Learning Health System: Experiences in Accessing and Curating Complex Routine Data from a Hospital Group to Improve Implant Surgery Outcomes...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy.
This study explores the development of a Learning Health System (LHS) to enhance implant surgery outcomes at Klinikum Region Hannover (KRH), Germany. Using the cross-industry standard process for data mining (CRISP-DM) framework, routine clinical data from multiple hospital systems, focusing on hip,...
| Publicado en: | Studies in Health Technology & Informatics Vol. 336; pp. 695 - 700 |
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| Autores principales: | , , , , , , |
| Formato: | proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194018897&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194018897 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2026 vid: 336 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 194018897 194018897 194018897 10.3233/SHTI260260 194018897 ppf: 695 ppct: 5 formats: tig: atl: Learning Health System: Experiences in Accessing and Curating Complex Routine Data from a Hospital Group to Improve Implant Surgery Outcomes...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy. aug: au: HASSMANN, Jörg KRÖNER, Saskia HAMMER, Jonas PRZYSUCHA, Mareike STACHE, Martin TEUTEBERG, Frank HÜBNER, Ursula affil: Research Centre of Health & Social Informatics, University AS Osnabrück, Germany. sug: subj: Learning Health System Administration Electronic Health Records Administration Data Mining Prostheses and Implants Treatment Outcomes Quality Improvement Congresses and Conferences Italy Italy Human Hip Surgery Knee Surgery Shoulder Surgery Germany Data Quality Data Curation Funding Source ab: This study explores the development of a Learning Health System (LHS) to enhance implant surgery outcomes at Klinikum Region Hannover (KRH), Germany. Using the cross-industry standard process for data mining (CRISP-DM) framework, routine clinical data from multiple hospital systems, focusing on hip, knee and shoulder implants were accessed and curated. Data integration involved 35 tables and 1,702 variables. Key steps included data cleaning, standardization, and validation to improve access, accuracy, completeness, and consistency. Data access and curation experience showed that building an LHS using complex data under real-world conditions is still a cumbersome undertaking. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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