): O'Malley, Ann S, Draper, Kevin, Gourevitch, Rebecca, Cross, Dori A, Scholle, Sarah Hudson
DOI: 10.1093/jamia/ocu029
To explore the experience of early patient adopters who accessed their clinical notes online using the Blue Button feature of the My HealtheVet portal.
Author(s): Nazi, Kim M, Turvey, Carolyn L, Klein, Dawn M, Hogan, Timothy P, Woods, Susan S
DOI: 10.1136/amiajnl-2014-003144
To analyze the longitudinal data of multiple patients and to discover new temporal knowledge, we designed and developed the Visual Temporal Analysis Laboratory (ViTA-Lab). In this study, we demonstrate several of the capabilities of the ViTA-Lab framework through the exploration of renal-damage risk factors in patients with diabetes type II.
Author(s): Klimov, Denis, Shknevsky, Alexander, Shahar, Yuval
DOI: 10.1136/amiajnl-2014-002927
Clinical data warehouses have accelerated clinical research, but even with available open source tools, there is a high barrier to entry due to the complexity of normalizing and importing data. The Office of the National Coordinator for Health Information Technology's Meaningful Use Incentive Program now requires that electronic health record systems produce standardized consolidated clinical document architecture (C-CDA) documents. Here, we leverage this data source to create a low volume [...]
Author(s): Klann, Jeffrey G, Mendis, Michael, Phillips, Lori C, Goodson, Alyssa P, Rocha, Beatriz H, Goldberg, Howard S, Wattanasin, Nich, Murphy, Shawn N
DOI: 10.1136/amiajnl-2014-003040
To describe HARVEST, a novel point-of-care patient summarization and visualization tool, and to conduct a formative evaluation study to assess its effectiveness and gather feedback for iterative improvements.
Author(s): Hirsch, Jamie S, Tanenbaum, Jessica S, Lipsky Gorman, Sharon, Liu, Connie, Schmitz, Eric, Hashorva, Dritan, Ervits, Artem, Vawdrey, David, Sturm, Marc, Elhadad, Noémie
DOI: 10.1136/amiajnl-2014-002945
In many hospitals and health systems, a 'new' electronic health record means a shift to one vendor: Epic, a vendor that dominates in large and medium hospital markets and continues its success with smaller institutions and ambulatory practices. Our paper examines the implications of this emerging monoculture: its advantages and disadvantages for physicians and hospitals and its role in innovation, professional autonomy, implementation difficulties, workflow, flexibility, cost, data standards, interoperability [...]
Author(s): Koppel, Ross, Lehmann, Christoph U
DOI: 10.1136/amiajnl-2014-003023
This study investigates the use of visualization techniques reported between 1996 and 2013 and evaluates innovative approaches to information visualization of electronic health record (EHR) data for knowledge discovery.
Author(s): West, Vivian L, Borland, David, Hammond, W Ed
DOI: 10.1136/amiajnl-2014-002955
An increasing number of healthcare providers are adopting patient safety event reporting systems, yet leveraging these data to improve safety remains a challenge, particularly with large datasets composed of thousands of event reports. A MedStar Health research team, with expertise in data analytics and human factors, developed intuitive visualization dashboards to facilitate data exploration and trend analysis. Dashboards were developed using an iterative design and development process that was end-user [...]
Author(s): Ratwani, Raj M, Fong, Allan
DOI: 10.1136/amiajnl-2014-002963