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1.
Acta pediatr. esp ; 76(1/2): 28-34, ene.-feb. 2018. tab, ilus
Article in Spanish | IBECS | ID: ibc-172423

ABSTRACT

En este trabajo se presenta la Colección Principal de Web of Science y, más concretamente, el Science Citation Index-Expanded, como base de datos bibliográfica para el cálculo de indicadores de actividad científica. Se lleva a cabo un análisis de las publicaciones del área de pediatría a través de la categoría Pediatrics, exponiendo las distintas opciones de búsqueda, así como la visualización de los resultados obtenidos. Entre las funciones más destacadas de la Colección Principal de Web of Science se detalla el «Análisis de resultados», adecuado para el cálculo de indicadores de producción científica, y la función «Crear un informe de citas», relacionada con los indicadores de citación e impacto (AU)


This paper presents the Web of Science Core Collection and more particularly the Science Citation Index-Expanded as a bibliographic database to obtain bibliometric indicators of scientific activity. An analysis of pediatric publications through Pediatrics cate-gory is performed explaining the different search options which are available in the database as well as a detailed visualization of the possible options that can be made with the results. Among the main functions offered by the Web of Science Core Collection, the «Analyze results» function is a useful tool for the calculation of scientific production indicators, and the function «Create citation report» which is related to citation impact based indicators (AU)


Subject(s)
Humans , Bibliometrics , Science, Technology and Innovation Indicators , 50088 , Periodicals as Topic/statistics & numerical data , PubMed/statistics & numerical data , Information Systems/classification , Information Systems , Journal Impact Factor
2.
Adv Exp Med Biol ; 939: 259-287, 2016.
Article in English | MEDLINE | ID: mdl-27807751

ABSTRACT

The development of information technology has resulted in its penetration into every area of clinical research. Various clinical systems have been developed, which produce increasing volumes of clinical data. However, saving, exchanging, querying, and exploiting these data are challenging issues. The development of Extensible Markup Language (XML) has allowed the generation of flexible information formats to facilitate the electronic sharing of structured data via networks, and it has been used widely for clinical data processing. In particular, XML is very useful in the fields of data standardization, data exchange, and data integration. Moreover, ontologies have been attracting increased attention in various clinical fields in recent years. An ontology is the basic level of a knowledge representation scheme, and various ontology repositories have been developed, such as Gene Ontology and BioPortal. The creation of these standardized repositories greatly facilitates clinical research in related fields. In this chapter, we discuss the basic concepts of XML and ontologies, as well as their clinical applications.


Subject(s)
Electronic Health Records/statistics & numerical data , Information Systems/organization & administration , Medical Informatics/methods , Clinical Trials as Topic , Databases, Factual , Humans , Information Dissemination , Information Systems/classification , Internet , Programming Languages
3.
Rev. argent. salud publica ; 4(16): 16-23, set. 2013. tab
Article in Spanish | LILACS | ID: lil-767334

ABSTRACT

INTRODUCCIÓN: Investigar la formación profesionalde los técnicos en salud en Argentina es prioritaria dada la heterogeneidad de la oferta educativa que complejiza la inserción laboral y la regulación del ejercicio. OBJETIVO: Analizar la situación y características de la educación profesional de nivel superior para los trabajadores técnicos en salud en Argentina. MÉTODOS: Se realizó un estudio descriptivo, cuantitativo y transversal, con fuentes de datos secundarias y primarias durante 2010-2011. RESULTADOS: Se relevaron 370 instituciones educativas concentradas en la Región Centro (64%). La formación en el nivel terciario era del 87%, con una mayoría de gestión privada (71,3%). La formación universitaria dependía principalmente del sector público (73,9%). De las 852 carreras relevadas, casi el 30% correspondía a Enfermería, 12,4%a Laboratorio, 11,9% a Sanidad, 11,6% a Radiología y 10,1% a Instrumentación Quirúrgica. Se registraron 78.972 alumnos, con una cantidad predominante en Enfermería (39%) y Radiología (12%). CONCLUSIONES: La formación de técnicos en salud se distribuye en toda Argentina, aunque con una oferta desigual. Las diferencias estructurales entre las instituciones terciarias y universitarias obstaculizan la circulación entre ambos subsistemas. La complejidad del sistema de educación superior presenta una serie de desafíos que exigen el involucramiento conjunto de las carteras educativa y sanitaria para planificar y desarrollar estos recursos a nivel nacional.


