Literature DB >> 30517649

Integrity of clinical information in computerized order requisitions for diagnostic imaging.

Ronilda Lacson1,2, Romeo Laroya1,2, Aijia Wang1, Neena Kapoor1,2, Daniel I Glazer2,3, Atul Shinagare1,2, Ivan K Ip1,2, Sameer Malhotra4, Keith Hentel5, Ramin Khorasani1,2.   

Abstract

Objective: Assess information integrity (concordance and completeness of documented exam indications from the electronic health record [EHR] imaging order requisition, compared to EHR provider notes), and assess potential impact of indication inaccuracies on exam planning and interpretation.
Methods: This retrospective study, approved by the Institutional Review Board, was conducted at a tertiary academic medical center. There were 139 MRI lumbar spine (LS-MRI) and 176 CT abdomen/pelvis orders performed 4/1/2016-5/31/2016 randomly selected and reviewed by 4 radiologists for concordance and completeness of relevant exam indications in order requisitions compared to provider notes, and potential impact of indication inaccuracies on exam planning and interpretation. Forty each LS-MRI and CT abdomen/pelvis were re-reviewed to assess kappa agreement.
Results: Requisition indications were more likely to be incomplete (256/315, 81%) than discordant (133/315, 42%) compared to provider notes (p < 0.0001). Potential impact of discrepancy between clinical information in requisitions and provider notes was higher for radiologist's interpretation than for exam planning (135/315, 43%, vs 25/315, 8%, p < 0.0001). Agreement among radiologists for concordance, completeness, and potential impact was moderate to strong (Kappa 0.66-0.89). Indications in EHR order requisitions are frequently incomplete or discordant compared to physician notes, potentially impacting imaging exam planning, interpretation and accurate diagnosis. Such inaccuracies could also diminish the relevance of clinical decision support alerts if based on information in order requisitions. Conclusions: Improved availability of relevant documented clinical information within EHR imaging requisition is necessary for optimal exam planning and interpretation.

Mesh:

Year:  2018        PMID: 30517649      PMCID: PMC7647161          DOI: 10.1093/jamia/ocy133

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  36 in total

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6.  Systemic Error in Radiology.

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7.  Institutional Pressure to Reduce Report Turnaround Time Is Damaging the Educational Mission.

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  3 in total

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2.  Can emergency department provider notes help to achieve more dynamic clinical decision support?

Authors:  Justin F Rousseau; Ivan K Ip; Ali S Raja; Jeremiah D Schuur; Ramin Khorasani
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Review 3.  The role of artificial intelligence in paediatric cardiovascular magnetic resonance imaging.

Authors:  Andrew M Taylor
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  3 in total

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