domingo, 2 de abril de 2017

Application of Electronic Algorithms to Improve Diagnostic Evaluation for Bladder Cancer. - PubMed - NCBI

Application of Electronic Algorithms to Improve Diagnostic Evaluation for Bladder Cancer. - PubMed - NCBI

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Electronic Triggers May Reduce Delays in Bladder Cancer Diagnoses

AHRQ-funded researchers who developed a “trigger system” to scan a Department of Veterans Affairs database found that more than 8 percent of patients with high levels of blood in their urine experienced delays in follow-up treatment. The study suggests that providers could be missing urinalysis results even when red blood cell counts are high enough to warrant additional tests for cancer. Authors of the new study in Applied Clinical Informatics concluded that triggers warrant further study as a strategy to reduce delays in bladder cancer diagnosis. Access the abstract.

 2017 Mar 22;8(1):279-290. doi: 10.4338/ACI-2016-10-RA-0176.

Application of Electronic Algorithms to Improve Diagnostic Evaluation for Bladder Cancer.

Abstract

BACKGROUND:

Strategies to ensure timely diagnostic evaluation of hematuria are needed to reduce delays in bladder cancer diagnosis.

OBJECTIVE:

To evaluate the performance of electronic trigger algorithms to detect delays in hematuria follow-up.

METHODS:

We developed a computerized trigger to detect delayed follow-up action on a urinalysis result with high-grade hematuria (>50 red blood cells/high powered field). The trigger scanned clinical data within a Department of Veterans Affairs (VA) national data repository to identify all patient records with hematuria, then excluded those where follow-up was unnecessary (e.g., terminal illness) or where typical follow-up action was detected (e.g., cystoscopy). We manually reviewed a randomly-selected sample of flagged records to confirm delays. We performed a similar analysis of records with hematuria that were marked as not delayed (non-triggered). We used review findings to calculate trigger performance.

RESULTS:

Of 310,331 patients seen between 1/1/2012-12/31/2014, the trigger identified 5,857 patients who experienced high-grade hematuria, of which 495 experienced a delay. On manual review of 400 randomly-selected triggered records and 100 non-triggered records, the trigger achieved positive and negative predictive values of 58% and 97%, respectively.

CONCLUSIONS:

Triggers offer a promising method to detect delays in care of patients with high-grade hematuria and warrant further evaluation in clinical practice as a means to reduce delays in bladder cancer diagnosis.

KEYWORDS:

Electronic health records; data mining; delayed diagnosis; hematuria; medical informatics; monitoring and surveillance; triggers; urologic neoplasms

PMID:
 
28326433
 
DOI:
 
10.4338/ACI-2016-10-RA-0176

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