ArticleBMC medical informatics and decision making2017
Empirical advances with text mining of electronic health records.
Article in BMC medical informatics and decision making, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- A novel application of lemmatize and thematic analysis to understand protective measures perspectives of patients with chronic respiratory disease during the first outbreak of COVID-19 pandemic: a qualitative study.Frontiers in public health · 2024Article
- Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review.JMIR medical informatics · 2023Review
- Pancreatic cancer symptom trajectories from Danish registry data and free text in electronic health records.eLife · 2023Article
- The development of an automatic speech recognition model using interview data from long-term care for older adults.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Comparing text mining and manual coding methods: Analysing interview data on quality of care in long-term care for older adults.PloS one · 2023Article
- Real-world evaluation of supportive care using an electronic health record text-mining tool: G-CSF use in breast cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022Article
- Text mining-based measurement of precision of polysomnographic reports as basis for intervention.Journal of biomedical semantics · 2022Article
- Therapeutic drug repositioning with special emphasis on neurodegenerative diseases: Threats and issues.Frontiers in pharmacology · 2022Review
- Research supporting malaria control and elimination in China over four decades: a bibliometric analysis of academic articles published in chinese from 1980 to 2019.Malaria journal · 2021Article
- Leveraging Text Mining Approach to Identify What People Want to Know About Mental Disorders From Online Inquiry Platforms.Frontiers in public health · 2021Article
- Identifying naloxone administrations in electronic health record data using a text-mining tool.Substance abuse · 2021Article
- Article
- Insights into Computational Drug Repurposing for Neurodegenerative Disease.Trends in pharmacological sciences · 2019Review
- Issues in Building a Nursing Home Syndromic Surveillance System with Textmining: Longitudinal Observational Study.JMIR public health and surveillance · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundKorian is a private group specializing in medical accommodations for elderly and dependent people. A professional data warehouse (DWH) established in 2010 hosts all of the residents' data. Inside this information system (IS), clinical narratives (CNs) were used only by medical staff as a residents' care linking tool. The objective of this study was to show that, through qualitative and quantitative textual analysis of a relatively small physiotherapy and well-defined CN sample, it was possible to build a physiotherapy corpus and, through this process, generate a new body of knowledge by adding relevant information to describe the residents' care and lives.
methodsMeaningful words were extracted through Standard Query Language (SQL) with the LIKE function and wildcards to perform pattern matching, followed by text mining and a word cloud using R® packages. Another step involved principal components and multiple correspondence analyses, plus clustering on the same residents' sample as well as on other health data using a health model measuring the residents' care level needs.
resultsBy combining these techniques, physiotherapy treatments could be characterized by a list of constructed keywords, and the residents' health characteristics were built. Feeding defects or health outlier groups could be detected, physiotherapy residents' data and their health data were matched, and differences in health situations showed qualitative and quantitative differences in physiotherapy narratives.
conclusionsThis textual experiment using a textual process in two stages showed that text mining and data mining techniques provide convenient tools to improve residents' health and quality of care by adding new, simple, useable data to the electronic health record (EHR). When used with a normalized physiotherapy problem list, text mining through information extraction (IE), named entity recognition (NER) and data mining (DM) can provide a real advantage to describe health care, adding new medical material and helping to integrate the EHR system into the health staff work environment.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.