| 1. |
- Abovarda, Adam, et al.
(författare)
-
E-learning as Part of Residency Education
- 2023
-
Ingår i: Caring is Sharing. - : IOS Press. - 9781643683881 - 9781643683898 ; , s. 496-497
-
Konferensbidrag (refereegranskat)abstract
- Through a literature review in combination with qualitative analysis of course evaluations, this study examines aspects that contribute to enhancing elearning for physicians in a residency education program. The literature review and the qualitative analysis outline three main factors (pedagogical, technological, and organizational), highlighting the importance of a holistic approach that includes learning and technology in context when integrating e-learning strategies in adult learning programs. The findings contribute insights and practical guidance for education organizers on how to conduct e-learning during and after the pandemic.
|
|
| 2. |
- Amirahmadi, Ali, 1994-, et al.
(författare)
-
A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning
- 2023
-
Ingår i: Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023. - Amsterdam : IOS Press. - 0926-9630 .- 1879-8365. - 9781643683881 ; 302, s. 609-610, s. 609-610
-
Konferensbidrag (refereegranskat)abstract
- Using electronic health records data and machine learning to guide future decisions needs to address challenges, including 1) long/short-term dependencies and 2) interactions between diseases and interventions. Bidirectional transformers have effectively addressed the first challenge. Here we tackled the latter challenge by masking one source (e.g., ICD10 codes) and training the transformer to predict it using other sources (e.g., ATC codes).
|
|
| 3. |
- Björkquist, Anna, et al.
(författare)
-
Towards Implementation of a Home-Based Phantom Limb Pain Treatment Facilitated by Textile-Electrode System - A Case Study
- 2023
-
Ingår i: Caring is Sharing — Exploiting the Value in Data for Health and Innovation. - : IOS Press. - 9781643683881 - 9781643683898 ; , s. 682-683
-
Konferensbidrag (refereegranskat)abstract
- This case study reports the use of a new textile-electrode system for self-administered Phantom Motor Execution (PME) treatment at home in one patient with Phantom Limb Pain (PLP). In follow-up interviews, the patient reported reduced pain, increased mobility, and improved mental health, and aspects such as motivation, usability, support, and treatment outcome, could be recognized from an earlier study as crucial for successful implementation and adoption of the home-based long-term treatment. The findings are of interest to developers, providers, users, and researchers planning home-based clinical studies and/or scenarios based on technology-assisted treatment.
|
|
| 4. |
- Blusi, Madeleine, 1968-, et al.
(författare)
-
Factors to consider when introducing digital social activities to older persons with home care
- 2023
-
Ingår i: Caring is sharing. - : IOS Press. - 9781643683881 - 9781643683898 ; , s. 453-457
-
Konferensbidrag (refereegranskat)abstract
- Social isolation and loneliness have become everyday concerns forpopulations all over the world as these factors are affecting both physical and mentalhealth in a negative way. Feelings of isolation and loneliness are increasinglyacknowledged as a health risk among older persons. ICTs have been recognized aseffective tools to combat social isolation among older people. The aim of this studywas to explore factors of significance when introducing a tablet-based systemproviding digital social activities for older persons with home care. Participants were17 persons, age 70 and older, who lived alone and had assistance from home care.This exploratory study used cross-sectional qualitative data analyzed throughthematic analysis. Three themes were generated: 1) lacking vocabulary related tothe context, 2) intuitive user interface may replace extensive instructions and 3)unwillingness to commit to a pre-defined measure of performance.
|
|
| 5. |
- Budu, Emmanuella, 1995-, et al.