INTRODUCTION: The research of the professional training of health technicians in Argentina is apriority area because of the heterogeneous educational offer that makes entry into the labor market and regulation of exercise more difficult. OBJECTIVE: To analyze the situation and characteristics of professional high education for health technicians in Argentina. METHODS: A descriptive, quantitative and cross-sectional study was conducted, with secondary and primary data sources during 2010-2011. RESULTS: The 370 educational institutions included in the survey were concentrated in the Central Region (64%).The training at tertiary level was 87%, mostly privately managed (71.3%). University education depended mostly on public sector (73.9%). Of the 852 careers surveyed, almost 30% were Nursing, Lab 12.4%, Health 11.9%, Radiology 11.6% and Surgical Instrumentation 10.1%. There were 78972 students, most of them in Nursing (39%) and Radiology (12%). CONCLUSIONS: The training offer for health technicians is unequally distributed in Argentina. Structural differences between tertiary institutions and universities make it difficult to move from one subsystem to the other. The complexity of high education system poses different challenges requiring the involvement of both Education and Health ministries for planning and development of these resources at national level.


Subject(s)
Humans , Allied Health Personnel , Education, Professional , Cross-Sectional Studies/statistics & numerical data , Universities , Statistical Distributions , Information Systems/classification
4.
Fed Regist ; 76(31): 8637-49, 2011 Feb 15.
Article in English | MEDLINE | ID: mdl-21351676

ABSTRACT

The Food and Drug Administration (FDA), on its own initiative, is issuing a final rule to reclassify Medical Device Data Systems (MDDSs) from class III (premarket approval) into class I (general controls). MDDS devices are intended to transfer, store, convert from one format to another according to preset specifications, or display medical device data. MDDSs perform all intended functions without controlling or altering the function or parameters of any connected medical devices. An MDDS is not intended to be used in connection with active patient monitoring. FDA is exempting MDDSs from the premarket notification requirements.


Subject(s)
Equipment Safety/classification , Equipment and Supplies , Government Regulation , Information Systems/classification , Humans , United States , United States Food and Drug Administration
5.
Rev Saude Publica ; 45(1): 31-9, 2011 Feb.
Article in English, Portuguese | MEDLINE | ID: mdl-21181049

ABSTRACT

OBJECTIVE: To analyze underreporting of deaths and hospital admissions from tuberculosis to the Information System for Notifiable Diseases (SINAN). METHODS: Cases with tuberculosis as basic or associated cause of death were selected from the Brazilian Mortality Information System (SIM) and hospital admissions for tuberculosis as main or secondary cause from the Hospital Information System of the Brazilian Unified Health System (SIH-SUS), for residents in the municipality of Rio de Janeiro in 2004. Probabilistic record linkage was carried out between the SIM and SIH-SUS databases and the SINAN for the years 2002 to 2004. RESULTS: Out of the 542 deaths from tuberculosis in the period, 234 (43.2%) were not registered in the SINAN for the two previous years. As for the 1,079 admissions, 238 (22.1%) failed to be notified. Seventy-one deaths were related to these admissions: 47 were registered out of the SIH-SUS by death, 24 occurred after discharge and seven remained unnotified in the SINAN. The elderly were 1.6 times (95%CI 1.074;2.516) less likely to be notified than younger patients, and those with at least a college education were 3.6 times (95%CI 1.384;11.022) less likely to be notified than those with no formal education. Patients under 15 were 4.8 times (95%CI 2.757;8.452) less likely to be notified than those aged between 15 and 59 years. Some regional health administration divisions showed a percentage of unnotified deaths of over 50% and this percentage ranged from 37.8% to 12.7% for hospital admissions. CONCLUSIONS: The data suggest problems in the detection of cases and point to obstacles in adequate and timely treatment, as well as to quality flaws in the information system, with differences among regions in the municipality.


Subject(s)
Hospitalization/statistics & numerical data , Information Systems/standards , Tuberculosis/mortality , Adolescent , Adult , Brazil/epidemiology , Cause of Death , Disease Notification/standards , Disease Notification/statistics & numerical data , Female , Humans , Information Systems/classification , Male , Middle Aged , Odds Ratio , Young Adult
7.
Prensa méd. argent ; 95(5): 299-304, jul. 2008.
Article in Spanish | LILACS | ID: lil-522003

ABSTRACT

As an organizative company, a sanitary institution must take in a charge the coordination of activities tending to achieve the recovery or relief of a concrete suffering in the less time possible and also with the smallest degree of rupture of the patient with the surrounding domestic and social environment...


