Enhancing Friedman's "fundamental theorem of biomedical informatics".
Author(s): Hunter, J Stuart
DOI: 10.1197/jamia.m3400
Author(s): Hunter, J Stuart
DOI: 10.1197/jamia.m3400
To facilitate the integration of terminologies into applications, various terminology services application programming interfaces (API) have been developed in the recent past. In this study, three publicly available terminology services API, RxNav, UMLSKS and LexBIG, are compared and functionally evaluated with respect to the retrieval of information from one biomedical terminology, RxNorm, to which all three services provide access. A list of queries is established covering a wide spectrum of [...]
Author(s): Pathak, Jyotishman, Peters, Lee, Chute, Christopher G, Bodenreider, Olivier
DOI: 10.1136/jamia.2009.001149
Negation is a linguistic phenomenon that marks the absence of an entity or event. Negated events are frequently reported in both biological literature and clinical notes. Text mining applications benefit from the detection of negation and its scope. However, due to the complexity of language, identifying the scope of negation in a sentence is not a trivial task.
Author(s): Agarwal, Shashank, Yu, Hong
DOI: 10.1136/jamia.2010.003228
To study existing problem list terminologies (PLTs), and to identify a subset of concepts based on standard terminologies that occur frequently in problem list data.
Author(s): Fung, Kin Wah, McDonald, Clement, Srinivasan, Suresh
DOI: 10.1136/jamia.2010.007047
Active drug safety surveillance may be enhanced by analysis of multiple observational healthcare databases, including administrative claims and electronic health records. The objective of this study was to develop and evaluate a common data model (CDM) enabling rapid, comparable, systematic analyses across disparate observational data sources to identify and evaluate the effects of medicines.
Author(s): Reisinger, Stephanie J, Ryan, Patrick B, O'Hara, Donald J, Powell, Gregory E, Painter, Jeffery L, Pattishall, Edward N, Morris, Jonathan A
DOI: 10.1136/jamia.2009.002477
Following the January 2010 earthquake in Haiti, the Israel Defense Force Medical Corps dispatched a field hospital unit. A specially tailored information technology solution was deployed within the hospital. The solution included a hospital administration system as well as a complete electronic medical record. A light-weight picture archiving and communication system was also deployed. During 10 days of operation, the system registered 1111 patients. The network and system up times [...]
Author(s): Levy, Gad, Blumberg, Nehemia, Kreiss, Yitshak, Ash, Nachman, Merin, Ofer
DOI: 10.1136/jamia.2010.004937
Advances in clinical and translational science, along with related national-scale policy and funding mechanisms, have provided significant opportunities for the advancement of applied clinical research informatics (CRI) and translational bioinformatics (TBI). Such efforts are primarily oriented to application and infrastructure development and are critical to the conduct of clinical and translational research. However, they often come at the expense of the foundational CRI and TBI research needed to grow these [...]
Author(s): Payne, Philip R O, Embi, Peter J, Niland, Joyce
DOI: 10.1136/jamia.2010.005165
To identify challenges in mapping internal International Classification of Disease, 9th edition, Clinical Modification (ICD-9-CM) encoded legacy data to Systematic Nomenclature of Medicine (SNOMED), using SNOMED-prescribed compositional approaches where appropriate, and to explore the mapping coverage provided by the US National Library of Medicine (NLM)'s SNOMED clinical core subset.
Author(s): Nadkarni, Prakash M, Darer, Jonathan A
DOI: 10.1136/jamia.2009.001057
We report how seven independent critical access hospitals collaborated with a rural referral hospital to standardize workflow policies and procedures while jointly implementing the same health information technologies (HITs) to enhance medication care processes. The study hospitals implemented the same electronic health record, computerized provider order entry, pharmacy information systems, automated dispensing cabinets (ADC), and barcode medication administration systems. We conducted interviews and examined project documents to explore factors underlying [...]
Author(s): Wakefield, Douglas S, Ward, Marcia M, Loes, Jean L, O'Brien, John
DOI: 10.1136/jamia.2010.004267
This paper presents Lancet, a supervised machine-learning system that automatically extracts medication events consisting of medication names and information pertaining to their prescribed use (dosage, mode, frequency, duration and reason) from lists or narrative text in medical discharge summaries.
Author(s): Li, Zuofeng, Liu, Feifan, Antieau, Lamont, Cao, Yonggang, Yu, Hong
DOI: 10.1136/jamia.2010.004077