1999 - Member of the National Academy of Medicine (NAM)
Robert A. Greenes focuses on Clinical decision support system, Knowledge management, Decision support system, Guideline and Knowledge representation and reasoning. His Clinical decision support system study combines topics from a wide range of disciplines, such as Scheduling, Management science and Information retrieval. His biological study spans a wide range of topics, including Health informatics, R-CAST, Process and Decision analysis.
His research integrates issues of Knowledge integration, Medical physics, MEDLINE and Operations research in his study of Decision support system. The various areas that Robert A. Greenes examines in his Guideline study include Multiple-criteria decision analysis, Set, Artificial intelligence and Software design. His Knowledge representation and reasoning research also works with subjects such as
Robert A. Greenes mainly investigates Knowledge management, Clinical decision support system, Decision support system, Health care and Guideline. He combines subjects such as Collaboratory, Knowledge base, Process and Knowledge representation and reasoning with his study of Knowledge management. His work in Clinical decision support system addresses subjects such as Workflow, which are connected to disciplines such as Implementation.
His research on Decision support system focuses in particular on R-CAST. His work is dedicated to discovering how Health care, Information system are connected with Variety and other disciplines. Data mining is closely connected to Artificial intelligence in his research, which is encompassed under the umbrella topic of Guideline.
His primary areas of investigation include Clinical decision support system, Knowledge management, Health care, Health informatics and Guideline. His Clinical decision support system study is concerned with Decision support system in general. His study with Decision support system involves better knowledge in Artificial intelligence.
Robert A. Greenes has included themes like Metadata, Executable, Process and Knowledge representation and reasoning in his Knowledge management study. His study in the field of Health Administration Informatics also crosses realms of Workbench. His research investigates the connection between Guideline and topics such as Medical emergency that intersect with issues in Family medicine.
Robert A. Greenes mostly deals with Clinical decision support system, Guideline, Decision support system, Documentation and Process management. The study incorporates disciplines such as Knowledge management, Scope, Medical emergency, Workflow and Implementation in addition to Clinical decision support system. His study in Workflow is interdisciplinary in nature, drawing from both Interoperability and Knowledge representation and reasoning.
Guideline is closely attributed to Data science in his work. Robert A. Greenes has researched Decision support system in several fields, including Software deployment, MEDLINE, Test case, Chart review and Primary health care. His Software deployment study combines topics in areas such as Health care, Artificial intelligence and Natural language processing.
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Clinical decision support systems for the practice of evidence-based medicine.
I. Sim;P. Gorman;R. A. Greenes;R. B. Haynes.
Assessment of diagnostic tests when disease verification is subject to selection bias.
Colin B. Begg;Robert A. Greenes.
Comparing computer-interpretable guideline models: a case-study approach.
Mor Peleg;Samson W. Tu;Jonathan Bury;Paolo Ciccarese.
The guideline interchange format: a model for representing guidelines.
Lucila Ohno-Machado;John H. Gennari;Shawn N. Murphy;Nilesh L. Jain.
Medical informatics. An emerging academic discipline and institutional priority.
Robert A. Greenes;Edward H. Shortliffe.
GLIF3: the evolution of a guideline representation format.
Mor Peleg;Aziz A. Boxwala;Omolola Ogunyemi;Qing T. Zeng.
GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines
Aziz A. Boxwala;Mor Peleg;Samson Tu;Omolola Ogunyemi.
Clinical Decision Support: The Road Ahead
Robert A. Greenes.
Testing the technology acceptance model for evaluating healthcare professionals' intention to use an adverse event reporting system.
Jen Her Wu;Wen Shen Shen;Li Min Lin;Robert Greenes.
Representation primitives, process models and patient data in computer-interpretable clinical practice guidelines: a literature review of guideline representation models.
Dongwen Wang;Mor Peleg;Samson W Tu;Aziz A Boxwala.
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