Subject(s)
Decision Support Systems, Clinical , Information Management/statistics & numerical data , Information Management/organization & administration , Health Management , Information Systems/classification , Information Systems/statistics & numerical data
10.
Telemed J E Health ; 13(3): 349-58, 2007 Jun.
Article in English | MEDLINE | ID: mdl-17603838

ABSTRACT

Telemedicine allows medical doctors and specialized skilled experts to provide services to patients who are in remote locations using advanced telecommunications. This paper presents a taxonomy that systematically classifies various telemedicine efforts worldwide using five major dimensions: application purpose, application area, environmental setting, communication infrastructure, and delivery options. To identify relationships and patterns between these different dimensions telemedicine programs survey data from the Telemedicine Information Exchange (TIE) was analyzed using multiple regression and path analysis. Major findings indicate that interactive video is the most preferred modality. Store-and-forward technology is preferred for ophthalmology, radiology, and pathology. However, a negative correlation exists between store-and-forward and interactive video with mental health application. The study also indicates that the Internet is still not the dominant communications infrastructure when it comes to telemedicine. We showed that these dimensions can capture almost all efforts in telemedicine and also help program planners to understand the issues in telemedicine deployment. Our findings indicate that the taxonomy is useful for categorizing and comparing existing programs, and can be used for planning future programs.


Subject(s)
Medical Informatics Applications , Telemedicine/classification , Data Collection , Delivery of Health Care , Global Health , Humans , Information Systems/classification , Internet , Medicine , Specialization , Systems Analysis , Telecommunications/classification , Telemedicine/trends , Videoconferencing/classification
15.
Todo hosp ; (234): 101-105, mar. 2007. ilus, tab
Article in Spanish | IBECS | ID: ibc-61873

ABSTRACT

En este artículo se describen las consideraciones prácticas, los sistemas informáticos para la adquisición de las constantes vitales y la consignación de órdenes médicas en las Unidades de Cuidados Intensivos. Asimismo, se analiza la confección de un cuadro de mandos integral con los indicadores asistenciales con el objeto de facilitar la gestión de la UCI (AU)


This article describes the practical considerations of information systems for obtaining vital signs and the allocation of medical orders in intensive care units. It also analyses the generation of an integral control panel with care indicators with the aim for facilitating ICU management (AU)


Subject(s)
Humans , Male , Female , Information Systems/classification , Information Systems/instrumentation , Information Systems/trends , Intensive Care Units/organization & administration , Intensive Care Units/trends , Medical Informatics/methods , Medical Informatics/trends , Information Systems/ethics , Information Systems/organization & administration , Information Systems/standards , Intensive Care Units/standards , Intensive Care Units , Indicators of Health Services/methods , Indicators of Quality of Life , Health Status Indicators , Quality Indicators, Health Care
16.
Acta Med Port ; 20(6): 567-74, 2007.
Article in Portuguese | MEDLINE | ID: mdl-18331701

ABSTRACT

INTRODUCTION: The large amount of information in the medical area creates management problems, being necessary systematic methods for filing and retrieval. With information on the context of clinical records, methods must integrate controlled biomedical terminologies and desirable characteristics oriented to the structure, content and clinical results. The objective is to test the applicability and capacity for retrieval of a multidimensional system developed for classification and management of health information. METHODS: Three hundred questions were randomly selected, by computerized method, from the questions received in six years (Medicine Information Service, Pharmaceutical Department, Coimbra University Hospitals). They were characterized and applicability evaluated by classified amount and need to alter the system, which is composed of various independent dimensions, incorporating concepts sometimes hierarchical. Questions retrieval was tested searching information in a dimension or between dimensions. RESULTS: All questions were classified: 53% are clinical cases with illnesses incidence in the genitourinary system; metabolic, nutritional and endocrine disease; cancer; infections and nervous system. In 81%, the object is a drug, mostly anti-infectious and anti-neoplastic agents. The therapeutic and safety areas had been the most requested, regarding the subjects: use, adverse reactions, drug identification and pharmaceutical technology. As to applicability, it was necessary to add some concepts and modify same hierarchical groups, that didn't modify the basic structure, nor had collided with the desirable characteristics. The limitations were related with the incorporated external classification systems. The search in the subject dimension of the concept drug administration retrieved 19 questions. The search between two dimensions: antiinfectious (external) and teratogenicity (subject) retrieved three questions. In the two examples, it was possible to retrieve information from any one of the levels of the hierarchy, from the most general to the most specific and even from external dimensions. CONCLUSIONS: The use of the system in this sample showed its applicability in clinical information classification and filing, retrieval capacity and flexibility, supporting modifications without interfering with desirable characteristics. This tool allows retrieval of patient-oriented evidence that matters.


Subject(s)
Information Management/methods , Information Systems/classification
17.
Healthc Financ Manage ; 60(7): 92-4, 96, 2006 Jul.
Article in English | MEDLINE | ID: mdl-16869330
18.
Health Manag Technol ; 25(10): 72-4, 2004 Oct.
Article in English | MEDLINE | ID: mdl-15508695
20.
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