information retrieval
Feufel MA, Stahl SF. J Med Internet Res, 14(3)
BACKGROUND
Online health information is of variable and often low scientific quality. In particular, elderly less-educated populations are said to struggle in accessing quality online information (digital divide). Little is known about (1) how their online behavior differs from that of younger, more-educated, and more-frequent Web users, and (2) how the older population may be supported in accessing good-quality online health information.
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Published:
13 June 2012 |
Keyword(s): Computer Literacy, Digital Divide, Germany, Information Retrieval
Cabarcos A et al, International Journal of Electronic Healthcare, 5(4)
Nowadays, medical practice needs, at the patient Point-of-Care (POC), personalised knowledge adjustable in each moment to the clinical needs of each patient, in order to provide support to decision-making processes, taking into account personalised information. To achieve this, adapting the hospital information systems is necessary. Thus, there is a need of computational developments capable of retrieving and integrating the large amount of biomedical information available today, managing the complexity and diversity of these systems.
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Published:
2010 |
Keyword(s): Electronic Health Records, Information Management, Information Retrieval, Ontologies, Patient, Point of Care, UMLS, Visualization, Web 2.0
Lau AYS et al, J Med Internet Res, 12(2)
Background:
Searching the Web for documents using information retrieval systems plays an important part in clinicians’ practice of evidence-based medicine. While much research focuses on the design of methods to retrieve documents, there has been little examination of the way different search engine capabilities influence clinician search behaviors.
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Published:
30 June 2010 |
Keyword(s): Information Retrieval, Internet, Physicians, Search
Bleuer JP et al, Medical and Care Compunetics 6, 2010
Suva (Swiss National Accident Insurance Fund) is the most important carrier of obligatory accident insurance in Switzerland. Its medical division supports doctors working in inpatient and outpatient care with comprehensive case management and with conciliar advice. The Suva hospitals provide inpatient rehabilitation. In 2002, Suva started the InWiM project. InWiM is an acronym and stands for “Integrierte Wissensbasen der Medizin”, which can be translated as “Integrated Knowledge Bases in Medicine”.
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Published:
8 June 2010 |
Keyword(s): Information Retrieval, Knowledge Management
Daumke, P. et al, Methods of Information in Medicine, 49(2)
Objectives:
The increasing amount of electronically available documents in bibliographic databases and the clinical documentation requires user-friendly techniques for content retrieval.
Methods:
A domain-specific approach on semantic text indexing for document retrieval is presented. It is based on a subword thesaurus and maps the content of texts in different European languages to a common interlingual representation, which supports the search across multilingual document collections.
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Published:
22 February 2010 |
Keyword(s): Consumer, Electronic Health Records, Health Informatics, Information Retrieval, Semantic
Overberg, Regina et al, J Med Internet Res, 12(1)
Background: Other patients’ stories on the Internet can give patients information, support, reassurance, and practical advice.
Objectives: We examined which search facility for online stories resulted in patients’ satisfaction and search success.
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Published:
9 March 2010 |
Keyword(s): Breast Cancer, Information Retrieval, Internet, Patient Satisfaction, Social Support
Sarkar I. Journal of Translational Medicine, 8(1)
Biomedical informatics involves a core set of methodologies that can provide a foundation for crossing the “translational barriers” associated with translational medicine. To this end, the fundamental aspects of biomedical informatics (e.g., bioinformatics, imaging informatics, clinical informatics, and public health informatics) may be essential in helping improve the ability to bring basic research findings to the bedside, evaluate the efficacy of interventions across communities, and enable the assessment of the eventual impact of translational medicine innovations on health policies.
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Published:
26 February 2010 |
Keyword(s): Biomedical Informatics, Decision Support, Electronic Health Records, Information Retrieval, NLP, Standards, Translational medicine
Jalali, Vahid, and Mohammad Matash Borujerdi,
There is a huge growth in the volume of published biomedical research in recent years. Many medical search engines are designed and developed to address the over growing information needs of biomedical experts and curators. Significant progress has been made in utilizing the knowledge embedded in medical ontologies and controlled vocabularies to assist these engines. However, the lack of common architecture for utilized ontologies and overall retrieval process, hampers evaluating different search engines and interoperability between them under unified conditions.
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Published:
25 August 2009 |
Keyword(s): Biomedicine, Information Retrieval, Ontology, OWL, Search, Semantic, Semantic Web
Hanss, Sabine et al, Methods of Information in Medicine, 48(5)
Objectives:
In this paper we present a general concept and describe the difficulties for the integration of data from various clinical partners in one data warehouse using the Open European Nephrology Science Center (OpEN.SC) as an example. This includes a requirements analysis of the data integration process and also the design according to these requirements.
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Published:
5 August 2009 |
Keyword(s): Germany, Information Management, Information Retrieval, Information Storage, Software Design
Siegler, Eugenia L., and Ronald Adelman, The American Journal of Medicine, 112(6)
The electronic health record offers numerous advantages over its paper counterpart: the ability to access a chart from any location; the opportunity for multiple viewers to read or contribute to a chart simultaneously; legibility; and the ease of incorporation of data into the note, without transcription error.
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Published:
June 2009 |
Keyword(s): Confidentiality, Copying Processes, Electronic Health Records, Information Retrieval, Information Storage, Interdisciplinary Communication, Quality of Health Care, United States
Bales, S., Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 48(7)
From 2006 onwards all members of the health insurance system in Germany will be issued an electronic health card which will replace the current health insurance card. The new health card will be technically upgraded to also include patient-related health data or provide access to such data in addition to its administrative functions.
