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ELaPro, a LOINC-mapped core dataset for top laboratory procedures of eligibility screening for clinical trials

Screening for eligible patients continues to pose a great challenge for many clinical trials. This has led to a rapidly growing interest in standardizing computable representations of eligibility criteria (EC) in order to develop tools that leverage data from electronic health record (EHR) systems....

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Hauptverfasser: Rafee, Ahmed (VerfasserIn) , Riepenhausen, Sarah (VerfasserIn) , Neuhaus, Philipp (VerfasserIn) , Meidt, Alexandra (VerfasserIn) , Dugas, Martin (VerfasserIn) , Varghese, Julian (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 14 May 2022
In: BMC medical research methodology
Year: 2022, Jahrgang: 22, Pages: 1-14
ISSN:1471-2288
DOI:10.1186/s12874-022-01611-y
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/s12874-022-01611-y
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Verfasserangaben:Ahmed Rafee, Sarah Riepenhausen, Philipp Neuhaus, Alexandra Meidt, Martin Dugas and Julian Varghese
Beschreibung
Zusammenfassung:Screening for eligible patients continues to pose a great challenge for many clinical trials. This has led to a rapidly growing interest in standardizing computable representations of eligibility criteria (EC) in order to develop tools that leverage data from electronic health record (EHR) systems. Although laboratory procedures (LP) represent a common entity of EC that is readily available and retrievable from EHR systems, there is a lack of interoperable data models for this entity of EC. A public, specialized data model that utilizes international, widely-adopted terminology for LP, e.g. Logical Observation Identifiers Names and Codes (LOINC®), is much needed to support automated screening tools.
Beschreibung:Gesehen am 15.06.2022
Beschreibung:Online Resource
ISSN:1471-2288
DOI:10.1186/s12874-022-01611-y

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