[Reduced number of autopsies. A threat against a source of knowledge and legal rights].
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Autopsy↗
SEARCH · PubMed Health
Results for “Knowledge Sources”
Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.
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Generating MEDLINE search strategies using a librarian knowledge-based system.
We describe a librarian knowledge-based system that generates a search strategy from a query representation based on a user's information need. Together with the natural language parser AQUA, the system functions as a human/computer interface, which translates a user query from free text into a BRS Onsite search formulation, for searching the MEDLINE bibliographic database. In the system, conceptual graphs are used to represent the user's information need. The UMLS Metathesaurus and Semantic Net are used as the key knowledge sources in building the knowledge base.
Artificial Intelligence↗
[4 sources to knowledge].
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Clinical Competence↗
Knowledge and decision-making for labour analgesia of Australian primiparous women.
OBJECTIVE: to assess and investigate knowledge of labour pain management options and decision-making among primiparous women. DESIGN: a semi-structured guide was used in focus groups to gather pregnant women's knowledge concerning labour analgesia. Attitudes to labour and pain relief, knowledge of pain relief, trustworthiness of knowledge sources, and plans and expectations for labour pain relief were investigated. SETTING: a major tertiary obstetric hospital in metropolitan Sydney, Australia. PARTICIPANTS: twenty five primiparous women, who were 25 weeks or more gestation, and planning a vaginal birth. FINDINGS: although women considered themselves knowledgeable, they were unable to describe labour analgesic risks or benefits. There was a large discrepancy between perception and actual knowledge. The main source of knowledge was anecdotal information. Late in pregnancy was considered the ideal time to be given information about labour analgesia. Women described their labour pain relief plans as flexible in relation to their labour circumstances; however, most women wanted to take an active role in decision-making. KEY CONCLUSIONS: the large discrepancy between perceived knowledge and actual knowledge of the likely consequences of labour analgesia suggests that women rely too heavily on anecdotal information. IMPLICATIONS FOR PRACTICE: clinicians should be aware that some women overestimate their knowledge and understanding of analgesic options, which is often based on anecdotal information. Standardised labour analgesia information at an appropriate time in their pregnancy may benefit some women and assist health-care providers and women to practice shared decision-making.
Adult↗
Automatic construction of knowledge base from biological papers.
We designed a system that acquires domain specific knowledge from human written biological papers, and we call this system IFBP (Information Finding from Biological Papers). IFBP is divided into three phases, Information Retrieval (IR), Information Extraction (IE) and Dictionary Construction (DC). We propose a query modification method using automatically constructed thesaurus for IR and a statistical keyword prediction method for IE. A dictionary of domain specific terms, which is one of the central knowledge sources for the task of knowledge acquisition, is also constructed automatically in the DC phase. IFBP is currently used for constructing the Transcription Factor DataBase (TFDB) and shows good performance. Since the model of knowledge base construction that is adopted into IFBP is carried out entirely automatically, this system can be easily ported across domains.
Algorithms↗
Determining students' knowledge of university health services and the source of that knowledge.
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Attitude↗
Attitudes to water fluoridation in South Africa 1998. Part II. Influence of educational and occupational levels.
The purpose of this report is to investigate the influence of education, income and occupation on public perceptions of water fluoridation (WF). A questionnaire on current knowledge, sources of information, the purpose of WF and its desirability was administered to a representative sample of 2,220 individuals over the age of 18 years. Knowledge of WF increased with educational level (range from 13.5% in the grade 0-5 group to 59% in the grade 12 plus group). Lack of knowledge decreased from 76% to 37% in these groups respectively. Knowledge levels varied from 19% to 68% across the occupational spectrum and from 13% to 88% across the income spectrum. In educational levels up to grade 12, electronic media were most frequently cited as dominant sources of information among 40-50% of respondents, whereas in the grade 12 plus group print media (37%) dominated. Sources of knowledge on fluoridation were largely obtained from print and electronic media for both categories. Only 28% in the educational level up to grade 5 thought the purpose of WF was to protect teeth against decay. This gradually increased to 55% in the grade 12 plus category. More than a quarter of the population in both the occupational and income categories indicated that the purpose of WF was to purify water and protect teeth from decay. The number of respondents who thought that water should be fluoridated increased with level of education from 58% to 70%, while those who disagreed decreased as qualifications increased. The lower- and middle-income groups were more supportive of WF than the very-high-income groups. Persons in high administrative professional and executive positions were more opposed (27%) to WF than semi-skilled and unskilled workers (5%).
