Representing knowledge: introduction to the Cornerstone I session at the 1999 AMIA Annual Symposium.
Author(s): Bakken, S
DOI: 10.1136/jamia.2000.0070287
Author(s): Bakken, S
DOI: 10.1136/jamia.2000.0070287
To create "extensional definitions" of laboratory codes from derived characteristics of coded values in a clinical database and then use these definitions in the automated mapping of codes between disparate facilities.
Author(s): Zollo, K A, Huff, S M
DOI: 10.1136/jamia.2000.0070586
This review examines how a "bottom-up" model of a civilian technology program works by recounting the story of the "genesis" of the Information Infrastructure for Healthcare (IIH) focused program of the Advanced Technology Program. The IIH program began with an exchange of ideas among members of the private and public sectors (through the submission of "white papers" by members of industry, workshops conducted by the ATP, and meetings among persons [...]
Author(s): Lide, B, Spivack, R N
DOI: 10.1136/jamia.2000.0070559
Nursing Vocabulary Summit participants were challenged to consider whether reference terminology and information models might be a way to move toward better capture of data in electronic medical records. A requirement of such reference models is fidelity to representations of domain knowledge. This article discusses embedded structures in three different approaches to organizing domain knowledge: scientific reasoning, expertise, and standardized nursing languages. The concept of pressure ulcer is presented as [...]
Author(s): Harris, M R, Graves, J R, Solbrig, H R, Elkin, P L, Chute, C G
DOI: 10.1136/jamia.2000.0070539
Terminology work in nursing has given rise to an increasing number of nursing terminologies. These generally take the form of controlled vocabularies. Because of the limitations of the controlled vocabulary approach, individual terminologies tend to be tuned to meet the specific needs of their intended users. Differences between terminologies are now a significant barrier to the comparison and interchange of health information. To agree on a single, multipurpose terminology would [...]
Author(s): Hardiker, N R, Hoy, D, Casey, A
DOI: 10.1136/jamia.2000.0070523
The authors study the extraction of useful phrases from a natural language database by statistical methods. The aim is to leverage human effort by providing preprocessed phrase lists with a high percentage of useful material.
Author(s): Kim, W, Wilbur, W J
DOI: 10.1136/jamia.2000.0070499
To identify variables that may enhance medical student's preparedness for computer-based administration of the United States Medical Licensing Examination (USMLE).
Author(s): Lynch, D C, Whitley, T W, Emmerling, D A, Brinn, J E
DOI: 10.1136/jamia.2000.0070469
Linking the electronic health record to the digital library is a Web-era reformulation of the long-standing informatics goal of seamless integration of automated clinical data and relevant knowledge-based information to support informed decisions. The spread of the Internet, the development of the World Wide Web, and converging format standards for electronic health data and digital publications make effective linking increasingly feasible. Some existing systems link electronic health data and knowledge-based [...]
Author(s): Humphreys, B L
DOI: 10.1136/jamia.2000.0070444
This paper provides a "viewpoint discussion" based on a presentation made to the 2000 Symposium of the American College of Medical Informatics. It discusses potential opportunities for researchers in health informatics to become involved in the rapidly growing field of bioinformatics, using the activities of the Yale Center for Medical Informatics as a case study. One set of opportunities occurs where bioinformatics research itself intersects with the clinical world. Examples [...]
Author(s): Miller, P L
DOI: 10.1136/jamia.2000.0070431
Currently, when cytopathology images are archived, they are typically stored with a limited text-based description of their content. Such a description inherently fails to quantify the properties of an image and refers to an extremely small fraction of its information content. This paper describes a method for automatically indexing images of individual cells and their associated diagnoses by computationally derived cell descriptors. This methodology may serve to better index data [...]
Author(s): Mattie, M E, Staib, L, Stratmann, E, Tagare, H D, Duncan, J, Miller, P L
DOI: 10.1136/jamia.2000.0070404