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    Methodology of ratings of "Medical services and institutions"

    The “Medical Services and Facilities” category brings together rankings of clinics, medical centers, dental practices, and aesthetic medicine providers. The methodology takes into account the specifics of the medical field, requirements for the reliability of information, and the audience’s sensitivity to service quality. The methodology for the “Medical Services and Facilities” category is part of Madloba’s overall rating formation system.

    Review dynamics
    The regularity of new ratings and the stability of the establishment’s reputation over time are taken into account.
    Public platforms
    Data from Google Maps, TripAdvisor, specialized medical aggregators, and other open sources are analyzed.
    Audience interest
    Search queries, card views, and user engagement within the catalog are taken into account.
    Information relevance
    The accuracy of contacts, working hours, and the completeness of the provided data are checked.

    Which facilities are included in the category

    The category includes institutions providing medical and related services, presented in open sources and meeting the requirements for data accuracy.
    Taken into account are:

    • multidisciplinary clinics;
    • private and public medical centers;
    • dental clinics;
    • aesthetic medicine centers;
    • specialized medical institutions.

    The facility listing must contain a current address, contacts, service profile, and confirmed working hours. Facilities without consistent public data may not be included until sufficient information becomes available.

    Which rankings are included in the category

    Main data sources

    Public sources and external signals

    Only open and publicly available data is used when forming the rankings.

    Primary sources:

    • Google Maps;
    • specialized medical aggregators;
    • public patient reviews;
    • official websites of institutions.

    Reviews are analyzed in RU / EN / KA to account for different audiences.

    Key indicators for the medical category

    Number and consistency of reviews
    Not only the volume of reviews is assessed, but also their stability over time.
    Facility reputation
    The combination of ratings across different platforms and their consistency is taken into account.
    Audience interest
    Card views and search queries are analyzed.
    Information relevance
    The accuracy of specialization, contacts, and service descriptions is checked.

    Specifics of the medical category

    The medical field requires a higher level of trust and care in interpreting data.

    Key features:

    • patient reviews are often emotional in nature;
    • decisions about choosing a facility are made based on reputation;
    • information about specialization and the service profile must be as accurate as possible;
    • reputation is formed over the long term.

    Working with conflicting data

    Aggregate sources
    When ratings differ, a combination of data is taken into account, not a single indicator.
    Verification of unstable signals
    Sharp deviations may be considered with additional verification.
    Data integrity principle
    Data created for the purpose of artificial influence is not taken into account.

    New facilities

    New clinics and medical centers may be included in the ranking based on open data and editorial review.

    The position is revised as reviews and user activity accumulate.

    Ranking updates

    Scheduled review
    A comprehensive data review is carried out at least once per quarter.
    Dynamic changes
    More frequent changes are possible due to an active influx of new reviews and user activity.
    Update date
    Each ranking page indicates the current date of the last recalculation.

    The methodology of the “Medical Services and Facilities” category is part of Madloba’s overall rating formation system. You can return to the general principles or proceed to view the current rankings.

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    Madloba Info Support Team
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    Madloba Info Support Team

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