Journal article
Applying a Text-Search Algorithm to Radiology Reports Can Find More Patients With Pulmonary Nodules Than Radiology Coding Alone
Federal practitioner, Vol.37(Suppl 2), pp.S32-S37
05/2020
PMCID: PMC7497875
PMID: 32952385
Abstract
Chest imaging often incidentally finds indeterminate nodules that need to be monitored to ensure early detection of lung cancers. Health care systems need effective approaches for identifying these lung nodules. We compared the diagnostic performance of 2 approaches for identifying patients with lung nodules on imaging studies (chest/abdomen): (1) relying on radiologists to code imaging studies with lung nodules; and (2) applying a text search algorithm to identify references to lung nodules in radiology reports.
We assessed all radiology studies performed between January 1, 2016 and November 30, 2016 in a single Veterans Health Administration hospital. We first identified imaging reports with a diagnostic code for a pulmonary nodule. We then applied a text search algorithm to identify imaging reports with key words associated with lung nodules. We reviewed medical records for all patients with a suspicious radiology report based on either search strategy to confirm the presence of a lung nodule. We calculated the yield and the positive predictive value (PPV) of each search strategy for finding pulmonary nodules.
We identified 12,983 imaging studies with a potential lung nodule. Chart review confirmed 8,516 imaging studies with lung nodules, representing 2,912 unique patients. The text search algorithm identified all the patients with lung nodules identified by the radiology coding (n = 1,251) as well as an additional 1,661 patients. The PPV of the text search was 72% (2,912/4,071) and the PPV of the radiology code was 92% (1,251/1,363). Among the patients with nodules missed by radiology coding but identified by the text search algorithm, 130 had lung nodules > 8 mm in diameter.
The text search algorithm can identify additional patients with lung nodules compared to the radiology coding; however, this strategy requires substantial clinical review time to confirm nodules. Health care systems adopting nodule-tracking approaches should recognize that relying only on radiology coding might miss clinically important nodules.
Details
- Title: Subtitle
- Applying a Text-Search Algorithm to Radiology Reports Can Find More Patients With Pulmonary Nodules Than Radiology Coding Alone
- Creators
- Rolando SanchezGeorge BaileyPeter J KaboliSteven B ZeliadtJulie A LangRichard M Hoffman
- Resource Type
- Journal article
- Publication Details
- Federal practitioner, Vol.37(Suppl 2), pp.S32-S37
- PMID
- 32952385
- PMCID
- PMC7497875
- ISSN
- 1078-4497
- eISSN
- 1945-337X
- Language
- English
- Date published
- 05/2020
- Academic Unit
- Pulmonary, Critical Care, and Occupational Medicine; Epidemiology; General Internal Medicine; Internal Medicine
- Record Identifier
- 9984362666002771
Metrics
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