Extraction of Ejection Fraction from Echocardiography Notes for Constructing a Cohort of Patients having Heart Failure with reduced Ejection Fraction (HFrEF).

Left ventricular ejection fraction (LVEF) is an important prognostic indicator of cardiovascular outcomes. It is used clinically to determine the indication for several therapeutic interventions. LVEF is most commonly derived using in-line tools and some manual assessment by cardiologists from stand...

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Publicado en:Journal of Medical Systems Vol. 42; no. 11; pp. 1 - 2
Autores principales: Wagholikar, Kavishwar B., Fischer, Christina M., Goodson, Alyssa, Herrick, Christopher D., Rees, Martin, Toscano, Eloy, MacRae, Calum A., Scirica, Benjamin M., Desai, Akshay S., Murphy, Shawn N.
Formato: algorithm research tables/charts Journal Article
Publicado: Springer Nature Nov2018
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10916-018-1066-7
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        atl: Extraction of Ejection Fraction from Echocardiography Notes for Constructing a Cohort of Patients having Heart Failure with reduced Ejection Fraction (HFrEF).
      aug:
        au:
          Wagholikar, Kavishwar B.
          Fischer, Christina M.
          Goodson, Alyssa
          Herrick, Christopher D.
          Rees, Martin
          Toscano, Eloy
          MacRae, Calum A.
          Scirica, Benjamin M.
          Desai, Akshay S.
          Murphy, Shawn N.
        affil: Harvard Medical School, Boston, MA, USA
      sug:
        subj:
          Heart Failure
          Ventricular Ejection Fraction
          Algorithms
          Echocardiography
          Clinical Information Systems
          Natural Language Processing
          Information Retrieval
          Human
          Random Sample
          Documentation
          Funding Source
      ab: Left ventricular ejection fraction (LVEF) is an important prognostic indicator of cardiovascular outcomes. It is used clinically to determine the indication for several therapeutic interventions. LVEF is most commonly derived using in-line tools and some manual assessment by cardiologists from standardized echocardiographic views. LVEF is typically documented in free-text reports, and variation in LVEF documentation pose a challenge for the extraction and utilization of LVEF in computer-based clinical workflows. To address this problem, we developed a computerized algorithm to extract LVEF from echocardiography reports for the identification of patients having heart failure with reduced ejection fraction (HFrEF) for therapeutic intervention at a large healthcare system. We processed echocardiogram reports for 57,158 patients with coded diagnosis of Heart Failure that visited the healthcare system over a two-year period. Our algorithm identified a total of 3910 patients with reduced ejection fraction. Of the 46,634 echocardiography reports processed, 97% included a mention of LVEF. Of these reports, 85% contained numerical ejection fraction values, 9% contained ranges, and the remaining 6% contained qualitative descriptions. Overall, 18% of extracted numerical LVEFs were ≤ 40%. Furthermore, manual validation for a sample of 339 reports yielded an accuracy of 1.0. Our study demonstrates that a regular expression-based approach can accurately extract LVEF from echocardiograms, and is useful for delineating heart-failure patients with reduced ejection fraction.
      pubtype: Academic Journal
      doctype:
        algorithm
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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