Search Results - "Greenes, Robert A."
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Machine learning approaches for the prediction of bone mineral density by using genomic and phenotypic data of 5130 older men
Published in Scientific reports (24-02-2021)“…The study aimed to utilize machine learning (ML) approaches and genomic data to develop a prediction model for bone mineral density (BMD) and identify the best…”
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GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines
Published in Journal of biomedical informatics (01-06-2004)“…The Guideline Interchange Format (GLIF) is a model for representation of sharable computer-interpretable guidelines. The current version of GLIF (GLIF3) is a…”
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Clinical decision support models and frameworks: Seeking to address research issues underlying implementation successes and failures
Published in Journal of biomedical informatics (01-02-2018)“…[Display omitted] •Computer-based clinical decision support (CDS) has had suboptimal adoption and use.•Many dimensions of the problem, that could potentially…”
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Clinical Decision Support: The Road to Broad Adoption
Published 2014“…This book examines the nature of medical knowledge, how it is obtained, and how it can be used for decision support. It provides complete coverage of…”
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Evaluation of the effect of decision support on the efficiency of primary care providers in the outpatient practice
Published in Journal of primary care & community health (01-01-2015)“…Clinical decision support (CDS) for primary care has been shown to improve delivery of preventive services. However, there is little evidence for efficiency of…”
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Clinical Decision Support and Beyond: Progress and Opportunities in Knowledge-Enhanced Health and Healthcare
Published 2023“…Clinical Decision Support and Beyond: Progress and Opportunities in Knowledge-Enhanced Health and Healthcare, now in its third edition, discusses the…”
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Automated Recommendation for Cervical Cancer Screening and Surveillance
Published in Cancer informatics (15-10-2014)“…Because of the complexity of cervical cancer prevention guidelines, clinicians often fail to follow best-practice recommendations. Moreover, existing clinical…”
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Clinical decision support with automated text processing for cervical cancer screening
Published in Journal of the American Medical Informatics Association : JAMIA (01-09-2012)“…To develop a computerized clinical decision support system (CDSS) for cervical cancer screening that can interpret free-text Papanicolaou (Pap) reports. The…”
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Testing the technology acceptance model for evaluating healthcare professionals' intention to use an adverse event reporting system
Published in International journal for quality in health care (01-04-2008)“…Background Many healthcare organizations have implemented adverse event reporting systems in the hope of learning from experience to prevent adverse events and…”
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Healthcare academic informatics and IT vendors – A modest proposal for a collaborative focus
Published in Journal of biomedical informatics (01-04-2016)Get full text
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Formative evaluation of the accuracy of a clinical decision support system for cervical cancer screening
Published in Journal of the American Medical Informatics Association : JAMIA (01-07-2013)“…We previously developed and reported on a prototype clinical decision support system (CDSS) for cervical cancer screening. However, the system is complex as it…”
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Preferences of older adults and their families for Meaningful Use clinical summaries
Published in mHealth (2018)“…This study assessed the perceptions of older adults regarding the plan of care (POC) contained in the clinical summary mandated by the Electronic Health…”
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Clinical decision support systems for the practice of evidence-based medicine
Published in Journal of the American Medical Informatics Association : JAMIA (01-11-2001)“…The use of clinical decision support systems to facilitate the practice of evidence-based medicine promises to substantially improve health care quality. To…”
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Categorizing metadata to help mobilize computable biomedical knowledge
Published in Learning health systems (01-01-2022)“…Introduction Computable biomedical knowledge artifacts (CBKs) are digital objects conveying biomedical knowledge in machine‐interpretable structures. As more…”
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Comparing computer-interpretable guideline models: a case-study approach
Published in Journal of the American Medical Informatics Association : JAMIA (01-01-2003)“…Many groups are developing computer-interpretable clinical guidelines (CIGs) for use during clinical encounters. CIGs use "Task-Network Models" for…”
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Healthcare information technology and economics
Published in Journal of the American Medical Informatics Association : JAMIA (01-03-2013)“…At the 2011 American College of Medical Informatics (ACMI) Winter Symposium we studied the overlap between health IT and economics and what leading healthcare…”
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Summary of fourth annual MCBK public meeting: Mobilizing computable biomedical knowledge—metadata and trust
Published in Learning health systems (01-01-2022)“…The exponential growth of biomedical knowledge in computable formats challenges organizations to consider mobilizing artifacts in findable, accessible,…”
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SMART—An Integrated Wireless System for Monitoring Unattended Patients
Published in Journal of the American Medical Informatics Association : JAMIA (01-01-2008)“…Monitoring vital signs and locations of certain classes of ambulatory patients can be useful in overcrowded emergency departments and at disaster scenes, both…”
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Summary of third annual MCBK public meeting: Mobilizing computable biomedical knowledge—Accelerating the second knowledge revolution
Published in Learning health systems (01-01-2021)“…The volume of biomedical knowledge is growing exponentially and much of this knowledge is represented in computer executable formats, such as models,…”
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Summary of second annual MCBK public meeting: Mobilizing Computable Biomedical Knowledge—A movement to accelerate translation of knowledge into action
Published in Learning health systems (01-04-2020)“…The volume of biomedical knowledge is growing exponentially and much of this knowledge is represented in computer executable formats, such as models,…”
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