(författare)
-
A Framework for Evaluating Synthetic Electronic Health Records
- 2023
-
Ingår i: Caring is Sharing – Exploiting the Value in Data for Health and Innovation. - Amsterdam : IOS Press. - 9781643683881 - 9781643683898 ; , s. 378-379
-
Konferensbidrag (refereegranskat)abstract
- Synthetic data generation can be applied to Electronic Health Records (EHRs) to obtain synthetic versions that do not compromise patients' privacy. However, the proliferation of synthetic data generation techniques has led to the introduction of a wide variety of methods for evaluating the quality of generated data. This makes the task of evaluating generated data from different models challenging as there is no consensus on the methods used. Hence the need for standard ways of evaluating the generated data. In addition, the available methods do not assess whether dependencies between different variables are maintained in the synthetic data. Furthermore, synthetic time series EHRs (patient encounters) are not well investigated, as the available methods do not consider the temporality of patient encounters. In this work, we present an overview of evaluation methods and propose an evaluation framework to guide the evaluation of synthetic EHRs. © 2023 European Federation for Medical Informatics (EFMI) and IOS Press.
|
|
| 6. |
- Bärkås, Annika, et al.
(författare)
-
Patients' Experiences of Unwanted Access to Their Online Health Records
- 2023
-
Ingår i: Studies in Health Technology and Informatics. - : IOS Press. - 0926-9630 .- 1879-8365. ; 302, s. 356-357, s. 356-357
-
Tidskriftsartikel (refereegranskat)abstract
- Patient-Accessible Electronic Health Records (PAEHR) are particularly disputed in mental healthcare. We aim to explore if there is any association between patients having a mental health condition and someone unwanted seeing their PAEHR. A chi-square test showed a statistically significant association between group belonging and experiences of someone unwanted seeing their PAEHR.
|
|
| 7. |
- Hagström, Josefin, et al.
(författare)
-
Adolescents Identifying Errors and Omissions in Their Electronic Health Records : A National Survey
- 2023
-
Ingår i: Caring is Sharing. - : IOS Press. - 9781643683881 - 9781643683898 ; 302, s. 242-246
-
Konferensbidrag (refereegranskat)abstract
- Patient accessible electronic health records (PAEHRs) have been proposed as a means to improve patient safety and documentation quality, as patients become an additional source to detect mistakes in the records. In pediatric care, healthcare professionals (HCP) have noted a benefit of parent proxy users correcting errors in their child's records. However, the potential of adolescents has so far been overlooked, despite reports of reading records to ensure accuracy. The present study examines errors and omissions identified by adolescents, and whether patients reported following up with HCPs. Survey data was collected during three weeks in January and February 2022 via the Swedish national PAEHR. Of 218 adolescent respondents, 60 reported having found an error (27.5%) and 44 (20.2%) had found missing information. Most adolescents did not take any action upon identifying an error or an omission (64.0%). Omissions were more often perceived as serious than errors. These findings call for development of policy and PAEHR design that facilitates reports of errors and omissions for adolescents, which could both improve trust and support the individual's transition into an involved and engaged adult patient.
|
|
| 8. |
- Hamed, Omar, 1979-, et al.
(författare)
-
Temporal Context Matters : An Explainable Model for Medical Resource Utilization in Chronic Kidney Disease
- 2023
-
Ingår i: Caring is Sharing – Exploiting the Value in Data for Health and Innovation. - Amsterdam : IOS Press. - 9781643683881 - 9781643683898 ; , s. 613-614
-
Konferensbidrag (refereegranskat)abstract
- The prediction of medical resource utilization is beneficial for effective healthcare resource planning and allocation. Previous work in resource utilization prediction can be categorized into two main classes, count-based and trajectory-based. Both of these classes have some challenges, in this work we propose a hybrid approach to overcome these challenges. Our initial results promote the value of temporal context in resource utilization prediction and highlight the importance of model explainability in understanding the main important variables. © 2023 European Federation for Medical Informatics (EFMI) and IOS Press.
|
|
| 9. |
- Hägglund, Maria, Lektor, 1975-, et al.
