Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Information Retrieval Systems”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 865 records · Page 48Linked to original sources
PubMed1998

Radiology devices; classifications for five medical image management devices; correction--FDA. Final rule; correction.

The Food and Drug Administration (FDA) is correcting a final rule that appeared in the Federal Register of April 29, 1998 (63 FR 23385). The document classified, along with other devices, the medical image storage device and medical image communications device. These devices were classified into Class I and were exempted from the requirement of premarket notification when they do not use irreversible data compression. The document was published with an incomplete device identification and description of the conditions for exemption from premarket notification. This document corrects those errors.

Information Storage and Retrieval↗
PubMed2000

The evolution of a clinical database: from local to standardized clinical languages.

For more than twenty years, the University of Iowa Hospitals and Clinics Nursing Informatics (UIHC NI) has been developing a clinical database to support patient care planning and documentation in the INFORMM NIS (Information Network for Online Retrieval & Medical Management Nursing Information System). Beginning in 1992, the database content was revised to standardize orders and to incorporate the Standardized Nursing Languages (SNLs) of the North American Nursing Diagnosis Association (NANDA), Nursing Diagnosis Extension Classification (NDEC), Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC). This paper reports the results of the database revision as well as recent usage data, new user selection methods for clinical content, and the advantages of a database utilizing SNLs.

Databases as Topic↗
PubMed2001

Retrieval-oriented design of clinical research forms.

Computerized clinical forms are subject to a wide variety of different requirements. They have to allow detailed documentation and must be user-friendly. State-of-the-art applications for design permit clinicians themselves to create their own forms as needed, with the various variables presented in different ways depending on their intended use. Often, however, only aspects of clinical documentation are considered, with no thought being given to subsequent data retrieval. This article presents guidelines for the retrieval-oriented design of clinical forms. It discusses where anticipatory measures for structuring forms are easier to accomplish than complex data linkage at the time of retrieval and analysis.

Austria↗
PubMed2002

Theoretical, empirical and practical approaches to resolving the unmet information needs of clinical information system users.

We hypothesize that when clinicians review clinical data in an electronic medical record, the information needs that arise are predictable, based on a number of situational factors. Because our theory does not say, exactly, what those needs are, we are using an empirical approach (observation) to detecting and categorizing them. For each need, we can construct an "infobutton" that links the clinical data to an on-line information resource. We have constructed an Infobutton Manager to match the data being reviewed by clinicians with context-appropriate infobuttons. This paper describes how the theory, observations, and practical solutions can come together to improve clinician decision making by resolving information needs.

Decision Making, Computer-Assisted↗
PubMed2001

[Content-based medical image retrieval].

At first, the concept of medical image retrieval based on contents is here illustrated. Then, features of medical image are analyzed. Among them, gray histogram method, texture method, shape method are discussed, and the compression method is emphasized. Finally, the challenges in medical image retrieval are presented before us in the paper.

Algorithms↗
PubMed2003

Sharing infobuttons to resolve clinicians' information needs.

Attempts to link clinical information systems to on-line information resources date back over a decade. The World Wide Web presents new opportunities to create such links, which we refer to as "infobuttons". This capability is partly due to the ease with which a link (called a Uniform Resource Locator, or URL) in one Web-based system can take users to another Web-based system, and partly due to the proliferation of high-quality Web-based resources. Typically, contextual information from the clinical system (such as patient data) is passed to a search engine that is evoked and, in turn, presents search results to the user. Impediments to infobutton development include customized programming to pass context information to the information resource, lack of standards for types and values of context information, variability of search engine interfaces, and a lack of understanding of clinicians' information needs. We are addressing these limitations with an Infobutton Manager (IM) that provides a standardized interface for matching user contexts to information resources.

Hospital Information Systems↗
PubMed2004

Digital image storage.

Film has long been considered the gold standard for displaying and storing clinical images. But that may be changing. Digital technology--specifically digital imaging and storage technology--has advanced to the point where it can now deliver on the promises envisioned years ago. That is, the ability to provide any image, virtually anywhere, at any time--a goal that could never be achieved with film. Achieving this goal, however, requires a properly implemented digital infrastructure, including effective digital image storage. As early adopters will attest, digital image storage can be difficult to implement. It requires the careful selection and implementation of storage technologies and the continuous management of storage operations. In this Guidance Article, we address many of the issues facing the healthcare professionals charged with managing this process: We introduce the topic of medical digital storage, discussing how it is accomplished and why storing images is not that different from storing other forms of data. We review the available storage alternatives, from fast-access hard drives and RAIDs to long-term magnetic tape and optical disc storage. We delve into the issue of image compression, describing what compression is and how much can be used without affecting patient care. And we review the pertinent legal, regulatory, and management issues. When committing to a digital image workflow, it is essential that a healthcare facility give careful consideration to data storage issues, since poor choices can lead to significant long-term costs for the facility.

Computer Storage Devices↗