Evaluation of LOINC for representing constitutional cytogenetic test result reports.
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Genetic testing is becoming increasingly important to medical practice. Integrating genetics and genomics data into electronic medical records is crucial in translating genetic discoveries into improved patient care. Information technology, especially Clinical Decision Support Systems, holds great potential to help clinical professionals take full advantage of genomic advances in their daily medical practice. However, issues relating to standard terminology and information models for exchanging genetic testing results remain relatively unexplored. This study evaluates whether the current LOINC standard is adequate to represent constitutional cytogenetic test result reports using sample result reports from ARUP Laboratories. The results demonstrate that current standard terminology is insufficient to support the needs of coding cytogenetic test results. The terminology infrastructure must be developed before clinical information systems will be able to handle the high volumes of genetic data expected in the near future. (+info)
Using a statistical natural language Parser augmented with the UMLS specialist lexicon to assign SNOMED CT codes to anatomic sites and pathologic diagnoses in full text pathology reports.
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To address the problem of extracting structured information from pathology reports for research purposes in the STRIDE Clinical Data Warehouse, we adapted the ChartIndex Medical Language Processing system to automatically identify and map anatomic and diagnostic noun phrases found in full-text pathology reports to SNOMED CT concept descriptors. An evaluation of the system's performance showed a positive predictive value for anatomic concepts of 92.3% and positive predictive value for diagnostic concepts of 84.4%. The experiment also suggested strategies for improving ChartIndex's performance coding pathology reports. (+info)
Quality of cause-of-death reporting using ICD-10 drowning codes: a descriptive study of 69 countries.
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Using an audience response system (ARS) in a face-to-face and distance education CPT/HCPCS coding course.
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We report the use of an audience response system (ARS) in an undergraduate health information management course. The ARS converts a standard PowerPoint presentation into an interactive learning system that engages students in active participation, and it allows instructors to display questions, surveys, opinion polls, and games. We used the ARS in a 2008 course, Health Services Coding, for lecture and test reviews. The class consisted of 15 students; nine were on-campus students and six were distance education students. All of the responding students agreed that the ARS software facilitated learning and made lectures and reviews more interesting and interactive, and they preferred taking a class using an ARS. (+info)
International Classification of Diseases coding changes lead to profound declines in reported idiopathic pulmonary arterial hypertension mortality and hospitalizations: implications for database studies.
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