eSource for clinical trials: Implementation and evaluation of a standards-based approach in a real world trial.
Int J Med Inform
; 106: 17-24, 2017 10.
Article
em En
| MEDLINE
| ID: mdl-28870379
ABSTRACT
OBJECTIVE:
The Learning Health System (LHS) requires integration of research into routine practice. 'eSource' or embedding clinical trial functionalities into routine electronic health record (EHR) systems has long been put forward as a solution to the rising costs of research. We aimed to create and validate an eSource solution that would be readily extensible as part of a LHS. MATERIALS ANDMETHODS:
The EU FP7 TRANSFoRm project's approach is based on dual modelling, using the Clinical Research Information Model (CRIM) and the Clinical Data Integration Model of meaning (CDIM) to bridge the gap between clinical and research data structures, using the CDISC Operational Data Model (ODM) standard. Validation against GCP requirements was conducted in a clinical site, and a cluster randomised evaluation by site nested into a live clinical trial.RESULTS:
Using the form definition element of ODM, we linked precisely modelled data queries to data elements, constrained against CDIM concepts, to enable automated patient identification for specific protocols and pre-population of electronic case report forms (e-CRF). Both control and eSource sites recruited better than expected with no significant difference. Completeness of clinical forms was significantly improved by eSource, but Patient Related Outcome Measures (PROMs) were less well completed on smartphones than paper in this population.DISCUSSION:
The TRANSFoRm approach provides an ontologically-based approach to eSource in a low-resource, heterogeneous, highly distributed environment, that allows precise prospective mapping of data elements in the EHR.CONCLUSION:
Further studies using this approach to CDISC should optimise the delivery of PROMS, whilst building a sustainable infrastructure for eSource with research networks, trials units and EHR vendors.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
1_ASSA2030
Base de dados:
MEDLINE
Assunto principal:
Sistemas Computacionais
/
Sistemas de Informação
/
Ensaios Clínicos como Assunto
/
Armazenamento e Recuperação da Informação
/
Registros Eletrônicos de Saúde
/
Implementação de Plano de Saúde
Tipo de estudo:
Clinical_trials
/
Evaluation_studies
/
Guideline
/
Prognostic_studies
/
Sysrev_observational_studies
Aspecto:
Implementation_research
/
Patient_preference
Limite:
Humans
Idioma:
En
Revista:
Int J Med Inform
Ano de publicação:
2017
Tipo de documento:
Article