Adult↗
Bridging the guideline implementation gap: a systematic, document-centered approach to guideline implementation.
OBJECTIVE: A gap exists between the information contained in published clinical practice guidelines and the knowledge and information that are necessary to implement them. This work describes a process to systematize and make explicit the translation of document-based knowledge into workflow-integrated clinical decision support systems. DESIGN: This approach uses the Guideline Elements Model (GEM) to represent the guideline knowledge. Implementation requires a number of steps to translate the knowledge contained in guideline text into a computable format and to integrate the information into clinical workflow. The steps include: (1) selection of a guideline and specific recommendations for implementation, (2) markup of the guideline text, (3) atomization, (4) deabstraction and (5) disambiguation of recommendation concepts, (6) verification of rule set completeness, (7) addition of explanations, (8) building executable statements, (9) specification of origins of decision variables and insertions of recommended actions, (10) definition of action types and selection of associated beneficial services, (11) choice of interface components, and (12) creation of requirement specification. RESULTS: The authors illustrate these component processes using examples drawn from recent experience translating recommendations from the National Heart, Lung, and Blood Institute's guideline on management of chronic asthma into a workflow-integrated decision support system that operates within the Logician electronic health record system. CONCLUSION: Using the guideline document as a knowledge source promotes authentic translation of domain knowledge and reduces the overall complexity of the implementation task. From this framework, we believe that a better understanding of activities involved in guideline implementation will emerge.
Asthma↗
ARIANE: a mediation framework with health information sources.
OBJECTIVES: to design and implement mediators dedicated to access heterogeneous information sources in a homogeneous way. METHOD: processes translate a query into the syntax of a target source built thanks to the UMLS knowledge sources and a catalog of information sources. Communication services connect users with information sources at the point they deliver results. RESULTS: examples show the benefits healthcare professionals may found in searching information in this way. DISCUSSION: improvements on the current developments may be done according to the current architecture of ARIANE. Specially, the user interface should be easier to use than the present one.
Information Services↗
Development of an odorant emission model for sewage treatment works.
In the field of odour assessment, much attention has been paid to the measurement of odour concentration. Whilst the concentration of an odour at a receptor is a useful indicator of annoyance, the concentration at the source tells only half the story. The emission rate - the product of odour concentration and air flow rate - is required to appreciate the significance of odour sources. Knowledge of emission rates allows odour sources to be ranked in terms of significance and facilitates appropriate selection and design of odour control units. The emission rate is also a key input for atmospheric dispersion models. Given the increasing importance of odour to sewage treatment works operators, there is a clear need for predictive methods for odour emission rates. Theory suggests that the emission of odorants from sewage to air is controlled by mass transfer resistances in both the gas and liquid phase. These are in turn controlled by odorant and emission source characteristics. The required odorant characteristics are largely known, and mass transfer from many different types of emission sources have been studied. Sewage treatment processes can be described by one or more of six characteristic emission sources, these being quiescent surfaces, channels, weirs and drop structures, diffused aeration, surface aeration and flow over media. This paper describes the development of odorant mass transfer models for these characteristic emission types. The models have been applied in the form of spreadsheet models to the prediction of H2S emissions and the results compared with commercial VOC emission models.
Air Movements↗
Clinical effectiveness in the post-anaesthesia care unit: how nursing knowledge contributes to achieving intended patient outcomes.
