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Tracing Real-World Patient Pathway by Harnessing Healthcare Administrative Claims

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F24%3A00371272" target="_blank" >RIV/68407700:21460/24:00371272 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-031-62520-6_7" target="_blank" >http://dx.doi.org/10.1007/978-3-031-62520-6_7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-62520-6_7" target="_blank" >10.1007/978-3-031-62520-6_7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Tracing Real-World Patient Pathway by Harnessing Healthcare Administrative Claims

  • Original language description

    In healthcare research, the utilization of Healthcare Administrative Claims (HAC) data has gained increasing importance. Retrospective observational studies of real-world patient pathways can highly benefit from accurate HAC data analysis. They provide valuable insights into the sequential and temporal progression of patient interactions within the healthcare system. This type of analysis helps identify factors that influence treatment effectiveness, resource utilization, and healthcare quality. Consequently, it contributes to evidence-based decision-making and better healthcare policies. Effectively harnessing the potential of HAC data requires careful data processing due to several challenges. We proposed a stepwise approach for HAC data processing that involves several key steps, including population selection, data enrichment, establishment of an index date, application of inclusion/exclusion criteria, identification of clinical events, and determination of pathway milestones. These steps collectively construct a structured practical framework for healthcare administrative data analysis.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in Digital Health and Medical Bioengineering, Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023, November 9–10, 2023, Bucharest, Romania – Volume 2: Health Technology Assessment, Biomedical Signal Processing, Medicine and Informatics

  • ISBN

    978-3-031-62519-0

  • ISSN

    1680-0737

  • e-ISSN

    1433-9277

  • Number of pages

    9

  • Pages from-to

    53-61

  • Publisher name

    Springer Nature Switzerland AG

  • Place of publication

    Basel

  • Event location

    Bucuresti

  • Event date

    Nov 9, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001326809000007