SECTRA Radiology Examination Dataset (2012-2018)
sectra.Rd
This dataset contains information about radiological examinations performed for patients in the SEM cohort from the SECTRA radiology information system (RIS). The data spans from 2012 to 2018 and includes examination details and full text reports.
Format
A data frame with observations and 7 variables:
- examination_id
Character. Unique identifier for each radiological examination. Original field name: Undersökningsnummer
- examination_code
Character. Code indicating the type of radiological examination performed. Original field name: Undersökningskod
- patient_id
Numeric. Patient pseudonym identifier, serves as a foreign key to link with other patient-level data. Original field name: Alias
- examination_date
Date. Date when the radiological examination was performed. Original field name: Undersökningsdatum
- referral_date
Date. Date when the referral for the examination was sent. Original field name: Datum inskickad remiss
- report_signature_date
Date. Date when the radiological report was signed. Original field name: Datum signerat svar
- report_text
Character. Full text of the radiological report. Original field name: Fullständigt svar
Details
This file combines data exported from the SECTRA radiology information system for two periods: 2012-2015 and 2016-2018. The dataset includes various types of radiological examinations such as X-rays, CT scans, MRI, ultrasound, and other imaging studies.
The examination_code field contains standard codes used within the healthcare system to identify different types of radiological procedures. These codes would need to be mapped to a reference table for detailed interpretation.
The report_text field contains the full radiology report text, which includes the radiologist's findings, interpretations, and conclusions. These are free-text narratives written by radiologists after reviewing the images.
Note
The SECTRA dataset provides valuable information about imaging studies performed on patients in the SEM cohort
The examination_id field has a format that typically starts with "SER" or "SEK" followed by alphanumeric characters
The time between referral_date, examination_date, and report_signature_date can be calculated to analyze workflow efficiency
The report_text field contains unstructured free text that would require natural language processing techniques for systematic analysis
This dataset can be linked to other SEM cohort datasets using the patient_id field