Clinical effectiveness in the post-anaesthesia care unit: how nursing knowledge contributes to achieving intended patient outcomes This paper reports part of an ongoing study on how nursing knowledge develops in practice and influences patient outcomes. The practice focus is post-anaesthesia nursing, an area which has been under-represented in nursing research. A qualitative approach was used to explore narrative data, collected by in-depth interviews, with 32 experienced post-anaesthesia nurses. Data analysis and interpretation were informed by a phenomenological perspective consistent with a research focus on individual experiences. Interpretation of the narratives gave rise to a description of knowledge development which occurred as nurses gained experience, drew on the available knowledge base, and used knowledge in practice. This led to the identification and description of 'referential' and 'effective' types of knowledge. Referential knowledge comprises the variety of external knowledge sources available to inform practice. When referential knowledge was incorporated into the personal knowledge of the individual nurse in everyday practice, it was transformed into effective knowledge which was used by nurses to achieve desired patient outcomes. The study findings indicate that nurses used effective knowledge as evidence for decision making and interventions in everyday practice. The key finding of the study is that effective nursing knowledge requires practice for its development.
Anesthesia↗
Integration of clinical practice guidelines into a distributed regional electronic patient record for tumour-patients using XML: a means for standardization of the treatment processes.
With the rising efforts to guarantee a high quality treatment in medicine and to reduce the costs in the health care system, Clinical Practice Guidelines (CPG) have developed into a very important reference in medicine. CPGs are especially useful for the standardization of multi-professional treatment processes like the care for patients with malignant diseases. The Tumour-Centre Heidelberg/Mannheim (Germany) leads a project to build up a regional, virtual distributed Electronic Patient Record (EPR) for patients with malignant diseases in the Rhein-Neckar-Area. Aims of the first stages of the project are the introduction of the distributed EPR to two co-operating pilot-clinics. In this context we intend to provide access for medical professionals not only to the data of the jointly treated patients, but also to relevant existing CPGs and other medical knowledge sources like Medline and Cochrane-Library. Knowledge and Patient data should be interlinked to offer patient-specific views on the CPG-information. As all professions have different information needs, this views should be presented individualized according to the demands of the users. We analysed three relevant CPGs and defined a meta-structure that will be refined to a common meta-structure for CPGs in Oncology. CPGs as well as structured patient-documents will be implemented in the Extensible Markup Language (XML), as this platform-independent technology seems to suit our needs for data exchange and presentation purposes best. The implementation process will be accompanied tightly with evaluations to gain experience for further expansions of the EPR. The vision of the project is, that by integrating CPGs in a shared distributed EPR, the way towards standardized treatment processes in a local, but multi-professional setting, and the efforts to guarantee a high quality treatment in Oncology can sufficiently be supported.
Computer Communication Networks↗
[Sources of women's knowledge relating pregnancy and childbirth].
Future parents have the huge range of possibility to afford theoretical knowledge from different sources: books, periodicals, advice of close, doctor's advice or the midwife in outpatient clinic and more. One of the most professional sources of knowledge preparing to parenthood is the delivery school. The aim of investigations is the analysis of sources of women's knowledge preparing to maternity at schools of childbirth and without such form of education. Investigations were conducted on Maternity Ward at the Chair and Department of Obstetrics and Perinatology of Pomeranian Medical University in Szczecin. Investigations were having taken over 129 women after delivery school. Control group was 165 women, who did not take any antenatal education. Investigations appeared that women participating in activities of the delivery school more often read professional magazines and books, watching films preparing to birth control. This is probably the result of significantly frequent higher education in this group as well as the projection of educational films in delivery school. Moreover woman without preparation in delivery school more often had to need the help of hospital staff during delivery.
Adult↗
Interactive visualization and exploration of time-oriented clinical data using a distributed temporal-abstraction architecture.
KNAVE-II is a system for visualization and exploration of large amounts of time-oriented clinical data and of multiple levels of clinically meaningful abstractions derivable from these data. KNAVE-II uses a distributed temporal-abstraction architecture that integrates a set of knowledge services, each interacting with a domain-specific knowledge source, a set of data-access services, each interacting with a clinical data source, and a computational service for deriving knowledge-based abstractions of the data.
