A novel system for the automatic extraction of a patient problem summary
| Autor: | Maria Mercorella, Mario Ciampi, Crescenzo Diomaiuta, Giuseppe De Pietro |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Information retrieval
narrative health reports Computer science business.industry Process (engineering) 05 social sciences 02 engineering and technology Health records NLP structured documents Automatic summarization Pipeline (software) Patient care Clinical Summarization 0502 economics and business Health care 0202 electrical engineering electronic engineering information engineering 050211 marketing 020201 artificial intelligence & image processing Problem List Prescribed medications business |
| Zdroj: | ISCC 22nd IEEE Symposium on Computers and Communication (ISCC 2017), pp. 182–186, Heraklion, Greece, Greece, 3-6 July 2017 info:cnr-pdr/source/autori:Crescenzo Diomaiuta, Maria Mercorella, Mario Ciampi, Giuseppe De Pietro/congresso_nome:22nd IEEE Symposium on Computers and Communication (ISCC 2017)/congresso_luogo:Heraklion, Greece, Greece/congresso_data:3-6 July 2017/anno:2017/pagina_da:182/pagina_a:186/intervallo_pagine:182–186 |
| DOI: | 10.1109/iscc.2017.8024526 |
| Popis: | Clinical summarization means the collection and synthesis of a patient's significant data, undertaken in order to support health-care providers in the process of patient care. Considering that medical information comes from multiple sources, a system for the automatic generation of problem lists could prove to be very effective in terms of saving time in the analysis of large amounts of medical data. In this paper, we propose a system able to acquire and present relevant references to medical disorders from a patient's history, producing a subject-oriented summary. The implemented system relies on an NLP pipeline, for the extraction of relevant medical entities contained in narrative health records, and on several queries, necessary for the scanning of structured documents. The tool aggregates any medical problems, performed procedures, and prescribed medications, providing the healthcare practitioner with a visual summary of the patient's data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|