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Published:
8 July 2005 |
Keyword(s): Electronic Health Records, Germany, Information Retrieval, Information Storage, Insurance, Medical Informatics, National Health Programs, Patient Identification Systems, Telecommunications, Telemedicine
Seyfried, Lisa et al, International Journal of Medical Informatics, 78(12)
Purpose
Electronic medical records (EMRs) have become part of daily practice for many physicians. Attempts have been made to apply electronic search engine technology to speed EMR review. This was a prospective, observational study to compare the speed and clinical accuracy of a medical record search engine vs. manual review of the EMR.
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Published:
29 June 2009 |
Keyword(s): Clinical Research, Depression, Electronic Health Records, Electronic Medical Records, Information Retrieval, Information Storage, Medical Informatics, Medical Record Systems, Research, Search Engines, United States
Hildebrand, Claudia et al, eHealth Beyond the Horizon - Get IT There, 2008
Communication and co-operation processes in healthcare and welfare require the involvement of all parties involved, including health professionals as well as patients. Generally, professionals can and will easily communicate via trusted health networks. To enforce both communication and co-operation between professionals and patients and to guarantee the required degree of involvement of patients in shared care environments, smart cards are widely used.
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Published:
2008 |
Keyword(s): Computer Communication Networks, Cooperative Behavior, Electronic Health Records, Germany, Hospital Information Systems, Information Retrieval, Information Storage, Interdisciplinary Communication, Medical Record Linkage, Needs Assessment, Patient Identification Systems, Software
Bødker, Keld, and Maren Fich Granlien, eHealth Beyond the Horizon - Get IT There, 2008
Shared care has been announced as an effective model for care of chronic diseases. In the paper we discuss various facets of IT support for shared care of diabetes. Based on an empirical study of a project in Denmark we identify various challenges involved with IT support of shared care; structural problems and lack of attention to general practitioners’ practice and to clarify the meaning of shared care in the actual project.
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Published:
2008 |
Keyword(s): Ambulatory Care, Communication, Decision Support Systems, Denmark, Diabetes, Disease Management, Electronic Health Records, General Practice, Information Retrieval, Information Storage, Referral and Consultation
Mysore, N. et al, International Journal of Medical Informatics, 78(5)
Content and objective
Health professionals now routinely use electronic knowledge resources (EKRs). Few studies have considered EKR-related tensions which may arise in a clinical decision-making context. The present study aims to explore three types of tension: (1) user-computer tension, (2) social tensions, and (3) organizational tensions (constraints associated with organizational routines and health policies).
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Published:
30 December 2008 |
Keyword(s): Conflict, Databases, Decision Support Systems, Evaluation Studies, Information Retrieval, Personal Digital Assistant
Lemley, Trey, and Judy F. Burnham, J Med Libr Assoc, 97(1)
The purpose of this study was to investigate the extent to which social networking tools are being used in the curricula of medical and nursing schools. As new Internet technology tools are introduced, educators in health-related disciplines have the opportunity to incorporate these new tools into the curriculum to enhance instruction and the learning process. Wikis, blogs, and other social networking tools may all be used both to augment the educational method and to increase its efficacy.
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Published:
January 2009 |
Keyword(s): Computer-Assisted Instruction, Education, Information Retrieval, Information Storage, Internet, United States, Web 2.0
Jakowenko, Janelle, J Telemed Telecare, 15(1)
Digital cameras, when used correctly, can provide the basis for telemedicine services. The increasing sophistication of digital cameras, combined with the improved speed and availability of the Internet, make them an instrument that every health-care professional should be familiar with.
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Published:
January 2009 |
Keyword(s): Information Retrieval, Information Storage, Informed Consent, Internet, Lighting, Photography, Telemedicine
Rosenbloom, S. Trent et al, J Am Med Inform Assoc, 13(3)
Previous investigators have defined clinical interface terminology as a systematic collection of health care-related phrases (terms) that supports clinicians’ entry of patient-related information into computer programs, such as clinical “note capture” and decision support tools. Interface terminologies also can facilitate display of computer-stored patient information to clinician-users. Interface terminologies “interface” between clinicians’ own unfettered, colloquial conceptualizations of patient descriptors and the more structured, coded internal data elements used by specific health care application programs.
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Published:
24 February 2006 |
Keyword(s): Electronic Health Records, ICD, Information Retrieval, Information Storage, LOINC, SNOMED CT, Terminology, UMLS, United States
Corn, Milton, J Am Med Inform Assoc, 16(1)
Retention policies for clinical records are set primarily by the states, although the federal government mandates minimum maintenance periods for certain classes of patients and selected types of information. State policies vary considerably, but most jurisdictions permit many types of data to be destroyed after some period usually shorter than 10 years. Many health care organizations hold records longer than mandated, but over time much clinical data are discarded or become difficult to access.
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Published:
24 October 2008 |
Keyword(s): Archives, Electronic Health Records, Information Management, Information Retrieval, Information Storage, Medical Records, United States
Anderson, Howard J., Health Data Management, 16(10)
Some might call it “data mining on steroids.” But the organizer of an ambitious research project at Montefiore Medical Center in New York describes it as “asking clinically cogent questions of ragged data while respecting the need for user flexibility.”
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Published:
1 October 2008 |
Keyword(s): Data Mining, Information Retrieval, Information Storage, Medical Informatics, Organizational Case Studies, Research, Secondary Data Use, United States