Artificial Intelligence↗
Anatomy atlases.
Anatomy atlases are unlike other knowledge sources in the health sciences in that they communicate knowledge through annotated images without the support of narrative text. An analysis of the knowledge component represented by images and the history of anatomy atlases suggest some distinctions that should be made between atlas and textbook illustrations. Textbook and atlas should synergistically promote the generation of a mental model of anatomy. The objective of such a model is to support anatomical reasoning and thereby replace memorization of anatomical facts. Criteria are suggested for selecting anatomy texts and atlases that complement one another, and the advantages and disadvantages of hard copy and computer-based anatomy atlases are considered.
Anatomy↗
HIV: knowledge and sexual practices amongst students of a school of communnity health in Lagos, Nigeria.
A cross sectional study was conducted amongst students of a school of health technology in Yaba. Lagos. Nigeria to determine their knowledge about HIV/AIDS and their sexual practices. A self-administered questionnaire was used to collect data. Two hundred and thirty-six students out of 250 participated in the study (94% response rate). The mean age was 24.7+5.2 years, 167 (71%) respondents were females while 69 (29%) were males. One hundred and seventy-seven (75%) students were single and 59 (25%) were married. Knowledge on HIV was graded using twenty-nine items on the questionnaire, each scored one mark. A maximum score of 29 was obtainable and respondents with scores greater than 50% were classified as having a satisfactory level of knowledge. Ninety-nine percent had heard about HIV/AIDS through several sources. Knowledge of symptoms, methods of transmission and prevention were generally satisfactory. One hundred and seventy one (72%) students were sexually active, 48% engaged in casual sex and 9% had multiple partners. Of the 171 who were in sexual relationship with a primary partner, 49 (29%) used condoms all the time. One hundred and fourteen (48%) admitted to having casual sex but 60 (53%) used condoms all the time during casual sex. Partner and personal dislike as well as reduction in sexual pleasure were reasons for non-use of condoms. A significantly higher proportion of students in the higher classes (74/94, 79%) possessed a higher level of knowledge than those in the lower class (78/142, 55%, p=0.0003). One hundred and fifty-two (64%) students possessed a satisfactory level of knowledge on the subject, but many engaged in risky behaviour.
Adult↗
MEDSYNDIKATE--a natural language system for the extraction of medical information from findings reports.
MEDSYNDIKATE is a natural language processor, which automatically acquires medical information from findings reports. In the course of text analysis their contents is transferred to conceptual representation structures, which constitute a corresponding text knowledge base. MEDSYNDIKATE is particularly adapted to deal properly with text structures, such as various forms of anaphoric reference relations spanning several sentences. The strong demands MEDSYNDIKATE poses on the availability of expressive knowledge sources are accounted for by two alternative approaches to acquire medical domain knowledge (semi)automatically. We also present data for the information extraction performance of MEDSYNDIKATE in terms of the semantic interpretation of three major syntactic patterns in medical documents.
Confidence Intervals↗
Development of a knowledge-based decision support system for identifying adequate wastewater treatment for small communities.
The identification of adequate treatment for small communities is a complex problem since it makes it necessary to combine aspects of the community and landscape, the receiving environment, and the available wastewater treatment technologies. This paper presents the development and implementation of a Knowledge-Based Decision Support System (KB-DSS) to tackle this problem. Different knowledge sources have been consulted in order to make up a comprehensive and accurate knowledge base. The core of the KB-DSS embraces two objectives. The first one is to assist in the selection of the treatment level adequate to fulfil the target quality standards for the receiving environment. The second one is to select the specific type of treatment. The KB-DSS is being applied to each one of the 3,482 different small communities comprised in the Small Communities Wastewater Treatment Plan of Catalonia, grouped according to river catchments. This paper also summarizes the different steps involved in the operation of the knowledge-based DSS when solving a real case study.
Artificial Intelligence↗