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Combining Structured and Free-text Electronic Medical Record Data for Real-time Clinical Decision Support
2019
Proceedings of the 18th BioNLP Workshop and Shared Task
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The goal of this work is to utilize Electronic Medical Record (EMR) data for real-time Clinical Decision Support (CDS). ...
We present a deep learning approach to combining in real time available diagnosis codes (ICD codes) and free-text notes: Patient Context Vectors. ...
Acknowledgements Research reported in this publication was supported by a NIH SBIR award to CTA by NIH National Heart, Lung, and Blood Institute, of the National Institutes of Health under award number ...
doi:10.18653/v1/w19-5007
dblp:conf/bionlp/ApostolovaWTKV19
fatcat:ylphmzzhajffljd2w72wpctydu
Electronic medical record phenotyping using the anchor and learn framework
2016
JAMIA Journal of the American Medical Informatics Association
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Materials and Methods We developed a phenotype library that uses both structured and unstructured data from the EMR to represent patients for real-time clinical decision support. ...
As medicine becomes increasingly precise, a patient's electronic medical record phenotype will play an important role in triggering clinical decision support systems that can deliver personalized recommendations ...
phenotypes for activating clinical decision support in real time. ...
doi:10.1093/jamia/ocw011
pmid:27107443
pmcid:PMC4926745
fatcat:4gkacr44zjgori6zgq7pcb6pq4
In response to: Method of electronic health record documentation and quality of primary care
2012
JAMIA Journal of the American Medical Informatics Association
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However, they also write, 'Until large scale NLP can produce structured data from dictated and free text reports, structured data entry will be an essential input to both clinical decision support and ...
clinical decision support.' ...
doi:10.1136/amiajnl-2012-001149
pmid:22842547
pmcid:PMC3534472
fatcat:mi2kvnihyvfirauv7zersygfse
The freetext matching algorithm: a computer program to extract diagnoses and causes of death from unstructured text in electronic health records
2012
BMC Medical Informatics and Decision Making
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We present a platform that combines an approach to semantic extraction of medical information from clinical free-text documents with the processing of structured information from HIS records. ...
The information extraction process uses a fine-grained linguistic analysis, and maps preprocessed terms to the concepts of domain-specific ontologies. ...
Clinical trials make use of the information stored in electronic health records, but much of this information is encoded in free text rather than stored in structured records [5] .
II. ...
doi:10.1186/1472-6947-12-88
pmid:22870911
pmcid:PMC3483188
fatcat:qvffnbot5jdormq6dgoyephymq
Current Development and Technology in the Information Extraction for Clinical Narrative Text
2015
International Journal of Computer Science and Application
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We mainly introduce the Hidden Markov Model, Support Vector Machine, Ontology and other combined method used in information extraction for clinical narratives. ...
Most of the clinical narratives are free-text forms. ...
Bansal for his valuable discussions and support. ...
doi:10.12783/ijcsa.2015.0402.01
fatcat:4cch3i72jjbo5hvnbbssvwnnpi
From Learning About Machines to Machine Learning: Applications for Mental Health Rehabilitation
2020
Journal of Psychosocial Rehabilitation and Mental Health
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Clinical decision support systems can assist in this development of personalised rehabilitation measures by simulating human decision making and combining this with understanding the underlying data of ...
The SLaM Biomedical Research Centre Case Register and its Clinical Record Interactive Search (CRIS) application were developed in 2008, generating a research repository of real-time, anonymised, structured ...
doi:10.1007/s40737-020-00163-y
fatcat:iwnteso5e5bp3a5d3l4umxvwce
Towards a symbiotic relationship between big data, artificial intelligence, and hospital pharmacy
2020
Journal of Pharmaceutical Policy and Practice
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The digitalization of health and medicine and the growing availability of electronic health records (EHRs) has encouraged healthcare professionals and clinical researchers to adopt cutting-edge methodologies ...
to improve patient care and perform real-time evaluations of the efficacy, safety, and comparative effectiveness of available drugs. ...
, and shows great promise for the generation of computerized clinical decision support (CDS) [16] . ...
doi:10.1186/s40545-020-00276-6
pmid:33292570
fatcat:up5sgx6idrfb3ce5qwmzew4xrq
Informatics Infrastructure for Syndrome Surveillance, Decision Support, Reporting, and Modeling of Critical Illness
2010
Mayo Clinic proceedings
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METHODS: Using open-schema data feeds imported from electronic medical records (EMRs), we developed a near-real-time relational database (Multidisciplinary Epidemiology and Translational Research in Intensive ...
Open database connectivity supported the use of Boolean combinations of data that allowed authorized users to develop syndrome surveillance, decision support, and reporting (data "sniffers") routines. ...
