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norskBlar i forfatter "Budrionis, Andrius"
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The association between health information seeking on the internet and physician visits (The Seventh Tromsø Study - Part 4): Population-based questionnaire study
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-05)Background: The internet is being widely used for seeking health information. However, there is no consensus on the association between health information seeking on the internet and the use of health care services. Objective: We examined the association between health information seeking via the internet and physician visits. In addition, we investigated the association between online health ... -
Challenges and opportunities beyond structured data in analysis of electronic health records
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-02-14)Electronic health records (EHR) contain a lot of valuable information about individual patients and the whole population. Besides structured data, unstructured data in EHRs can provide extra, valuable information but the analytics processes are complex, time-consuming, and often require excessive manual effort. Among unstructured data, clinical text and images are the two most popular and important ... -
De-identifying Swedish EHR text using public resources in the general domain
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020)Sensitive data is normally required to develop rule-based or train machine learning-based models for de-identifying electronic health record (EHR) clinical notes; and this presents important problems for patient privacy. In this study, we add non-sensitive public datasets to EHR training data; (i) scientific medical text and (ii) Wikipedia word vectors. The data, all in Swedish, is used to train a ... -
Deidentifying a Norwegian clinical corpus - An effort to create a privacy-preserving Norwegian large clinical language model
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024)This study discusses the methods and challenges of deidentifying and pseudonymizing Norwegian clinical text for research purposes. The results of the NorDeid tool for deidentification and pseudonymization on different types of protected health information were evaluated and discussed, as well as the extension of its functionality with regular expressions to identify specific types of sensitive ... -
Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-05)<p><i>Background:</i> Electronic health (eHealth) services may help people obtain information and manage their health, and they are gaining attention as technology improves, and as traditional health services are placed under increasing strain. We present findings from the first representative, large-scale, population-based study of eHealth use in Norway. <p><i>Objective:</i> The objectives of ... -
An Evaluation Framework for Defining the Contributions of Telestration in Surgical Telementoring
(Journal article; Tidsskriftartikkel; Peer reviewed, 2013)Background: An increasing quantity of research in the domain of telemedicine show a growing popularity and acceptance of care over distance systems among both clinicians and patients. We focus on telementoring solutions, developed for providing remote guidance to less experienced surgeons. Telestration is often regarded as an extra functionality of some telementoring systems. However, we advocate ... -
Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-05)<p><i>Background:</i> Patients who suffer from different diseases may use different electronic health (eHealth) resources. Thus, those who plan eHealth interventions should take into account which eHealth resources are used most frequently by patients that suffer from different diseases. <p><i>Objective:</i> The aim of this study was to understand the associations between different groups of chronic ... -
Impact of the use of electronic health tools on the psychological and emotional well-being of electronic health service users (The Seventh Tromsø Study - Part 3): Population-based questionnaire study
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-05)<p><i>Background:</i> Electronic health (eHealth) has been described as a silver bullet for addressing how challenges of the current health care system may be solved by technological solutions in future strategies and visions for modern health care. However, the evidence of its effects on service quality and cost effectiveness remains unclear. In addition, patients’ psychological and emotional ... -
Improving Quality of ICD-10 (International Statistical Classification of Diseases, Tenth Revision) Coding Using AI: Protocol for a Crossover Randomized Controlled Trial
(Journal article; Tidsskriftartikkel; Peer reviewed, 2024-03-12)Background: Computer-assisted clinical coding (CAC) tools are designed to help clinical coders assign standardized codes, such as the ICD-10 (International Statistical Classification of Diseases, Tenth Revision), to clinical texts, such as discharge summaries. Maintaining the integrity of these standardized codes is important both for the functioning of health systems and for ensuring data used ... -
The Influence of NegEx on ICD-10 Code Prediction in Swedish: How is the Performance of BERT and SVM Models Affected by Negations?
(Journal article; Tidsskriftartikkel, 2022-08-22)Clinical text contains many negated concepts since the physician excludes irrelevant symptoms when reasoning and concluding about the diagnosis. This study investigates the machine interpretation of negated symptoms and diagnoses using a rule-based negation detector and its influence on downstream text classification task. The study focuses on the effect of negated concepts and NegEx preprocessing ... -
Machine Learning in Chronic Pain Research: A Scoping Review
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-04-02)Given the high prevalence and associated cost of chronic pain, it has a significant impact on individuals and society. Improvements in the treatment and management of chronic pain may increase patients’ quality of life and reduce societal costs. In this paper, we evaluate state-of-the-art machine learning approaches in chronic pain research. A literature search was conducted using the PubMed, IEEE ... -
Privacy-preserving architecture for providing feedback to clinicians on their clinical performance
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06-22)<i>Background</i> - Learning from routine healthcare data is important for the improvement of the quality of care. Providing feedback on clinicians’ performance in comparison to their peers has been shown to be more efficient for quality improvements. However, the current methods for providing feedback do not fully address the privacy concerns of stakeholders.<p><p> <i>Methods</i> - The paper ... -
Using a large open clinical corpus for improved ICD-10 diagnosis coding
(Journal article; Tidsskriftartikkel, 2023)With the recent advances in natural language processing and deep learning, the development of tools that can assist medical coders in ICD-10 diagnosis coding and increase their efficiency in coding discharges ummaries is significantly more viable than before. To that end, one important component in the development of these models is the datasets used to train them. In this study, such datasets are ... -
Web-Based Surgical Telementoring. Service design and evaluation of the key features.
(Doctoral thesis; Doktorgradsavhandling, 2015-10-13)This thesis provides a detailed outlook on research in telementoring, identifying the fundamental limitations hindering its smooth integration into clinical practice. The findings are based on literature reviews and user involvement, minimizing the gap between research and actual use of the system. To address the identified shortcomings, a service-oriented approach to clinical VC systems was proposed. ...
