Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Informatics”

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 721 records · Page 40Linked to original sources

Health informatics: ethical issues.

Ethics is a component of the education of health care mangers and supervisors. Recent advances in the technologies of health informatics present these leader with new ethical challenges. Holding the promise of beneficence, these technologies are purported to increase access, improve quality, and decrease the costs of care. Aspects of these technologies, however, create conflicts with the ethical principles of autonomy, fidelity, and justice. Infoethics is suggested as a means to examine these conflicts. A multipronged solution that incorporates adherence to regulations and standards, promotion of codes of conduct and ethics, and creation of a culture of infoethics is recommended.

Ethics, Institutional↗

Nursing informatics: state of the science.

The phenomena of interest in nursing informatics are nursing data, nursing information and nursing knowledge. The current state of knowledge related to these phenomena suggests four implications for the development of systems to support nursing. First, research has provided evidence that knowledge and experience is related to the quality of nursing assessment, diagnosis or clinical inference, and planning of nursing care, and also that knowledge is task-specific. Information technology can provide access to a variety of information resources, such as knowledge bases and decision support systems, to increase the level of knowledge of the nurse decision-maker. Second, structured patient assessment forms with linkages to knowledge bases of diagnoses have the potential to improve the quality of the patient assessment and the accuracy of the diagnosis or clinical inference. Third, studies on planning care have demonstrated the complexity of the task when a number of options are potentially appropriate. Model-based decision support applications such as decision analysis and multi-attribute utility theory can assist the clinicians and patients to analyse and compare the treatment alternatives in a systematic manner. Fourth, there is modest support for demonstrating the relationship between the process and outcomes of clinical decision making. Large databases built upon nursing data are needed to further examine this relationship.

Expert Systems↗

Dental informatics for Australia.

Dentistry is undergoing significant changes with need for the dentist to manage a larger body of knowledge and information. There will be increasing reliance on electronic information systems in education, research, and dental practice. Dental informatics is concerned with computer and information science and technology and communications. Goals, that could be adopted for Australia, were proposed in the USA in 1989. Specific action steps that could meet those goals are proposed for Australia.

Australia↗

The origins of informatics.

This article summarizes the origins of informatics, which is based on the science, engineering, and technology of computer hardware, software, and communications. In just four decades, from the 1950s to the 1990s, computer technology has progressed from slow, first-generation vacuum tubes, through the invention of the transistor and its incorporation into microprocessor chips, and ultimately, to fast, fourth-generation very-large-scale-integrated silicon chips. Programming has undergone a parallel transformation, from cumbersome, first-generation, machine languages to efficient, fourth-generation application-oriented languages. Communication has evolved from simple copper wires to complex fiberoptic cables in computer-linked networks. The digital computer has profound implications for the development and practice of clinical medicine.

Computer Communication Networks↗

Strategic planning activities of the American Medical Informatics Association.

The American Medical Informatics Association (AMIA) has begun the process of long-range strategic plan development. The AMIA Board of Directors established an Ad Hoc Strategic Planning Task Force, with the goal of initiating such planning in November 1992. In January 1993, the Task Force convened a group of AMIA members in order to develop an initial set of goals and objectives. The group consisted of past and present AMIA Board members, AMIA Committee chairpersons, representative AMIA Working Group chairpersons, the AMIA Executive Director and members of the AMIA office staff, and a number of AMIA members-at-large. The group created a draft strategic plan, which was refined by the Task Force after circulation among two focus groups and through a mailing to the AMIA membership. This report of the AMIA strategic planning process is intended to create a historical record and to stimulate further discussion of a working plan that will evolve over time. AMIA will continue the strategic planning process through its Ad Hoc Strategic Planning Committee as it begins to implement aspects of the strategic plan over the next several years.

Association↗

Informatics: essential infrastructure for quality assessment and improvement in nursing.

In recent decades there have been major advances in the creation and implementation of information technologies and in the development of measures of health care quality. The premise of this article is that informatics provides essential infrastructure for quality assessment and improvement in nursing. In this context, the term quality assessment and improvement comprises both short-term processes such as continuous quality improvement (CQI) and long-term outcomes management. This premise is supported by 1) presentation of a historical perspective on quality assessment and improvement; 2) delineation of the types of data required for quality assessment and improvement; and 3) description of the current and potential uses of information technology in the acquisition, storage, transformation, and presentation of quality data, information, and knowledge.

Computer Communication Networks↗

Variables, variability, and variations research: implications for medical informatics.

Variations research is one important strategy in the quality management movement designed to improve the quality of health care and to control costs. Information systems are being utilized in variations research to provide an array of potential variables, to provide measures of the variability inherent in these variables, and to assist with the study of the linkages of patient and provider characteristics with interventions and outcomes. This article presents a systems model of inputs, processes, and outcomes with explication of factors related to client, provider, and setting as a heuristic strategy for variable specification. The implications of variable specification, the design and measurement of variability, and the key issue of control in variations research are linked with a discussion of the implications for medical informatics.

