National Electronic Health Record Systems and Consent to Processing of Health Data in the European Union and Australia

2019 ◽  
pp. 83-99
Author(s):  
Danuta Mendelson
Keyword(s):  
European Union ◽  
Electronic Health Record ◽  
Health Data ◽  
Health Record ◽  
The European Union ◽  
Electronic Health

scholarly journals Data protection issues in cross-border interoperability of Electronic Health Record systems within the European Union

Data & Policy ◽  
2020 ◽  
Vol 2 ◽  
Author(s):  
Giorgia Bincoletto
Keyword(s):  
European Union ◽  
Electronic Health Record ◽  
Data Protection ◽  
Digital Health ◽  
Health Record ◽  
The European Union ◽  
General Data Protection Regulation ◽  
Cross Border ◽  
General Data ◽  
Electronic Health

Abstract This study investigates the data protection concerns arising in the context of the cross-border interoperability of Electronic Health Record (EHR) systems in the European Union. The article first introduces the policies on digital health and examines the related interoperability issues. Second, the work analyses the latest Recommendation of the European Commission on this topic. Then, the study discusses the rules and the obligations settled by the General Data Protection Regulation to be taken into account when developing interoperable EHRs. According to the data protection by design and by default provision, EHR systems should be designed ex ante to guarantee data protection rules.

A Migration Methodology from Legacy to New Electronic Health Record based OpenEHR

2019 ◽  
Vol 10 (1) ◽  
pp. 55-75 ◽  
Author(s):  
Fadoua Khennou ◽  
Nour El Houda Chaoui ◽  
Youness Idrissi Khamlichi
Keyword(s):  
Electronic Health Record ◽  
Level Scheme ◽  
Reference Model ◽  
Critical Issue ◽  
Health Data ◽  
Health Record ◽  
Integration Process ◽  
Flexible Modeling ◽  
Health Practitioners ◽  
Electronic Health

Nowadays, having an electronic health record properly adopted by medical bodies is no longer a challenge. In fact, the critical issue for health practitioners is related to the exchange of health data between different institutes. While some existing standards provide interoperability for e-health systems, they still not offer a coherent solution that can be integrated and used easily. In this author, the paper present OpenEHR, a consistent health standard based on the dual-level scheme, which separates the reference model from the archetypes, allowing a flexible modeling of clinical concepts. However, getting into OpenEHR implementation can be very complex. The purpose of this article is to simplify the integration of OpenEHR, by introducing a stepwise methodology of the migration from legacy SQL-based EHR to an interoperable OpenEHR based NoSQL oriented document model. Successful consolidation was achieved through the deployment of metadata and mapping rules in Java environment project, which allowed a practical automation of the interoperability integration process.

scholarly journals Patient generated health data and electronic health record integration in oncologic surgery: A call for artificial intelligence and machine learning

2020 ◽  
Vol 123 (1) ◽  
pp. 52-60
Author(s):  
Laleh G. Melstrom ◽  
Andrei S. Rodin ◽  
Lorenzo A. Rossi ◽  
Paul Fu ◽  
Yuman Fong ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Electronic Health Record ◽  
Health Data ◽  
Health Record ◽  
Oncologic Surgery ◽  
Electronic Health

scholarly journals Exploring the potential of online self-reported and routinely collected electronic healthcare record data in self-harm research

2020 ◽  
Author(s):  
◽  
Amanda Marchant
Keyword(s):  
Cohort Study ◽  
Electronic Health Record ◽  
National Survey ◽  
Health Data ◽  
Data Sources ◽  
Health Record ◽  
Healthcare Data ◽  
Research Register ◽  
Self Harm ◽  
Electronic Health

