Validating a Guidelines Based Asthma Decision Support System: Step One
| Autor: | E. R. McFadden, Asha Garg, Thomas Stern, Neal V. Dawson |
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| Rok vydání: | 2007 |
| Předmět: |
Male
Pulmonary and Respiratory Medicine medicine.medical_specialty Decision support system Severe asthma MEDLINE Peak Expiratory Flow Rate Sensitivity and Specificity Clinical decision support system Health informatics Predictive Value of Tests immune system diseases Humans Immunology and Allergy Medicine Albuterol Intensive care medicine Decision Making Computer-Assisted Asthma business.industry Reproducibility of Results Asthma clinic Middle Aged medicine.disease Predictive value Bronchodilator Agents respiratory tract diseases Practice Guidelines as Topic Pediatrics Perinatology and Child Health Physical therapy Female business |
| Zdroj: | Journal of Asthma. 44:635-638 |
| ISSN: | 1532-4303 0277-0903 |
| DOI: | 10.1080/02770900701554375 |
| Popis: | Purpose. To quantify the accuracy of a computerized decision support system in discerning severe asthma in a clinical setting. Design. A total of 69 consecutive asthmatics examined in an asthma clinic were classified as "severe" or "mild" by the computerized decision support system and expert asthma clinicians. The expert asthma clinicians were the reference standard. Results. The accuracy was 91%, the sensitivity 96%, the specificity 73%, the positive predictive value 93%, and the negative predictive value 85%. Conclusions. The asthma decision support system was able to discern "mild" from "severe" asthma in a similar fashion to expert asthma clinicians. |
| Databáze: | OpenAIRE |
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