Autor: |
Nasian Mosku, Philip Heesen, Salome Christen, Mario F. Scaglioni, Beata Bode, Gabriela Studer, Bruno Fuchs |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
Diagnostics, Vol 13, Iss 6, p 1206 (2023) |
Druh dokumentu: |
article |
ISSN: |
2075-4418 |
DOI: |
10.3390/diagnostics13061206 |
Popis: |
Patient-based health related quality of life (HRQoL) measurements are associated with an improvement in quality of care and outcomes. For a complex disease such as sarcoma, there is no disease-specific questionnaire available which covers all clinically relevant dimensions. Herein, we report on the development of an electronically implemented, sarcoma-specific instrument to assess health-related outcomes, which encompasses a combination of generic questionnaires tailored to the respective disease and treatment status covering the entire longitudinal care cycle. An interoperable digital platform was designed to provide a node between patients and physicians and to integrate the sarcoma-specific HRQoL instrument with patient and physician-based quality indicators to allow longitudinal structured real-world-time data evidence analytics. This approach enables the prediction modeling of disease, and by attributing cost tags to quality indicators, treatment effectiveness for a given disease will be directly correlated with financial expenses, which may ultimately lead to a more sustainable healthcare system. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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