{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,17]],"date-time":"2025-05-17T04:04:25Z","timestamp":1747454665171,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685960","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T00:00:00Z","timestamp":1747267200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,15]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3233\/shti250312","type":"book-chapter","created":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:53:29Z","timestamp":1747385609000},"source":"Crossref","is-referenced-by-count":0,"title":["Using Data-Driven Decision Algorithms and Real-World Data for Updating Clinical Practice Guidelines"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-1603-2608","authenticated-orcid":false,"given":"Thijs","family":"van Vegchel","sequence":"first","affiliation":[{"name":"Department of Research and Development, Netherlands Comprehensive Cancer Organization (IKNL), Utrecht, the Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kees C.W.J.","family":"Ebben","sequence":"additional","affiliation":[{"name":"Department of Research and Development, Netherlands Comprehensive Cancer Organization (IKNL), Utrecht, the Netherlands"},{"name":"Department of Epidemiology, GROW school for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Intelligent Health Systems \u2013 From Technology to Data and Knowledge"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250312","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:53:29Z","timestamp":1747385609000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250312"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,15]]},"ISBN":["9781643685960"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250312","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,15]]}}}