Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11120%2F21%3A43921850" target="_blank" >RIV/00216208:11120/21:43921850 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11130/21:10429920 RIV/00064173:_____/21:N0000175
Výsledek na webu
<a href="https://doi.org/10.1186/s12911-021-01599-3" target="_blank" >https://doi.org/10.1186/s12911-021-01599-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s12911-021-01599-3" target="_blank" >10.1186/s12911-021-01599-3</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis
Popis výsledku v původním jazyce
BACKGROUND: Rhinosinusitis is an inflammation of the sinonasal cavity which affects roughly one in seven people per year. Acute rhinosinusitis (ARS) is mostly, apart from allergic etiology, caused by a viral infection and, in some cases (30-50%), by a bacterial superinfection. Antibiotics, indicated only in rare cases according to EPOS guidelines, are nevertheless prescribed in more than 80% of ARS cases, which increases the resistant bacterial strains in the population. METHODS: We have designed a clinical decision support system (CDSS), RHINA, based on a web application created in HTML 5, using JavaScript, jQuery, CCS3 and PHP scripting language. The presented CDSS RHINA helps general physicians to decide whether or not to prescribe antibiotics in patients with rhinosinusitis. RESULTS: In a retrospective study of a total of 1465 patients with rhinosinusitis, the CDSS RHINA presented a 90.2% consistency with the diagnosis and treatment made by the ENT specialist. CONCLUSION: Patients assessed with the assistance of our CDSS RHINA would decrease the over-prescription of antibiotics, which in turn would help to reduce the bacterial resistance to the most commonly prescribed antibiotics.
Název v anglickém jazyce
Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis
Popis výsledku anglicky
BACKGROUND: Rhinosinusitis is an inflammation of the sinonasal cavity which affects roughly one in seven people per year. Acute rhinosinusitis (ARS) is mostly, apart from allergic etiology, caused by a viral infection and, in some cases (30-50%), by a bacterial superinfection. Antibiotics, indicated only in rare cases according to EPOS guidelines, are nevertheless prescribed in more than 80% of ARS cases, which increases the resistant bacterial strains in the population. METHODS: We have designed a clinical decision support system (CDSS), RHINA, based on a web application created in HTML 5, using JavaScript, jQuery, CCS3 and PHP scripting language. The presented CDSS RHINA helps general physicians to decide whether or not to prescribe antibiotics in patients with rhinosinusitis. RESULTS: In a retrospective study of a total of 1465 patients with rhinosinusitis, the CDSS RHINA presented a 90.2% consistency with the diagnosis and treatment made by the ENT specialist. CONCLUSION: Patients assessed with the assistance of our CDSS RHINA would decrease the over-prescription of antibiotics, which in turn would help to reduce the bacterial resistance to the most commonly prescribed antibiotics.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30206 - Otorhinolaryngology
Návaznosti výsledku
Projekt
—
Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
BMC Medical Informatics and Decision Making
ISSN
1472-6947
e-ISSN
—
Svazek periodika
21
Číslo periodika v rámci svazku
August
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
6
Strana od-do
239
Kód UT WoS článku
000685086200002
EID výsledku v databázi Scopus
2-s2.0-85112111094