(författare)
-
The Future of Online Video Consultations in Primary Care : A Qualitative Study
- 2023
-
Ingår i: Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023. - : IOS Press. - 0926-9630 .- 1879-8365. - 9781643683881 - 9781643683898 ; 302, s. 942-946
-
Konferensbidrag (refereegranskat)abstract
- The COVID-19 pandemic has significantly increased the use of remote services such as video consultations (VCs). In Sweden, private healthcare providers offering VCs have grown substantially since 2016 and have been controversial. Few studies have focused on physicians' experiences of providing care in this context. Our overall aim was to study physicians' experiences of VCs, here focusing on their suggestions for future improvements. Twenty-two semi-structured interviews were performed with physicians working for an online healthcare provider in Sweden, and analyzed through inductive content analysis. Two themes emerged related to desired future improvements of VCs; blended care and technical innovation.
|
|
| 10. |
- Kitkowska, Agnieszka, et al.
(författare)
-
Improving Well-Being in Schools - Lessons Learned from IoT Experts
- 2023
-
Ingår i: Studies in Health Technology and Informatics. - Amsterdam : IOS Press. - 0926-9630 .- 1879-8365. ; 302, s. 666-670, s. 666-670
-
Tidskriftsartikel (refereegranskat)abstract
- The Internet of Things (IoT) is a source of knowledge about the surrounding environment and people in such an environment. The insights collected by IoT can provide the knowledge needed to improve people’s health and overall well-being. Schools are one environment where IoT is scarcely applied, yet, it is expected that this is where children and teenagers spend most of their time. Drawing on previous findings, this paper presents preliminary results from qualitative inquiry investigating how and what IoT-based solutions could support health and well-being in elementary educational settings.
|
|
| 11. |
- Lindberg, Anja, et al.
(författare)
-
An audit of dietitians' documentation : Comparing the level of agreement between the audit instruments Diet-NCP-Audit and NCP-QUEST
- 2023
-
Ingår i: Caring is Sharing. - : IOS Press. - 9781643683881 - 9781643683898 ; 302, s. 398-399
-
Konferensbidrag (refereegranskat)abstract
- To explore the inter-rater reliability of the Swedish translation of NCP-QUEST in a Swedish context and investigate the level of agreement between Diet-NCP-Audit and NCP-QUEST in assessment of documentation quality. A retrospective audit was conducted of 40 electronic patient records written by dietitians at one University Hospital in Sweden. NCP-QUEST showed good inter-rater reliability for the quality category (ICC = 0.85) and excellent inter-rater reliability for total score (ICC = 0.97).
|
|
| 12. |
- Muli, Irene, et al.
(författare)
-
Patients' Introduction to Online Video Consultations in Primary Healthcare
- 2023
-
Ingår i: Caring is Sharing. - : IOS Press. - 9781643683881 - 9781643683898 ; , s. 1011-1012
-
Konferensbidrag (refereegranskat)abstract
- This study aimed to illustrate ways primary healthcare patients were introduced to video consultations via the public online care application Alltid öppet in Region Stockholm, Sweden. The majority of patients were introduced to this by their providers or other healthcare professionals.
|
|
| 13. |
- Petersson, Lena, 1968-, et al.
(författare)
-
Ethical Perspectives on Implementing AI to Predict Mortality Risk in Emergency Department Patients : A Qualitative Study
- 2023
-
Ingår i: Caring is sharing - exploiting the value in data for health and innovation. - Amsterdam : IOS Press. - 9781643683881 - 9781643683898 ; , s. 676-677
-
Konferensbidrag (refereegranskat)abstract
- Artificial intelligence (AI) is predicted to improve health care, increase efficiency and save time and recourses, especially in the context of emergency care where many critical decisions are made. Research shows the urgent need to develop principles and guidance to ensure ethical AI use in healthcare. This study aimed to explore healthcare professionals' perceptions of the ethical aspects of implementing an AI application to predict the mortality risk of patients in emergency departments. The analysis used an abductive qualitative content analysis based on the principles of medical ethics (autonomy, beneficence, non-maleficence, and justice), the principle of explicability, and the new principle of professional governance, that emerged from the analysis. In the analysis, two conflicts and/or considerations emerged tied to each ethical principle elucidating healthcare professionals' perceptions of the ethical aspects of implementing the AI application in emergency departments. The results were related to aspects of sharing information from the AI application, resources versus demands, providing equal care, using AI as a support system, trustworthiness to AI, AI-based knowledge, professional knowledge versus AI-based information, and conflict of interests in the healthcare system. © 2023 European Federation for Medical Informatics (EFMI) and IOS Press.
|
|
| 14. |
- Premanandan, Shweta, et al.
