Redefining the Practice of Peer Review Through Intelligent Automation—Part 3: Automated Report Analysis and Data Reconciliation.
One method for addressing existing peer review limitations is the assignment of peer review cases on a completely blinded basis, in which the peer reviewer would create an independent report which can then be cross-referenced with the primary reader report of record. By leveraging existing computeri...
| Publicado en: | Journal of Digital Imaging Vol. 31; no. 1; pp. 1 - 5 |
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| Autor principal: | |
| Formato: | Journal Article |
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Springer Nature
Feb2018
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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=127707180&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 127707180 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Feb2018 vid: 31 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 127707180 144162607 10.1007/s10278-017-0006-2 127707180 ppf: 1 ppct: 4 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Redefining the Practice of Peer Review Through Intelligent Automation—Part 3: Automated Report Analysis and Data Reconciliation. aug: au: Reiner, Bruce I. affil: Department of Radiology, Veterans Affairs Maryland Healthcare System, 10 North Greene Street, 21201, Baltimore, MD, USA sug: subj: Peer Review Radiography Artificial Intelligence Data Mining Decision Support Systems, Clinical ab: One method for addressing existing peer review limitations is the assignment of peer review cases on a completely blinded basis, in which the peer reviewer would create an independent report which can then be cross-referenced with the primary reader report of record. By leveraging existing computerized data mining techniques, one could in theory automate and objectify the process of report data extraction, classification, and analysis, while reducing time and resource requirements intrinsic to manual peer review report analysis. Once inter-report analysis has been performed, resulting inter-report discrepancies can be presented to the radiologist of record for review, along with the option to directly communicate with the peer reviewer through an electronic data reconciliation tool aimed at collaboratively resolving inter-report discrepancies and improving report accuracy. All associated report and reconciled data could in turn be recorded in a referenceable peer review database, which provides opportunity for context and user-specific education and decision support. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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