| 1. |
- 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.
|
|
| 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. |
- 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.
|
|
