AIMC Topic: Meaningful Use

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Augmenting the Transplant Team With Artificial Intelligence: Toward Meaningful AI Use in Solid Organ Transplant.

Frontiers in immunology Jun 11, 2021
Advances in systems immunology, such as new biomarkers, offer the potential for highly personalized immunosuppression regimens that could improve patient outcomes. In the future, integrating all of this information with other patient history data wil...
Humans Artificial Intelligence Decision Support Techniques Clinical Decision-Making Pattern Recognition, Automated Therapy, Computer-Assisted Patient Care Team Meaningful Use Reproducibility of Results Organ Transplantation Data Mining
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Tool-supported Interactive Correction and Semantic Annotation of Narrative Clinical Reports.

Methods of information in medicine Apr 28, 2017
OBJECTIVES: Our main objective is to design a method of, and supporting software for, interactive correction and semantic annotation of narrative clinical reports, which would allow for their easier and less erroneous processing outside their origina...
Vocabulary, Controlled Meaningful Use Word Processing Semantics Software Electronic Health Records Machine Learning Data Accuracy International Classification of Diseases Writing Guidelines as Topic User-Computer Interface Natural Language Processing
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Relating Complexity and Error Rates of Ontology Concepts. More Complex NCIt Concepts Have More Errors.

Methods of information in medicine Feb 28, 2017
OBJECTIVES: Ontologies are knowledge structures that lend support to many health-information systems. A study is carried out to assess the quality of ontological concepts based on a measure of their complexity. The results show a relation between com...
Humans Models, Statistical Natural Language Processing Quality Assurance, Health Care Biological Ontologies Computer Simulation Neoplasms United States National Cancer Institute (U.S.) Comprehension Vocabulary, Controlled Meaningful Use
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Characteristics of outpatient clinical summaries in the United States.

International journal of medical informatics Jun 11, 2016
In the United States, federal regulations require that outpatient practices provide a clinical summary to ensure that patients understand what transpired during their appointment and what to do before the next visit. To determine whether clinical sum...
Outpatients Health Literacy Reading Meaningful Use Continuity of Patient Care Patient Education as Topic Patient Discharge Humans Comprehension Electronic Health Records Physicians United States Natural Language Processing
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Digital Family History Data Mining with Neural Networks: A Pilot Study.

Perspectives in health information management Jan 1, 2016
Following the passage of the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009, electronic health records were widely adopted by eligible physicians and hospitals in the United States. Stage 2 meaningful use menu obj...
Humans Neural Networks, Computer Male Pilot Projects Electronic Health Records Florida Aged Human Genome Project Prisoners American Recovery and Reinvestment Act Vietnam Conflict Surveys and Questionnaires Data Mining United States Veterans Family Health Health Status Meaningful Use
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[Not Available].

Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) Sep 10, 2015
Meaningful Use Data Accuracy Datasets as Topic Information Storage and Retrieval Computer Security Electronic Health Records Knowledge Bases Data Collection
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Supporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE).

Journal of biomedical informatics May 13, 2015
OBJECTIVE: This paper describes the University of Michigan's nine-year experience in developing and using a full-text search engine designed to facilitate information retrieval (IR) from narrative documents stored in electronic health records (EHRs)....
Software Electronic Health Records Michigan Natural Language Processing Meaningful Use Search Engine Data Mining Software Validation
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Automated misspelling detection and correction in clinical free-text records.

Journal of biomedical informatics Apr 24, 2015
Accurate electronic health records are important for clinical care and research as well as ensuring patient safety. It is crucial for misspelled words to be corrected in order to ensure that medical records are interpreted correctly. This paper descr...
Vocabulary, Controlled Meaningful Use Word Processing Machine Learning Natural Language Processing Electronic Health Records Data Accuracy Quality Assurance, Health Care
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Improving Terminology Mapping in Clinical Text with Context-Sensitive Spelling Correction.

Studies in health technology and informatics Jan 1, 2017
The mapping of unstructured clinical text to an ontology facilitates meaningful secondary use of health records but is non-trivial due to lexical variation and the abundance of misspellings in hurriedly produced notes. Here, we apply several spelling...
Systematized Nomenclature of Medicine Vocabulary, Controlled Meaningful Use Sweden Natural Language Processing Quality Assurance, Health Care Algorithms Electronic Health Records
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Enhancing Patient Safety Event Reporting by K-nearest Neighbor Classifier.

Studies in health technology and informatics Jan 1, 2015
Data quality was placed as a major reason for the low utility of patient safety event reporting systems. A pressing need in improving data quality has advanced recent research focus in data entry associated with human factors. The debate on structure...
Data Accuracy United States Quality Improvement Medical Errors Risk Management Machine Learning Pattern Recognition, Automated Meaningful Use Data Mining Patient Safety Decision Support Systems, Clinical
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