Profiling Lung Cancer Patients Using Electronic Health Records

If Electronic Health Records contain a large amount of information about the patient’s condition and response to treatment, which can potentially revolutionize the clinical practice, such information is seldom considered due to the complexity of its extraction and analysis. We here report on a first...

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Bibliographic Details
Published in:Journal of medical systems 2018-07, Vol.42 (7), p.126-10, Article 126
Main Authors: Menasalvas Ruiz, Ernestina, Tuñas, Juan Manuel, Bermejo, Guzmán, Gonzalo Martín, Consuelo, Rodríguez-González, Alejandro, Zanin, Massimiliano, González de Pedro, Cristina, Méndez, Marta, Zaretskaia, Olga, Rey, Jesús, Parejo, Consuelo, Cruz Bermudez, Juan Luis, Provencio, Mariano
Format: Article
Language:English
Subjects:
Cancer
Data analysis
Data processing
Demographics
Demography
Electronic health records
Electronic medical records
Feasibility studies
Health Informatics
Health Sciences
Integration
Lung cancer
Medicine
Medicine & Public Health
Patient Facing Systems
Patients
Statistics for Life Sciences
Telemedicine
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Summary:If Electronic Health Records contain a large amount of information about the patient’s condition and response to treatment, which can potentially revolutionize the clinical practice, such information is seldom considered due to the complexity of its extraction and analysis. We here report on a first integration of an NLP framework for the analysis of clinical records of lung cancer patients making use of a telephone assistance service of a major Spanish hospital. We specifically show how some relevant data, about patient demographics and health condition, can be extracted; and how some relevant analyses can be performed, aimed at improving the usefulness of the service. We thus demonstrate that the use of EHR texts, and their integration inside a data analysis framework, is technically feasible and worth of further study.
ISSN:0148-5598
1573-689X
DOI:10.1007/s10916-018-0975-9