Optimizing Care of Adults With Congenital Heart Disease in a Pediatric Cardiovascular ICU Using Electronic Clinical Decision Support (original) (raw)
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Yearbook of medical informatics, 2013
The field of clinical informatics has expanded substantially in the six decades since its inception. Early research focused on simple demonstrations that health information technology (HIT) such as electronic health records (EHRs), computerized provider order entry (CPOE), and clinical decision support (CDS) systems were feasible and potentially beneficial in clinical practice. In this review, we present recent evidence on clinical informatics in the United States covering three themes: 1) clinical informatics systems and interventions for providers, including EHRs, CPOE, CDS, and health information exchange; 2) consumer health informatics systems, including personal health records and web-based and mobile HIT; and 3) methods and governance for clinical informatics, including EHR usability; data mining, text mining, natural language processing, privacy, and security. Substantial progress has been made in demonstrating that various clinical informatics methodologies and applications ...
The clinical decision support consortium
Studies in health technology and informatics, 2009
Clinical decision support (CDS) can impact the outcomes of care when used at the point of care in electronic medical records (EMR). CDS has been shown to increase quality and patient safety, improve adherence to guidelines for prevention and treatment, and avoid medication errors. Systematic reviews have shown that CDS can be useful across a variety of clinical purposes and topics. Despite broad national policy objectives to increase EMR adoption in the US, current adoption of advanced clinical decision support is limited due to a variety of reasons, including: limited implementation of EMR, CPOE, PHR, etc., difficulty developing clinical practice guidelines ready for implementation in EMR, lack of standards, absence of a central repository or knowledge resource, poor support for CDS in commercial EMRs, challenges in integrating CDS into the clinical workflow, and limited understanding of organizational and cultural issues relating to clinical decision support. To better understand and overcome these barriers, and accelerate the translation of clinical practice guideline knowledge into CDS in EMRs, the CDS Consortium is established to assess, define, demonstrate, and evaluate best practices for knowledge management and clinical decision support in healthcare information technology at scale -across multiple ambulatory care settings and EHR technology platforms.
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Studies in Health Technology and Informatics, 2004
Clinical information technologies now sporadically available will soon be in routine clinical use, bringing many changes to healthcare. For example, 1) The next generation Internet; 2) Real-time clinical decision support systems; 3) Off-line, population-based systems; 4) Large, integrated, individual patient-level phenotypic and genotypic databases with intelligent data mining capabilities; 5) Wireless, invasive and non-invasive physiologic monitoring devices; 6) Natural Language Processing (NLP) systems; and 7) Mathematical models of complex biological systems have the potential to impact significantly the future healthcare delivery system. While new information management and communication techniques and technologies will reduce many of the inefficiencies and inaccuracies of our present systems, there will be an equal, and potentially far more dangerous, set of unintended consequences. Informatics investigators and health system administrators must focus on the study of what is working and what is not, as well as, on development and testing of the new clinical information management and communication technologies, if we are to be ready for the future.
The Open Medical Informatics Journal, 2010
The Morningside Initiative is a public-private activity that has evolved from an August, 2007, meeting at the Morningside Inn, in Frederick, MD, sponsored by the Telemedicine and Advanced Technology Research Center (TATRC) of the US Army Medical Research Materiel Command. Participants were subject matter experts in clinical decision support (CDS) and included representatives from the Department of Defense, Veterans Health Administration, Kaiser Permanente, Partners Healthcare System, Henry Ford Health System, Arizona State University, and the American Medical Informatics Association (AMIA). The Morningside Initiative was convened in response to the AMIA Roadmap for National Action on Clinical Decision Support and on the basis of other considerations and experiences of the participants. Its formation was the unanimous recommendation of participants at the 2007 meeting which called for creating a shared repository of executable knowledge for diverse health care organizations and pract...
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Yearbook of medical informatics, 2018
Clinical information systems (CISs) have generated opportunities for meaningful improvements both in patient care and workflow but there is still a long way to perfection. Healthcare providers are still facing challenges of data exchange, management, and integration due to lack of functionality among these systems. Our objective here is to systematically review, synthesize, and summarize the literature that describes the current stage of clinical information systems, so as to assess the current state of knowledge, and identify benefits and challenges. PubMed, EMBASE, and the bibliographies of articles were searched for studies published until September 1, 2017, which reported on significant advancement of clinical information systems, as well as problems and opportunities in this field. Studies providing the most detailed information were included and the others were kept only as references. We selected 23 papers out of 1,026 unique abstracts for full-text review using our select...
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2008
Abstract Informatics interventions generally take place in rapidly changing settings where many variables are outside the control of the evaluator. Assessment must be timely so that feedback can instigate modification of the intervention. Adapting a methodology from international health and epidemiology, we have developed and refined a Rapid Assessment Process (RAP) for informatics while conducting a study of clinical decision support (CDS) in community hospitals.