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Using Data-Driven Decision Algorithms and Real-World Data for Updating Clinical Practice Guidelines

Year: 2025

Type: book-chapter

Abstract: Clinical practice guidelines often struggle to stay updated, especially as cancer care becomes more personalized. We transformed guidelines into data-driven Clinical Decision Algorithms (CDAs) and compared Dutch and US CDAs, enriching the Dutch version with real-world data from the Netherlands Cancer Registry. An interactive dashboard was developed to automate guideline comparisons, adherence analysis, and alternative treatment evaluations, enabling timely updates and more responsive, evidence-based care.

Source: Studies in health technology and informatics

DOI: 10.3233/shti250312

Authors: Thijs van Vegchel, Kees C.W.J. Ebben

Institutions: Netherlands Comprehensive Cancer Organisation, Maastricht University Medical Centre

Language: English

Topic: Clinical practice guidelines implementation

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4410448461

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