Decision Support Systems, Management↗

Recommendations for responsible monitoring and regulation of clinical software systems. American Medical Informatics Association, Computer-based Patient Record Institute, Medical Library Association, Association of Academic Health Science Libraries, American Health Information Management Association, American Nurses Association.

In mid-1996, the FDA called for discussions on regulation of clinical software programs as medical devices. In response, a consortium of organizations dedicated to improving health care through information technology has developed recommendations for the responsible regulation and monitoring of clinical software systems by users, vendors, and regulatory agencies. Organizations assisting in development of recommendations, or endorsing the consortium position include the American Medical Informatics Association, the Computer-based Patient Record Institute, the Medical Library Association, the Association of Academic Health Sciences Libraries, the American Health Information Management Association, the American Nurses Association, the Center for Healthcare Information Management, and the American College of Physicians. The consortium proposes four categories of clinical system risks and four classes of measured monitoring and regulatory actions that can be applied strategically based on the level of risk in a given setting. The consortium recommends local oversight of clinical software systems, and adoption by healthcare information system developers of a code of good business practices. Budgetary and other constraints limit the type and number of systems that the FDA can regulate effectively. FDA regulation should exempt most clinical software systems and focus on those systems posing highest clinical risk, with limited opportunities for competent human intervention.

Clinical Medicine↗

Implementing clinical guidelines: how can informatics help?

Clinical guidelines are heralded as a positive contribution to improving quality of care and ensuring the effectiveness of care. From the perspective of the health services researcher, the authors propose a model of how informatics can support the implementation of clinical guidelines and their integration into systems for decision support and clinical audit. Each element of the model is discussed in turn.

Health Plan Implementation↗

The structure of medical informatics journal literature.

OBJECTIVE: Medical informatics is an emergent interdisciplinary field described as drawing upon and contributing to both the health sciences and information sciences. The authors elucidate the disciplinary nature and internal structure of the field. DESIGN: To better understand the field's disciplinary nature, the authors examine the intercitation relationships of its journal literature. To determine its internal structure, they examined its journal cocitation patterns. MEASUREMENTS: The authors used data from the Science Citation Index (SCI) and Social Science Citation Index (SSCI) to perform intercitation studies among productive journal titles, and software routines from SPSS to perform multivariate data analyses on cocitation data for proposed core journals. RESULTS: Intercitation network analysis suggests that a core literature exists, one mark of a separate discipline. Multivariate analyses of cocitation data suggest that major focus areas within the field include biomedical engineering, biomedical computing, decision support, and education. The interpretable dimensions of multidimensional scaling maps differed for the SCI and SSCI data sets. Strong links to information science literature were not found. CONCLUSION: The authors saw indications of a core literature and of several major research fronts. The field appears to be viewed differently by authors writing in journals indexed by SCI from those writing in journals indexed by SSCI, with more emphasis placed on computers and engineering versus decision making by the former and more emphasis on theory versus application (clinical practice) by the latter.

Abstracting and Indexing↗

Basic concepts in medical informatics.

This glossary defines terms used in the comparatively young science of medical informatics. It is hoped that it will be of interest to both novices and professionals in the field.

Confidentiality↗

Biodiversity informatics.

Biodiversity informatics is an emerging field that applies information management tools to the management and analysis of species-occurrence, taxonomic character, and image data. A wide and growing range of tools is available for both curators and researchers. The development and implementation of formal data exchange standards and query protocols have made it possible to integrate data holdings from collections around the world. The current technological environment is summarized; protocols, standards, and tools for data management, sharing, and integration are reviewed; and methods and tools for analyzing species-occurrence and character data are examined. Direct access to primary data and imagery has the power to transform the means by which taxonomy is practiced and its results disseminated to the general community.

Animals↗

Nanomanufacturing and characterization modalities for bio-nano-informatics systems.