(författare)
-
Designing a Persuasive E-Coaching Application for Informal Caregivers
- 2023
-
Ingår i: Caring is Sharing. - : IOS Press. - 9781643683898 - 9781643683881 ; , s. 922-926
-
Konferensbidrag (refereegranskat)abstract
- Being an informal caregiver is not easy, and might cause physical and psychosocial burden, especially in the long run. However, the formal health care system has little support for informal caregivers who experience abandonment and lack information. Mobile health can potentially be an efficient and cost-effective way of supporting informal caregivers. However, research has shown that mHealth systems often have problems with usability, and people do not use the systems for more than a short period. Therefore, this paper explores the design of an mHealth app using Persuasive Design, an established design framework. This paper presents the design of the first version of the e-coaching application using the persuasive design framework and unmet needs of informal caregivers from the literature. This prototype version will be updated based on interview data from informal caregivers in Sweden.
|
|
| 15. |
- Gharehbaghi, Arash, 1972-, et al.
(författare)
-
Parralel Recurrent Convolutional Neural Network for Abnormal Heart Sound Classification
- 2023
-
Ingår i: CARING IS SHARING-EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION-PROCEEDINGS OF MIE 2023. - : IOS PRESS. - 9781643683898 ; , s. 526-530
-
Konferensbidrag (refereegranskat)abstract
- This paper presents the results of a study performed on Parallel Convolutional Neural Network (PCNN) toward detecting heart abnormalities from the heart sound signals. The PCNN preserves dynamic contents of the signal in a parallel combination of the recurrent neural network and a Convolutional Neural Network (CNN). The performance of the PCNN is evaluated and compared to the one obtained from a Serial form of the Convolutional Neural Network (SCNN) as well as two other baseline studies: a Long- and Short-Term Memory (LSTM) neural network and a Conventional CNN (CCNN). We employed a well-known public dataset of heart sound signals: the Physionet heart sound. The accuracy of the PCNN, was estimated to be 87.2% which outperforms the rest of the three methods: the SCNN, the LSTM, and the CCNN by 12%, 7%, and 0.5%, respectively. The resulting method can be easily implemented in an Internet of Things platform to be employed as a decision support system for the screening heart abnormalities.
|
|
| 16. |
- Gharehbaghi, Arash, 1972-, et al.
(författare)
-
Parralel Recurrent Convolutional Neural Network for Abnormal Heart Sound Classification
- 2023
-
Ingår i: Caring is sharing - exploiting the value in data for health and innovation. - Amsterdam : IOS Press. - 9781643683881 ; , s. 526-530
-
Konferensbidrag (refereegranskat)abstract
- This paper presents the results of a study performed on Parallel Convolutional Neural Network (PCNN) toward detecting heart abnormalities from the heart sound signals. The PCNN preserves dynamic contents of the signal in a parallel combination of the recurrent neural network and a Convolutional Neural Network (CNN). The performance of the PCNN is evaluated and compared to the one obtained from a Serial form of the Convolutional Neural Network (SCNN) as well as two other baseline studies: a Long- and Short-Term Memory (LSTM) neural network and a Conventional CNN (CCNN). We employed a well-known public dataset of heart sound signals: the Physionet heart sound. The accuracy of the PCNN, was estimated to be 87.2% which outperforms the rest of the three methods: the SCNN, the LSTM, and the CCNN by 12%, 7%, and 0.5%, respectively. The resulting method can be easily implemented in an Internet of Things platform to be employed as a decision support system for the screening heart abnormalities.
|
|
| 17. |
- Hammar, Tora, 1984-, et al.
