Simplifying Cohort Definition with a Conversational Query Builder...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy.
The secondary use of clinical data has been widely studied, addressing many challenges in conducting observational studies. However, the complexity of dataset structures and detailed data requirements has led researchers to develop user-friendly query builders, enabling medical researchers to define...
| Publicado en: | Studies in Health Technology & Informatics Vol. 336; pp. 1084 - 1086 |
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| Autores principales: | , , , |
| Formato: | proceedings research 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=194018999&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194018999 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: 194018999 194018999 194018999 10.3233/SHTI260362 194018999 ppf: 1084 ppct: 2 formats: tig: atl: Simplifying Cohort Definition with a Conversational Query Builder...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy. aug: au: ROSA, Joaquim Vertentes PARADINHA, Raquel ALMEIDA, João Rafael OLIVEIRA, José Luís affil: IEETA / DETI, LASI, University of Aveiro, Portugal. sug: subj: Natural Language Processing Data Management Nonexperimental Studies Electronic Data Interchange Human Congresses and Conferences Italy Italy Conceptual Framework Workflow Software World Wide Web Applications Algorithms Data Security Health Information Systems Descriptive Statistics Funding Source ab: The secondary use of clinical data has been widely studied, addressing many challenges in conducting observational studies. However, the complexity of dataset structures and detailed data requirements has led researchers to develop user-friendly query builders, enabling medical researchers to define cohorts more efficiently across the datasets. Although these tools simplify the workflow, their learning curve can sometimes be steep. Motivated by improving the usability to conducted observational studies, we propose a modular conversational assistant framework that would address these limitations. It can be integrated in any web application as an javascript component, improving the system usability. Additionally, the proposed framework would employ deterministic algorithms to reduce computational overhead. The system would enable integration into existing medical information systems through configuration files rather than code modifications. Validation within the OHDSI ecosystem would demonstrate practical applicability for real-world observational research scenarios. pubtype: Academic Journal doctype: proceedings research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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