In the next decade or two, the feature size of microelectronic devices will continue to decrease and is eventually expected to reach fabrication and material limits. With the field of microelectronics rapidly approaching the end of its roadmap, the National Nanotechnology Initiative (NNI) was created for the purpose of creating new technologies and to maintain the momentum of continuous scientific and technological progress. Primarily, the fields of nanoscience and nanotechnology aim to synthesize, characterize, apply, and control macro functional molecules and consist of three areas. First, the area of bio-nanotechnologies concerns that of biological molecules such as DNA, the molecule that serves as the blueprint of all living organisms. Harnessing the intrinsic functionality of these nano-sized biological molecules, i.e., DNA/RNA and proteins, will yield enormous potential for a wide array of applications (biomedical, energy, sensing, etc.) Second, diminishing electronic device feature sizes has spurred the development of new techniques for nanoelectronics and has emerged as a critical area of research. Third, these macro functional molecules possess rich potential for various new nanomaterials that have applications in bio-nano and nanoelectronics industries. Given the range of devices and applications that may be generated and addressed, respectively, through the fruition of these areas, development of novel and advanced core characterization and nanomanufacturing technologies will serve as a requisite strategy toward the realization of the potential underlying nanotechnological development. As such, this review will address how these novel technologies will be used to achieve a true coalescence of nanoscience and nanotechnology. This, in turn, will ultimately benefit the human condition by using the building blocks and fundamental findings of nanoscience to develop systems based on the fusion of biology, nanotechnology, and informatics, with embedded intelligence and emergent behavior.

Computational Biology↗

A descriptive analysis of National Library of Medicine-funded medical informatics training programs and the career choices of their graduates.

The initial 13 National Library of Medicine-supported medical informatics training programs and their graduates were studied to determine the program objectives, trainee selection factors, and curriculum components of the programs and the backgrounds and career choices of the trainees. All 13 programs and over 60% of the available population of trainees were studied. The analysis indicated that 1) the major objective was to train individuals in the applications of computer and information science to medicine: 2) the most frequent selection factor was the MD degree; 3) course work in computer science and a research project were the most common curriculum components; 4) 52% of the graduates selected academic careers; and 5) personal reasons most frequently influenced career choices. There is now a baseline of data that can be used in future studies.

Career Choice↗

Clinical informatics in critical care.

Health care information systems have the potential to enable better care of patients in much the same manner as the widespread use of the automobile and telephone did in the early 20th century. The car and phone were rapidly accepted and embraced throughout the world when these breakthroughs occurred. However, the automation of health care with use of computerized information systems has not been as widely accepted and implemented as computer technology use in all other sectors of the global economy. In this article, the authors examine the need, risks, and rewards of clinical informatics in health care as well as its specific relationship to critical care medicine.

Attitude of Health Personnel↗

Development of an integrated genome informatics, data management and workflow infrastructure: a toolbox for the study of complex disease genetics.

The genetic dissection of complex disease remains a significant challenge. Sample-tracking and the recording, processing and storage of high-throughput laboratory data with public domain data, require integration of databases, genome informatics and genetic analyses in an easily updated and scaleable format. To find genes involved in multifactorial diseases such as type 1 diabetes (T1D), chromosome regions are defined based on functional candidate gene content, linkage information from humans and animal model mapping information. For each region, genomic information is extracted from Ensembl, converted and loaded into ACeDB for manual gene annotation. Homology information is examined using ACeDB tools and the gene structure verified. Manually curated genes are extracted from ACeDB and read into the feature database, which holds relevant local genomic feature data and an audit trail of laboratory investigations. Public domain information, manually curated genes, polymorphisms, primers, linkage and association analyses, with links to our genotyping database, are shown in Gbrowse. This system scales to include genetic, statistical, quality control (QC) and biological data such as expression analyses of RNA or protein, all linked from a genomics integrative display. Our system is applicable to any genetic study of complex disease, of either large or small scale.

Animals↗

Medical informatics standards applicable to emergency department information systems: making sense of the jumble.

The adoption of medical informatics standards by emergency department information systems (EDISs) is not universal, despite obvious benefits. Clinicians and administrators looking to obtain an EDIS need to know exactly what the various standards can do for them and how the systems they depend on can be integrated and extended. In addition to the standard methods for systems to communicate (chiefly Health Level 7 [HL7]) and those required for submission of claims (Current Procedural Terminology [CPT]-4, International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM], and X12N), there are several other available standards that are clinically useful and can greatly improve the ability to access and exchange patient information. Major advances in the Unified Medical Language System of the National Library of Medicine have made the patient medical record information standards (Systematized Nomenclature of Medicine [SNOMED], Logical Observation Identifiers, Names, and Codes [LOINC], RxNorm) easily accessible. Detailed knowledge of the arcana associated with the technical aspects of the standards is not needed (or desired) by clinicians to use standards-based systems. However, some knowledge about the commonly used standards is helpful in choosing an EDIS, interfacing the EDIS with the other hospital information systems, extending or upgrading systems, and adopting decision support technologies.

Humans↗

The contributions of biomedical informatics to the fight against bioterrorism.

A comprehensive and timely response to current and future bioterrorist attacks requires a data acquisition, threat detection, and response infrastructure with unprecedented scope in time and space. Fortunately, biomedical informaticians have developed and implemented architectures, methodologies, and tools at the local and the regional levels that can be immediately pressed into service for the protection of our populations from these attacks. These unique contributions of the discipline of biomedical informatics are reviewed here.

Bioterrorism↗