(författare)
-
Challenges with Medication Management and the National Medication List in Sweden : An Interview Study from a Human, Organizational, and Technology Perspective
- 2023
-
Ingår i: Caring is Sharing – Exploiting the Value in Data for Health and Innovation. - : IOS Press. - 9781643683881 ; , s. 287-291
-
Konferensbidrag (refereegranskat)abstract
- Sweden is in the process of implementing the National Medication List (NLL). The aim of this study was to explore the challenges with the medication management process, as well as expectation for NLL, from a human, organizational, and technology perspective. This study included interviews with prescribers, nurses, pharmacists, patients, and their relatives and was conducted during March to June 2020, before the implementation of NLL. Challenges were (1) feeling lost with several different medication lists, (2) spending time searching for information, (3) being frustrated at parallel information systems, (4) patients being the carriers of information, and (5) the feeling of being responsible in an indistinct process. The expectations for NLL in Sweden were high, but there were several fears.
|
|
| 18. |
- Hammar, Tora, 1984-, et al.
(författare)
-
Nationally Shared Medication Lists-Describing Systems in the Nordic Countries
- 2023
-
Ingår i: Caring is Sharing – Exploiting the Value in Data for Health and Innovation. - : IOS Press. - 9781643683881 ; , s. 207-211
-
Konferensbidrag (refereegranskat)abstract
- This paper provides an overview of shared medication lists (SMLs) in four Nordic countries (Denmark, Finland, Norway and Sweden) with a focus on the type of information the list is based on. This is a structured comparison conducted in stages using an expert group, grey papers, unpublished materials, web pages, as well as scientific papers. Denmark and Finland have implemented their solutions for an SML and Norway and Sweden are working on the implementation of their solution. Denmark and Norway have or are aiming at a list based on medication orders, while Finland and Sweden have lists based on prescriptions.
|
|
| 19. |
- Hashemi, Atiye Sadat, 1991-, et al.
(författare)
-
Domain Knowledge-Driven Generation of Synthetic Healthcare Data
- 2023
-
Ingår i: Caring is Sharing – Exploiting the Value in Data for Health and Innovation. - Amsterdam : IOS Press. - 9781643683898 ; , s. 352-353
-
Konferensbidrag (refereegranskat)abstract
- Healthcare longitudinal data collected around patients' life cycles, today offer a multitude of opportunities for healthcare transformation utilizing artificial intelligence algorithms. However, access to "real" healthcare data is a big challenge due to ethical and legal reasons. There is also a need to deal with challenges around electronic health records (EHRs) including biased, heterogeneity, imbalanced data, and small sample sizes. In this study, we introduce a domain knowledge-driven framework for generating synthetic EHRs, as an alternative to methods only using EHR data or expert knowledge. By leveraging external medical knowledge sources in the training algorithm, the suggested framework is designed to maintain data utility, fidelity, and clinical validity while preserving patient privacy. © 2023 European Federation for Medical Informatics (EFMI) and IOS Press.
|
|
| 20. |
- Hoffmann, Mikael
(författare)
-
Timeline of and Expectations for the National Medication List in Sweden
- 2023
-
Ingår i: CARING IS SHARING-EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION-PROCEEDINGS OF MIE 2023. - : IOS PRESS. - 9781643683898 ; , s. 327-331
-
Konferensbidrag (refereegranskat)abstract
- It is important to separate the continuous chains of medications orders (or decisions by the prescriber) in modern electronic health records from the one-way communication of prescriptions from healthcare to pharmacies. To support the self-administration of prescribed drugs the patient needs a continuously updated list of medication orders. For the NLL to function as a safe resource for the patient, it is necessary to have the information updated, curated, and documented by prescribers in a one-step process within the electronic health record. Four of the Nordic countries have chosen separate ways trying to achieve this. The experiences and obstacles during the introduction of the mandatory National Medication List (NLL) in Sweden and the resulting delays are described. The planned integration for 2022 is now delayed to 2025 and will probably only be achieved in 2028 or even 2030 in some regions.
|
|
| 21. |
- Kokkinakis, Dimitrios, 1965, et al.
