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Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/00216208:11130/21:10429920 RIV/00064173:_____/21:N0000175

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30206 - Otorhinolaryngology

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    BMC Medical Informatics and Decision Making

  • ISSN

    1472-6947

  • e-ISSN

  • Volume of the periodical

    21

  • Issue of the periodical within the volume

    August

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    6

  • Pages from-to

    239

  • UT code for WoS article

    000685086200002

  • EID of the result in the Scopus database

    2-s2.0-85112111094