RESUMEN
The Center for Expanded Data Annotation and Retrieval is studying the creation of comprehensive and expressive metadata for biomedical datasets to facilitate data discovery, data interpretation, and data reuse. We take advantage of emerging community-based standard templates for describing different kinds of biomedical datasets, and we investigate the use of computational techniques to help investigators to assemble templates and to fill in their values. We are creating a repository of metadata from which we plan to identify metadata patterns that will drive predictive data entry when filling in metadata templates. The metadata repository not only will capture annotations specified when experimental datasets are initially created, but also will incorporate links to the published literature, including secondary analyses and possible refinements or retractions of experimental interpretations. By working initially with the Human Immunology Project Consortium and the developers of the ImmPort data repository, we are developing and evaluating an end-to-end solution to the problems of metadata authoring and management that will generalize to other data-management environments.
Asunto(s)
Investigación Biomédica , Minería de Datos , Conjuntos de Datos como Asunto , Ontologías Biológicas , Humanos , Almacenamiento y Recuperación de la Información , Estados UnidosRESUMEN
If Electronic Health Record systems are to provide an effective contribution to healthcare, a set of benchmarks need to be set to ensure quality control and interoperability of systems. This paper outlines the prevailing status of EHR certification in the US and the EU, compares and contrasts established schemes and poses opportunities for convergence of activity in the domain designed to advance certification endeavours generally. Several EU Member States have in the past proceeded with EHR systems quality labeling and/or certification, but these differ in scope, in legal framework under which they operate, in policies (legislation and financial incentives), in organization, and perhaps most importantly in the quality criteria used for benchmarking. Harmonization, therefore, became a must. Now, through EuroRec (with approaches ranging from self-assessment to third party certification depending on the level of confidence needed) and its Seals, the possibility to achieve this for EHR systems has started in the whole of Europe. The US HITECH Act also attempts to create incentives for all hospitals and eligible providers to adopt and use electronic information. A centerpiece of the Act is to put in place strong financial incentives to adopt and meaningfully use EHRs. The HHS/EHR Certification Programme makes use of ISO/IEC 170XX standards for accreditation, testing and certification. The approved test method addresses the functional and the interoperability requirements defined in the Final Rule criteria and standards. To date six Authorized Testing and Certification Bodies (ATCBs) are testing and certifying products in the US.
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Certificación , Registros Electrónicos de Salud/normas , Cooperación Internacional , Registro Médico Coordinado/normas , Benchmarking , Europa (Continente) , Salud Global , Política de Salud , Control de Calidad , Semántica , Integración de Sistemas , Estados Unidos , Interfaz Usuario-ComputadorRESUMEN
This article examines the role of computation and quantitative methods in modern biomedical research to identify emerging scientific, technical, policy and organizational trends. It identifies common concerns and practices in the emerging community of computationally-oriented bio-scientists by reviewing a national symposium, Digital Biology: the Emerging Paradigm, held at the National Institutes of Health in Bethesda, Maryland, November 6th and 7th 2003. This meeting showed how biomedical computing promises scientific breakthroughs that will yield significant health benefits. Three key areas that define the emerging discipline of digital biology are: scientific data integration, multi-scale modeling and networked science. Each area faces unique technical challenges and information policy issues that must be addressed as the field matures. Here we summarize the emergent challenges and offer suggestions to academia, industry and government on how best to expand the role of computation in their scientific activities.