We have deployed computerized clincian order entry throughout Mayo Clinic hospitals and have introduced a number of decision support rules for real-time interventions. ...
doi:10.4065/mcp.2009.0479
pmid:20194152
pmcid:PMC2843116
fatcat:66tmrrsdkfb4lgnglchvdpsnpy
An Efficient, Clinically-Natural Electronic Medical Record System that Produces Computable Data
2017
eGEMs
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Current commercially-available electronic medical record systems produce mainly text-based information focused on financial and regulatory performance. ...
The clinical decision support approach increased the structure of textual clinical documentation, to the point where established methods for converting text into computable data (natural language processing ...
Clinicians may need to supplement an activity's structured data with free text notes. The ART supports direct typing or voice recognition for that purpose. ...
doi:10.5334/egems.202
pmid:29881757
pmcid:PMC5982922
fatcat:uxge6jixzzctjannneaaxngw7u
From Free-Text to Structure in Electronic Patient Records
2019
Studies in Health Technology and Informatics
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to a structured EPR system constituting important preconditions for establishing advanced decision support and reuse of healthcare data. ...
How will the need for semantic interoperability between different EPRs influence the goal of advanced clinical decision support? ...
. / From Free-Text to Structure in Electronic Patient Records
G.-H. Severinsen et al. / From Free-Text to Structure in Electronic Patient Records ...
doi:10.3233/shti190143
pmid:31431582
fatcat:h623iho2u5gyvc6qxxrciruaie
Data Gaps in Electronic Health Record (EHR) Systems: An Audit of Problem List Completeness During the COVID-19 Pandemic
2021
International Journal of Medical Informatics
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Diagnoses and other clinical information stored in a structured way in electronic health records is extremely useful for supporting clinical decisions, improving patient care and enabling better research ...
However, recording of medical diagnoses on the structured problem list for inpatients is incomplete, with almost 40% of important diagnoses mentioned only in the free text notes. ...
topic • Diagnoses and other clinical information stored in a structured way in electronic health records is extremely useful for supporting clinical decisions, improving patient care and enabling better ...
doi:10.1016/j.ijmedinf.2021.104452
pmid:33864979
fatcat:dc3f5bzx2jd2rn2kawytifmmwu
The Emerging Role of Electronic Medical Records in Pharmacogenomics
2011
Clinical Pharmacology and Therapeutics
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providing real-time decision support. ...
9,10 health-care information technology and genotyping technology are both advancing rapidly, creating new opportunities for medical and scientific discovery. ...
Electronic medical records (EMRs) typically contain a combination of unstructured text reports and structured data. ...
doi:10.1038/clpt.2010.260
pmid:21248726
pmcid:PMC3204342
fatcat:wwchsgqmpzas5iaeeszdkx6x7q
Automated Outcome Classification of Emergency Department Computed Tomography Imaging Reports
2013
Academic Emergency Medicine
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Background-Reliably abstracting outcomes from free-text electronic medical records remains a challenge. ...
While automated classification of free text has been a popular medical informatics topic, performance validation using real-world clinical data has been limited. ...
Medical Language Extraction and Encoding (MedLEE) was developed with support from the National Library of Medicine (R01LM010016 and R01LM008635). ...
doi:10.1111/acem.12174
pmid:24033628
pmcid:PMC3898888
fatcat:v2fxoa6s3jbvhihli23oytnxge
A Medical Decision Support System for the Differential Diagnosis Based on Medical Information Text Mining
2020
Biomedical Journal of Scientific & Technical Research
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Many Information and Communication Technologies (ICT) tools promise to help and support a medical decision in diagnosing diseases. ...
More to the point, doctors' logic concerns data retrieval from knowledge recorded in their memory, combining thus more descriptive expressions that describe symptoms critical for concluding the correct ...
support the medical decision and take place in real-time, facilitating the work of doctors. ...
doi:10.26717/bjstr.2020.30.005020
fatcat:53kylkomynfxlpxrqcfsf6kyky
Key Contributions in Clinical Research Informatics
2021
IMIA Yearbook of Medical Informatics
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Method: A bibliographic search using a combination of Medical Subject Headings (MeSH) descriptors and free-text terms on CRI was performed using PubMed, followed by a double-blind review in order to select ...
(AI/ML) algorithms based on ever more intensive use of real-world data and especially EHR real or synthetic data. ...
for their contribution to the selection process of the Clinical Research Informatics section for the IMIA Yearbook 2021. ...
doi:10.1055/s-0041-1726514
pmid:34479395
fatcat:zaop3wfv5fhplnompbmyxc6rzi
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