Realizing the full potential of electronic health records: the role of natural language processing.
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2011-000501
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2011-000501
Many Dutch hospitals have established internal systems for reporting incidents. However, such internal systems do not allow learning from incidents that occur in other hospitals. Therefore a multicenter, information technology (IT) supported reporting system named central medication incidents registration (CMR) was developed. This article describes the architecture, implementation and current status of the CMR in The Netherlands and compare it with similar systems in other countries.
Author(s): Cheung, Ka-Chun, van den Bemt, Patricia M L A, Bouvy, Marcel L, Wensing, Michel, De Smet, Peter A G M
DOI: 10.1136/amiajnl-2011-000191
Implementing health information technology (IT) at the community level is a national priority to help improve healthcare quality, safety, and efficiency. However, community-based organizations implementing health IT may not have expertise in evaluation. This study describes lessons learned from experience as a multi-institutional academic collaborative established to provide independent evaluation of community-based health IT initiatives. The authors' experience derived from adapting the principles of community-based participatory research to the field [...]
Author(s): Kern, Lisa M, Ancker, Jessica S, Abramson, Erika, Patel, Vaishali, Dhopeshwarkar, Rina V, Kaushal, Rainu
DOI: 10.1136/amiajnl-2011-000249
To evaluate the incidence of duplicate medication orders before and after computerized provider order entry (CPOE) with clinical decision support (CDS) implementation and identify contributing factors.
Author(s): Wetterneck, Tosha B, Walker, James M, Blosky, Mary Ann, Cartmill, Randi S, Hoonakker, Peter, Johnson, Mark A, Norfolk, Evan, Carayon, Pascale
DOI: 10.1136/amiajnl-2011-000255
In 2005, Dr David Brailer, our first National Coordinator for Health Information Technology, had a vision of widespread adoption of electronic health records connected through networks run by regional health-information organizations. An advisory panel recommended at that time that proactive fraud management functions be embedded in this emerging information infrastructure. This has not occurred. Currently, the agencies responsible for fraud need the assistance of the Office of the National Coordinator [...]
Author(s): Simborg, Donald W
DOI: 10.1136/amiajnl-2011-000206
This paper describes natural-language-processing techniques for two tasks: identification of medical concepts in clinical text, and classification of assertions, which indicate the existence, absence, or uncertainty of a medical problem. Because so many resources are available for processing clinical texts, there is interest in developing a framework in which features derived from these resources can be optimally selected for the two tasks of interest.
Author(s): Roberts, Kirk, Harabagiu, Sanda M
DOI: 10.1136/amiajnl-2011-000152
There is a need to integrate the various theoretical frameworks and formalisms for modeling clinical guidelines, workflows, and pathways, in order to move beyond providing support for individual clinical decisions and toward the provision of process-oriented, patient-centered, health information systems (HIS). In this review, we analyze the challenges in developing process-oriented HIS that formally model guidelines, workflows, and care pathways.
Author(s): Gooch, Phil, Roudsari, Abdul
DOI: 10.1136/amiajnl-2010-000033
The BT-Nurse system uses data-to-text technology to automatically generate a natural language nursing shift summary in a neonatal intensive care unit (NICU). The summary is solely based on data held in an electronic patient record system, no additional data-entry is required. BT-Nurse was tested for two months in the Royal Infirmary of Edinburgh NICU. Nurses were asked to rate the understandability, accuracy, and helpfulness of the computer-generated summaries; they were [...]
Author(s): Hunter, James, Freer, Yvonne, Gatt, Albert, Reiter, Ehud, Sripada, Somayajulu, Sykes, Cindy, Westwater, Dave
DOI: 10.1136/amiajnl-2011-000193
To report the frequency, types, and causes of errors associated with outpatient computer-generated prescriptions, and to develop a framework to classify these errors to determine which strategies have greatest potential for preventing them.
Author(s): Nanji, Karen C, Rothschild, Jeffrey M, Salzberg, Claudia, Keohane, Carol A, Zigmont, Katherine, Devita, Jim, Gandhi, Tejal K, Dalal, Anuj K, Bates, David W, Poon, Eric G
DOI: 10.1136/amiajnl-2011-000205
The aim of this study was to measure the effect of an electronic heparin-induced thrombocytopenia (HIT) alert on provider ordering behaviors and on patient outcomes.
Author(s): Austrian, Jonathan S, Adelman, Jason S, Reissman, Stan H, Cohen, Hillel W, Billett, Henny H
DOI: 10.1136/amiajnl-2011-000138