Garbage In, Garbage Out? Negative Impact of Physiological Waveform Artifacts in a Hospital Clinical Data Warehouse.
Hospitals around the world are deploying increasingly advanced systems to collect and store high-resolution physiological patient data for quality improvement and research. However, data accuracy, completeness, consistency, and contextual validity remain issues. This report highlights a data artifac...
| Publicado en: | Journal of Medical Systems Vol. 48; no. 1; pp. 1 - 4 |
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| Autores principales: | , , |
| Formato: | pictorial Journal Article |
| Publicado: |
Springer Nature
11/25/2024
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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=181119393&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 181119393 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: 11/25/2024 vid: 48 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 181119393 181119393 181119393 10.1007/s10916-024-02128-1 181119393 ppf: 1 ppct: 3 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Garbage In, Garbage Out? Negative Impact of Physiological Waveform Artifacts in a Hospital Clinical Data Warehouse. aug: au: Kuo, Frederick H. Rehman, Mohamed A. Ahumada, Luis M. affil: https://ror.org/013x5cp73 Department of Anesthesia and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, FL, USA sug: subj: Waveforms Artifacts Data Warehouse Hospitals Information Systems Carbon Dioxide Data Analysis Medical Informatics Health Personnel Scientists Data Analytics Airway Pressure Research Personnel ab: Hospitals around the world are deploying increasingly advanced systems to collect and store high-resolution physiological patient data for quality improvement and research. However, data accuracy, completeness, consistency, and contextual validity remain issues. This report highlights a data artifact known as waveform clipping in our hospital's physiological data capture system that went unnoticed for years, limiting data analysis and delaying several research projects. We aim to raise awareness in the medical informatics community about the importance of careful system setup, ongoing data validation, and close cooperation between clinicians and data scientists. pubtype: Academic Journal doctype: pictorial Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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