Electronic health record data is unable to effectively characterize measurement error from pulse oximetry: a simulation study.
| Published in: | Journal of Clinical Monitoring & Computing Vol. 38; no. 4; pp. 893 - 900 |
|---|---|
| Main Author: | |
| Format: | Journal Article |
| Published: |
Springer Nature
Aug2024
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=178836169&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 178836169 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13871307 OHC jtl: Journal of Clinical Monitoring & Computing issn: 13871307 maglogo: N pubinfo: dt: Aug2024 vid: 38 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 178836169 175895501 10.1007/s10877-024-01131-8 178836169 ppf: 893 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Electronic health record data is unable to effectively characterize measurement error from pulse oximetry: a simulation study. aug: au: Sarraf, Elie affil: https://ror.org/02c4ez492 Department of Anesthesiology and Perioperative Medicine, Penn State College of Medicine, 500 University Drive Mail Code, H187, 17033, Hershey, PA, USA sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|