Detecting Patients with Chronic Kidney Disease Using General Practitioner Electronic Health Records and Electronic Phenotypes...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy.
Chronic kidney disease (CKD) is a major public health issue. Estimating CKD prevalence using Electronic Health Records (EHR) of General Practitioners (GPs) is of value to guide patient care and healthcare system policies. Using clinical guidelines, we developed two different CKD electronic phenotype...
| Publicado en: | Studies in Health Technology & Informatics Vol. 336; pp. 1143 - 1148 |
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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=194019013&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194019013 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: 194019013 194019013 194019013 10.3233/SHTI260377 194019013 ppf: 1143 ppct: 5 formats: tig: atl: Detecting Patients with Chronic Kidney Disease Using General Practitioner Electronic Health Records and Electronic Phenotypes...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy. aug: au: LIEVERSE, Joris E. YASREBI-de KOM, Izak A. R. MAARSINGH, Otto R. OVERBEEK, Jetty A. CORNET, Ronald KLOPOTOWSKA, Joanna E. affil: Department of Medical Informatics, Amsterdam University Medical Centre, Amsterdam, The Netherlands. sug: subj: Renal Insufficiency, Chronic Diagnosis Early Diagnosis Electronic Health Records Phenotype Physicians, Family Databases, Health Automation Congresses and Conferences Italy Italy Human Cross Sectional Studies Comparative Studies Glomerular Filtration Rate Netherlands Descriptive Statistics Algorithms Serum Albumin Creatinine Medical Informatics Primary Health Care ab: Chronic kidney disease (CKD) is a major public health issue. Estimating CKD prevalence using Electronic Health Records (EHR) of General Practitioners (GPs) is of value to guide patient care and healthcare system policies. Using clinical guidelines, we developed two different CKD electronic phenotypes (e-phenotypes) fit for EHR data from GPs: a laboratory-derived e-phenotype based on the estimated glomerular filtration rate and albumin-to-creatinine ratio, and a diagnosis code-derived e-phenotype. We assessed them based on the CKD prevalence retrieved. Each e-phenotype identified a different number of CKD cases, with the combined approach capturing the largest number of cases. Notably, many laboratory-derived CKD cases lacked a CKD diagnosis code, indicating room for data quality improvement. Our findings highlight the importance of integrating laboratory and diagnostic data in CKD e-phenotype algorithms and provide guidance for researchers, clinicians, and guideline developers to improve CKD detection and care in GP settings. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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