scholarly journals Electronic Case Report Form Technical Design Document

2020 ◽  
Author(s):  
2012 ◽  
Vol 12 (12) ◽  
pp. 714-720
Author(s):  
Young-Hwa Baek ◽  
Ho-Seok Kim ◽  
Si-Woo Lee ◽  
Hee-Jeong Jin

2019 ◽  
Vol 22 ◽  
pp. S113
Author(s):  
M. Labrador ◽  
A. Seshatri ◽  
D. Garofalo ◽  
J. Webster ◽  
M. Gopalkrishna ◽  
...  

2019 ◽  
Vol 6 (2) ◽  
pp. 41-41
Author(s):  
Virginia Abello Polo ◽  
María Helena Solano ◽  
Iván Perdomo ◽  
Kenny Galves ◽  
José Domingo Saavedra ◽  
...  

Introducción: la ACHO está comprometida con la creación de un grupo de investigación que se encargue de desarrollar un análisis del patrón epidemiológico de los principales tipos de neoplasias hematológicas en el país. La primera neoplasia que será analizada es el mieloma múltiple (MM); este es el primer reporte preliminar de los hallazgos de este registro, que incluye información de 10 centros con investigadores de la ACHO y cuyo objetivo principal es describir el perfil epidemiológico del MM en la población colombiana y su relación con factores de mal pronóstico. Métodos: se propone un estudio descriptivo observacional multicéntrico bidireccional (retrospectivo hasta máximo 10 años y prospectivo) de 100 casos de MM en Colombia. Se recolectarán datos sociodemográficos, criterios diagnósticos de las patologías, factores pronósticos e intervenciones terapéuticas. Los datos han sido recopilados usando un Electronic Case Report Form (eCRF), compuesto de pestañas de información de acuerdo con las variables de interés del estudio. Todos los pacientes objeto de reclutamiento y aptos para ser incluidos deberán contar con consentimiento informado firmado antes del ingreso al registro epidemiológico. Resultados: los datos del registro están en recolección, los resultados estarán disponibles en la fecha final. Conclusión: los datos del registro están en recolección, los resultados estarán disponibles en la fecha final.


F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 81
Author(s):  
Sander de Ridder ◽  
Jeroen A.M. Beliën

Semantic interoperability of clinical data is essential to preserve its meaning and intent when the data is exchanged, re-used or integrated with other data. Achieving semantic operability requires the use of a communication standard, such as HL7, as well as (functional) information standards. Manually mapping clinical data to a medical thesaurus, such as SNOMED CT, is complicated and requires expert knowledge of both the dataset, including its context, and the thesaurus. As an alternative, the (re-)use of codebooks, data definitions which may already have been mapped to a thesaurus, can be a viable approach. We’ve developed the iCRF Generator, a Java program that can generate the core of an interoperable electronic case report form (iCRF) for several of the major electronic data capture systems (EDCs). To build their CRFs, users can select one or more items from established codebooks, available from an online system called ART-DECOR. By providing an easy to use method to create CRFs for multiple EDCs based on the same codebooks, interoperability can be more easily attained.


2011 ◽  
Vol 47 ◽  
pp. S216
Author(s):  
K.N.M. Knud Mejer ◽  
T.G. Torben Gøth ◽  
G.D. Gedske Daugaard ◽  
B.C. Birgitte Christiansen ◽  
D.N. Dorte Nielsen

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 81
Author(s):  
Sander de Ridder ◽  
Jeroen A.M. Beliën

Semantic interoperability of clinical data is essential to preserve its meaning and intent when the data is exchanged, re-used or integrated with other data. Achieving semantic operability requires the use of a communication standard, such as HL7, as well as (functional) information standards. Manually mapping clinical data to a medical thesaurus, such as SNOMED CT, is complicated and requires expert knowledge of both the dataset, including its context, and the thesaurus. As an alternative, the (re-)use of codebooks, data definitions which may already have been mapped to a thesaurus, can be a viable approach. We’ve developed the iCRF Generator, a Java program that can generate the core of an interoperable electronic case report form (iCRF) for several of the major electronic data capture systems (EDCs). To build their CRFs, users can select one or more items from established codebooks, available from an online system called ART-DECOR. By providing an easy to use method to create CRFs for multiple EDCs based on the same codebooks, interoperability can be more easily attained.


2021 ◽  
Author(s):  
Felix C Koehler ◽  
Linda Blomberg ◽  
Thomas Theo Brehm ◽  
Stefan Büttner ◽  
Oliver A Cornely ◽  
...  

Abstract Background Frequent outbreaks around the globe and endemic appearance in different parts of the world emphasize the substantial risk of hantavirus diseases. Increasing incidence rates, trends of changing distribution of hantavirus species and new insights into clinical courses of hantavirus diseases call for multinational surveillance. Furthermore, evidence-based guidelines for the management of hantavirus diseases and scoring systems, which allow stratification of patients into risk categories, are lacking. Methods Hantavirus registry (HantaReg) is a novel registry platform facilitating multinational research of hantavirus-caused diseases, such as haemorrhagic fever with renal syndrome (HFRS) and hantavirus cardiopulmonary syndrome (HCPS). HantaReg provides an electronic case report form and uses the General Data Protection Regulation compliant platform clinicalsurveys.net, which can be accessed from any internet browser in the world. Having a modular structure, the registry platform is designed to display or hide questions and items according to the documented case (e.g. patient with HFRS versus HCPS) to facilitate fast, but standardized, data entry. Information categories documented in HantaReg are demographics, pre-existing diseases, clinical presentation, diagnostic and therapeutic approaches, as well as outcome. Conclusions HantaReg is a novel, ready-to-use platform for clinical and epidemiological studies on hantavirus diseases and facilitates the documentation of the disease course associated with hantavirus infections. HantaReg is expected to promote international collaboration and contributes to improving patient care through the analysis of diagnostic and treatment pathways for hantavirus diseases, providing evidence for robust treatment recommendations. Moreover, HantaReg enables the development of prognosis-indicating scoring systems for patients with hantavirus disease.


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