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Assisting nurses in care documentation: from automated sentence classification to coherent document structures with subject headings
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Background:
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Up to 35% of nurses' working time is spent on care documentation.
We describe the ...
Exploring unsupervised query paraphrasing to identify relevant search phrases for a literature review
<p>Literature databases have multifaceted search options, but emerging research areas do not have an established terminology and therefore it is difficult to find relevant literature when conducting a review. This study ...
Unsupervised phrase-level query rewriting for assisting search in clinical free text
<p>We report on the pilot evaluation of an experimental query-based search
functionality that enables phrase-level query rewriting in an
unsupervised way. It is intended for supporting search in clinical text.
...
Improving layman readability of clinical narratives with unsupervised synonym replacement
<p>We report on the development and evaluation of a prototype tool aimed to assist laymen/patients in understanding the content of clinical narratives. The tool relies largely on unsupervised machine learning applied to ...
Evaluation of a Prototype System that Automatically Assigns Subject Headings to Nursing Narratives Using Recurrent Neural Network
<p>We present our initial evaluation of a prototype
system designed to assist nurses in assigning
subject headings to nursing narratives
– written in the context of documenting patient
care in hospitals. Currently ...
Semantic clustering to augment qualitative content analysis in exploring reasons for emergency department transfer delays
<p>The aim of the study was to explore emergency department transfer</p><p>delays and to assess the potential of using a semantic clustering approach to augment</p><p>the content analysis of transfer delay data. Data were ...
Changing Role of EMS -Analyses of Non-Conveyed and Conveyed Patients in Finland
<p>Abstract
Background: Emergency Medical Services (EMS) and Emergency Departments (ED) have seen increasing
attendance rates in the last decades. Currently, EMS are increasingly assessing and treating patients without ...
Pain process of patients with cardiac surgery — Semantic annotation of electronic patient record data
Aims and objectives: To describe and compare the pain process of the patients’ with cardiac surgery through nurses’ and physicians’ documentations in the electronic patient records.<br /><br />Background: Postoperative ...
A Machine Learning Approach Towards Early Detection of Frequent Health Care Users
In primary health care, a small number of frequent users incur a large portion of the total health care expenditures. In this work, we study whether it is possible to recognize these frequent users early on, through the ...