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Prescriptions

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HL7 FHIR: Ontological Reinterpretation of Medication Resources.

Studies in health technology and informatics
"A solid ontology-based analysis with a rigorous formal mapping for correctness" is one of the ten reasons why the HL7 standard Fast Healthcare Interoperability Resources (FHIR) is advertised to be better than other standards for EHR interoperability...

Prescription extraction using CRFs and word embeddings.

Journal of biomedical informatics
In medical practices, doctors detail patients' care plan via discharge summaries written in the form of unstructured free texts, which among the others contain medication names and prescription information. Extracting prescriptions from discharge sum...

Harnessing Ontologies to Improve Prescription in Pediatric Medicine.

Studies in health technology and informatics
There are many drug databases, but sometimes the data quality may result in wrong medication for patients. Results that it is very important to provide a good quality drug information, supply structured information and build useful relations between ...

Supporting Prescriptions with Synonym Matching of Section Names in Prospectuses.

Studies in health technology and informatics
The field of medicine still reports errors because of insufficient knowledge or resources, work load or data not available at the right time and place, and this may be fatal for a patient. To improve the healthcare quality, a doctor needs accurate an...

Use of text-mining methods to improve efficiency in the calculation of drug exposure to support pharmacoepidemiology studies.

International journal of epidemiology
BACKGROUND: Efficient generation of structured dose instructions that enable researchers to calculate drug exposure is central to pharmacoepidemiology studies. Our aim was to design and test an algorithm to codify dose instructions, applied to the NH...

Development of Machine Learning Algorithms for Prediction of Sustained Postoperative Opioid Prescriptions After Total Hip Arthroplasty.

The Journal of arthroplasty
BACKGROUND: Postoperative recovery after total hip arthroplasty (THA) can lead to the development of prolonged opioid use but there are few tools for predicting this adverse outcome. The purpose of this study is to develop machine learning algorithms...

Improving the Prescription Process Information Support with Structured Medical Prospectuses Using Neural Networks.

Studies in health technology and informatics
To provide the best treatment, a physician needs information about both the patient and the medicines matching the patient status and improving it. In this article, we present three methods for structuring the sections of medical prospectuses using n...

A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To improve patient safety and clinical outcomes by reducing the risk of prescribing errors, we tested the accuracy of a hybrid clinical decision support system in prioritizing prescription checks.

Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning.

Journal of biomedical informatics
The US is experiencing an opioid epidemic, and opioid overdose is causing more than 100 deaths per day. Early identification of patients at high risk of Opioid Overdose (OD) can help to make targeted preventative interventions. We aim to build a deep...