information storage
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
Nergui, Myagmarbayar et al, Journal of Medical Systems, OnlineFirst
There is an increased emphasis on the use of digital techniques in all aspects of human life today. Broadcast radio and television, cellular phone services, consumer and entertainment electronics etc are increasingly using digital signal processing techniques to improve the quality of service. Transmission and storage of documentation and images pertaining to patient records cannot remain an exception to this global trend.
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Published:
6 July 2009 |
Keyword(s): Digital Watermarking, Electronic Health Records, Encryption, Images, Information Storage, Patient Information, Patients, Security, Standards
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
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
Eysenbach, Gunther, J Med Internet Res, 10(3)
In a very significant development for eHealth, broad adoption of Web 2.0 technologies and approaches coincides with the more recent emergence of Personal Health Application Platforms and Personally Controlled Health Records such as Google Health, Microsoft HealthVault, and Dossia.
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Published:
25 August 2008 |
Keyword(s): Information Retrieval, Information Storage, Internet, Medicine 2.0, Patient Education, Personal Health Records, Social Networks, Telemedicine, User-Computer Interface
Nijland N et al, J Med Internet Res, 10(2)
Background:
Prior studies have shown that many patients are interested in Internet-based technology that enables them to control their own care. As a result, innovative eHealth services are evolving rapidly, including self-assessment tools and secure patient-caregiver email communication. It is interesting to explore how these technologies can be used for supporting self-care.
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Published:
15 May 2008 |
Keyword(s): Consumer Health Information, e-Mail, Information Retrieval, Information Storage, Internet, Netherlands, Patient-provider communication, Physician-Patient Relationship, Primary Care, Self Care, Terminology
Quantin, Catherine et al, Medical and Care Compunetics 5, 2008
The main problem for the patient who wants to have access to all of the information about his health is that this information is very often spread over many medical records. Therefore, it would be convenient for the patient, after being identified and authenticated, to use a kind of specific medical search engine as one part of the solution to this main problem. The principal objective is for the patient to have access to his or her medical information at anytime and wherever it has been stored.
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Published:
June 2008 |
Keyword(s): Computer Security, Electronic Health Records, Information Retrieval, Information Storage, Online Systems, Patient Identification Systems, Patient Record Access
Wickramasinghe N et al, Medical and Care Compunetics 5, 2008
Knowledge Management (KM) is an emerging business approach aimed at solving current problems such as competitiveness and the need to innovate which are faced by businesses today. The premise for the need for KM is based on a paradigm shift in the business environment where knowledge is central to organizational performance . Organizations trying to embrace KM have many tools, techniques and strategies at their disposal. A vital technique in KM is data mining which enables critical knowledge to be gained from the analysis of large amounts of data and information.
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Published:
June 2008 |
Keyword(s): Data Mining, Delivery of Health Care, Diffusion of Innovation, Information Retrieval, Information Storage, Knowledge Bases, Knowledge Management, Quality of Health Care, Theoretical Models
Bleuer, Juerg P. et al, Medical and Care Compunetics 5, 2008
Suva (Swiss National Accident Insurance Fund) is the most important carrier of obligatory accident insurance in Switzerland. Its services not only comprise insurance but also prevention, case management and rehabilitation. Suva’s medical division supports doctors in stationary and ambulatory care with comprehensive case management and with conciliar advice. Two Suva clinics provide stationary rehabilitation. Medicine in general, including insurance medicine, faces the problem of a diversity of opinions about the facts of a case. One of the reasons is a diversity of knowledge.
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Published:
June 2008 |
Keyword(s): Accident Insurance, Information Retrieval, Information Storage, Knowledge Bases, Knowledge Management, Medical Subject Headings, Occupational Medicine, Switzerland, Theoretical Models
Ma, Chunlan et al, MEDINFO 2007 - Building Sustainable Health Systems
OpenEHR specifications have been developed to standardise the representation of an international electronic health record (EHR). The language used for querying EHR data is not as yet part of the specification. To fill in this gap, Ocean Informatics has developed a query language currently known as EHR Query Language (EQL), a declarative language supporting queries on EHR data. EQL is neutral to EHR systems, programming languages and system environments and depends only on the openEHR archetype model and semantics.
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Published:
August 2007 |
Keyword(s): Archetypes, Electronic Health Records, Information Retrieval, Information Storage, Intellectual Property, openEHR, Programming Languages, Software
Hippisley-Cox, Julia et al, BMJ, 2003;326
Objectives
To determine whether paperless medical records contained less information than paper based medical records and whether that information was harder to retrieve.
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Published:
28 June 2003 |
Keyword(s): Consultations, Cross-Sectional Studies, Drug Prescriptions, Electronic Medical Records, Information Management, Information Retrieval, Information Storage, Interviews, Observer Variation, Primary Care, Referral, UK
