The development of new Electronic Health Record Exchange Format Use Cases - an evaluating perspective

Abstract   The EU-funded X-eHealth project aims to lay the foundations for a common framework for medical imaging, discharge letters, laboratory results and rare diseases to advance an interoperable Common European Health Data Space for citizens and healthcare providers in accordance with privacy and cybersecurity regulations. To ensure sustainability of the project, it is crucial to assess whether X-eHealth is achieving its planned objectives and delivers tangible results. A key challenge in evaluating project outcomes lies in the partial lack of visibility of direct impacts due to a time lag of effects or attribution problems (i.e., identifying the main cause of a particular impact). In X-eHealth, we address this problem by defining a framework of Key Performance Indicators (KPI) that allows the monitoring of project outcomes. In addition, qualitative interviews with a focus on the following questions are conducted towards the end of the project to complement the evaluation: • Does X-eHealth advance the integration process of eHealth services in Europe? • Will X-eHealth lead to increased use of the new European Electronic Health Record Exchange Format (EEHRxF) specifications? Although final results are not yet available, we expect X-eHealth to have a positive impact at all stakeholder levels by accelerating the implementation of EEHRxF through the harmonisation of health data, thus providing patients, health professionals and institutions with increased quality, safety and efficiency. There is little evidence to analyse the impact of eHealth policy interventions. For this reason, the present evaluation makes a significant contribution to impact research in this area. X-eHealth highlights the importance of international cooperation in creating a common framework for the future development of digital health in the EU. The continuous evaluation, moreover, facilitates a more efficient management of resources through KPI observance and the implementation of project results. Key messages • X-eHealth aims to accelerate the implementation of the European eHealth Record exchange Format (EEHRxF) through the standardisation and harmonisation of health data. • By evaluating and monitoring the project processes, it is possible to ensure the progress of the project and to measure the potential impacts of the outcomes on stakeholders and other target groups.


Background:
As the use of social networking sites (SNSs) has greatly increased among health professionals, it is necessary to investigate their use of SNSs.The aim of this study was to identify the patterns of SNS use for contact with patients between medical doctors (MD) and doctors of dental medicine (DMD) in Croatia.

Methods:
In collaboration with the Croatian Medical Chamber and the Croatian Chamber of Dental Medicine, a quantitative crosssectional study was conducted on the use of SNSs and the attitudes of MDs and DMDs towards e-professionalism.Data were collected using online questionnaires.The data were analyzed using descriptive statistics.

Conclusions:
The results show that DMDs are more open to communicating with patients via SNSs.Results showed a difference between MDs and DMDs in both directions -in sending requests to patients or their family members and in positive responses to their requests for connection.The findings point to the need to develop guidelines for health professionals regarding eprofessionalism.
project, it is crucial to assess whether X-eHealth is achieving its planned objectives and delivers tangible results.A key challenge in evaluating project outcomes lies in the partial lack of visibility of direct impacts due to a time lag of effects or attribution problems (i.e., identifying the main cause of a particular impact).In X-eHealth, we address this problem by defining a framework of Key Performance Indicators (KPI) that allows the monitoring of project outcomes.In addition, qualitative interviews with a focus on the following questions are conducted towards the end of the project to complement the evaluation: Does X-eHealth advance the integration process of eHealth services in Europe?Will X-eHealth lead to increased use of the new European Electronic Health Record Exchange Format (EEHRxF) specifications?Although final results are not yet available, we expect X-eHealth to have a positive impact at all stakeholder levels by accelerating the implementation of EEHRxF through the harmonisation of health data, thus providing patients, health professionals and institutions with increased quality, safety and efficiency.There is little evidence to analyse the impact of eHealth policy interventions.For this reason, the present evaluation makes a significant contribution to impact research in this area.X-eHealth highlights the importance of international cooperation in creating a common framework for the future development of digital health in the EU.The continuous evaluation, moreover, facilitates a more efficient management of resources through KPI observance and the implementation of project results.

Key messages:
X-eHealth aims to accelerate the implementation of the European eHealth Record exchange Format (EEHRxF) through the standardisation and harmonisation of health data.
By evaluating and monitoring the project processes, it is possible to ensure the progress of the project and to measure the potential impacts of the outcomes on stakeholders and other target groups. Abstract

Background:
Along with the Covid-19 pandemic we need to fight an 'infodemic'.Some of the most widespread social media platforms such as Facebook, Instagram and Twitter have implemented policies to combat the spread of misinformation about Covid.However, the online ecosystem is still full of health myths, hoaxes, and fake news that-either consciously or unconsciously-is propagated by social media users with different purposes, messages that can lead to attitudinal and behavioral changes which might result in inadequate health decision making Methods: We use Twitter Stream API to collect tweets about Covid-19 during the early outbreak.Then we filtered those tweets with hashtags related to three infodemic topics: 5g, bill gates, UV and hydroxychloroquine.Then, we use Botometer to obtain the probability that each account is a bot or not.We use bot classification along with network analysis (Louvain community detection) to delve into the subtopics and the use of hashtags.

Results:
The resulting data collection contains 14M tweets from 285K of different Twitter accounts.We selected only tweets written in English.Regarding 5G, the most important communities link China with the virus, are about ''democratshateamerica'' or conspiracy theories.Tweets about Bill Gates contain hashtags about Trump, America, or mention the batflu.Communities related with UV are about Trump disinfectant, or pointing out that tv channels spread fake news.Those tweets that mention hydroxychloroquine mostly contain hashtags that mention qanon or maga content.

Conclusions:
In this paper, we analyze the use of hashtags by accounts classified as bots.Using Louvain community detection we identify co-occurring hashtags.Using social network analysis we identify which hashtags are the most important within the conversation.

Key messages:
We identify several communities around most important infodemic topics.Bots activity in most of the cases is about political content than spreading health misinformation.This method allows to find subtopics based on the use of hashtags.Which allow public health policies to prevent the spread of infodemics.
Abstract citation ID: ckac131.173Mapping core characteristics of internet-based tools to maintain and improve population health

Laura Maass
L Maass 1,2,3 , M Freye 2,4 , CC Pan The study's protocol was published in March 2022 inJMIR Research Protocols (DOI 10.2196/33404).We searched five databases (PubMed, Web of Science, CENTRAL, Ieee, and ACM) for publications.Given the broad search string, we retrieved 13,869 results screened for eligibility.A total of 1,429 publications were included for full-text screening.The study showed that the terms for specific interventions are related to the context in which they are used.Scandinavian countries displayed a different understanding of electronic health records (EHRs) than South American countries.We also identified that the separation between digital health and digital public health is blurry in praxis.Although interventions such as EHRs target individuals to improve their health, the