Background:Self-harm is a major public health concern and is a leading cause of death from injury. Reaching participants for self-harm research raises a number of challenges, however an opportunity exists in the use of both the internet for data collection and in the use of routinely collected healthcare data.Aims and objectives:The aim of this project was to explore the potential of both online and routinely collected healthcare data for self-harm research and the way in which these data sources can be brought together.Methods:This thesis represents a series of projects exploring the use of various data sources for self-harm research. The first was the development and piloting of an online platform (SHARE UK) for self-harm research. This website incorporated multiple functions: hosting questionnaires; sign-up for a research register; sign-up for linkage with routinely collected data and uploads to a media databank. Next a national survey was conducted to explore young people’s perspectives on the use of both online and healthcare data for self-harm research. Lastly a population level electronic health record cohort study analysing trends over time and contacts across healthcare services was conducted.Results:Participants engaged well with research online: 498 participants signed up to the SHARE UK platform; of whom 85% signed up for the research register. Sixty-two participants uploaded 95 items to the media databank. Alternative formats are discussed. Only 15% of participants consented for linkage with healthcare data. A total of 2,733 young people aged 10-24 who self-harm completed the national survey. Results demonstrated that the necessity for participants to give their address for linkage poses a significant barrier. Opinions around the use of Big Data, encompassing social media, marketing and health data are explored.A total of 937,697 individuals aged 10-24 provided 5,269,794 person years of data from 01.01.2003 to 20.09.2015 to the electronic health record cohort study. Self-harm incidence was highest in primary care. Males preferentially present to emergency departments. Male are less likely than females to be admitted following attendance. This difference persists in the youngest age groups and for self-poisoning. Analysis supports the importance of non-specialist services.Conclusions:This thesis has explored both online and routinely collected healthcare data and their utility for self-harm research, exploring participant views and issues via a national survey. An online platform for self-harm research was successfully piloted and issues identified. This series of projects explores possibilities for future self-harm research. The use of multiple data sources allows research to represent both those in the community and those presenting to healthcare settings, lowering many of the barriers to participating in self-harm research. The future utility of the SHARE UK platform through its collaboration with the Adolescent Mental Health Data Platform (ADP) is discussed. Results of this series of projects will be used to inform the development of this platform with lessons learnt from the pilot addressed and findings from both the national survey and the electronic health record cohort study informing and shaping future research.

scholarly journals Analysis of Employee Patient Portal Use and Electronic Health Record Access at an Academic Medical Center

2020 ◽  
Vol 11 (03) ◽  
pp. 433-441 ◽  
Author(s):  
Lina Sulieman ◽  
Bryan Steitz ◽  
S. Trent Rosenbloom
Keyword(s):  
Electronic Health Record ◽  
Medical Center ◽  
Academic Medical Center ◽  
Health Data ◽  
Health Record ◽  
Patient Portal ◽  
Patient Portals ◽  
Clinical Notes ◽  
Usage Patterns ◽  
Electronic Health

Abstract Background Patient portals provide patients and their caregivers online access to limited health results. Health care employees with electronic health record (EHR) access may be able to view their health information not available in the patient portal by looking in the EHR. Objective In this study, we examine how employees use the patient portal when they also have access to the tethered EHR. Methods We obtained patient portal and EHR usage logs corresponding to all employees who viewed their health data at our institution between January 1, 2013 and November 1, 2017. We formed three cohorts based on the systems that employees used to view their health data: employees who used the patient portal only, employees who viewed health data in the EHR only, and employees who used both systems. We compared system accesses and usage patterns for each employee cohort. Results During the study period, 35,172 employees accessed the EHR as part of patients' treatment and 28,631 employees accessed their health data: 25,193 of them used the patient portal and 13,318 accessed their clinical data in EHR. All employees who accessed their records in the EHR viewed their clinical notes at least once. Among EHR accesses, clinical note accesses comprised more than 42% of all EHR accesses. Provider messaging and appointment scheduling were the most commonly used functions in the patient portal. Employees who had access to their health data in both systems were more likely to engage with providers through portal messages. Conclusion Employees at a large medical center accessed clinical notes in the EHR to obtain information about their health. Employees also viewed other health data not readily available in the patient portal.

Sign in / Sign up

Export Citation Format

Share Document