(författare)
-
The Prevalence of mRNA Related Discussions during the Post-COVID-19 Era
- 2023
-
Ingår i: Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023. - : IOS Press. - 0926-9630 .- 1879-8365. - 9781643683881 ; 302, s. 798-802
-
Konferensbidrag (refereegranskat)abstract
- Vaccinations are one of the most significant interventions to public health, but vaccine hesitancy and skepticism are raising serious concerns for a portion of the population in many countries, including Sweden. In this study, we use Swedish social media data and structural topic modeling to automatically identify mRNA-vaccine related discussion themes and gain deeper insights into how people's refusal or acceptance of the mRNA technology affects vaccine uptake. Our point of departure is a scientific study published in February 2022, which seems to once again sparked further suspicion and concern and highlight the necessity to focus on issues about the nature and trustworthiness in vaccine safety. Structural topic modelling is a statistical method that facilitates the study of topic prevalence, temporal topic evolution, and topic correlation automatically. Using such a method, our research goal is to identify the current understanding of the mechanisms on how the public perceives the mRNA vaccine in the light of new experimental findings.
|
|
| 22. |
- Lundström, Jens, 1981-, et al.
(författare)
-
Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease
- 2023
-
Ingår i: Caring is sharing - exploiting the value in data for health and innovation. - Amsterdam : IOS Press. - 9781643683881 ; , s. 603-604
-
Konferensbidrag (refereegranskat)abstract
- Understanding the aspects of progression for atherosclerotic cardiovascular disease and treatment is key to building reliable clinical decision-support systems. To promote system trust, one step is to make the machine learning models (used by the decision support systems) explainable for clinicians, developers, and researchers. Recently, working with longitudinal clinical trajectories using Graph Neural Networks (GNNs) has attracted attention among machine learning researchers. Although GNNs are seen as black-box methods, promising explainable AI (XAI) methods for GNNs have lately been proposed. In this paper, which describes initial project stages, we aim at utilizing GNNs for modeling, predicting, and exploring the model explainability of the low-density lipoprotein cholesterol level in long-term atherosclerotic cardiovascular disease progression and treatment.
|
|
| 23. |
- Rajabi, Enayat, 1978-, et al.
(författare)
-
Building a Disease Knowledge Graph
- 2023
-
Ingår i: Caring is sharing - exploiting the value in data for health and innovation. - Amsterdam : IOS Press. - 9781643683881 ; , s. 701-705
-
Konferensbidrag (refereegranskat)abstract
- Knowledge graphs have proven themselves as a robust tool in clinical applications to aid patient care and help identify treatments for new diseases. They have impacted many information retrieval systems in healthcare. In this study, we construct a disease knowledge graph using Neo4j (a knowledge graph tool) for a disease database to answer complex questions that are time-consuming and labour-intensive to be answered in the previous system. We demonstrate that new information can be inferred in a knowledge graph based on existing semantic relationships between the medical concepts and the ability to perform reasoning in the knowledge graph.
|
|
| 24. |
- Soliman, Amira, 1980-, et al.
(författare)
-
Interdisciplinary Human-Centered AI for Hospital Readmission Prediction of Heart Failure Patients
- 2023
-
Ingår i: Caring is sharing - exploiting the value in data for health and innovation. - Amsterdam : IOS Press. - 9781643683881 ; , s. 556-560
-
Konferensbidrag (refereegranskat)abstract
- The evolution of clinical decision support (CDS) tools has been improved by usage of new technologies, yet there is an increased need to develop user-friendly, evidence-based, and expert-curated CDS solutions. In this paper, we show with a use-case how interdisciplinary expertise can be combined to develop CDS tool for hospital readmission prediction of heart failure patients. We also discuss how to make the tool integrated in clinical workflow by understanding end-user needs and have clinicians-in-the-loop during the different development stages. © 2023 European Federation for Medical Informatics (EFMI) and IOS Press.
|
|
