Austria’s Path Toward Nationwide Electronic Health Records

2008 ◽  
Vol 47 (02) ◽  
pp. 117-123 ◽  
Author(s):  
G. Duftschmid ◽  
L. Gerhold ◽  
W. Gall ◽  
J. Gambal ◽  
W. Dorda
Keyword(s):  
Data Exchange ◽  
Healthcare Reform ◽  
National Level ◽  
Health Record ◽  
Strong Impact ◽  
Health Records ◽  
National Initiative ◽  
Electronic Health ◽  
Definition Of ◽  
Practical Recommendations

Summary Objectives: This article discusses current planning activities in Austria after legislation has been passed to introduce the electronic health record (EHR). Methods: After describing similar activities in several other countries, the authors explore the current situation of healthcare telematics and imminent steps toward the implementation of a lifelong EHR. Results: Substantial efforts have been made to coordinate healthcare telematics in Austria since the mid-1990s. One result of these efforts was the definition of a framework for electronic data exchange. A number of standardization projects were also implemented. Major steps have been taken as part of an ongoing healthcare reform to promote the use of healthcare telematics. One important example is a national initiative whose objective is to implement the EHR. This initiative is extensively discussed along with other national activities related to healthcare telematics. Conclusion: This EHR initiative has prepared the ground for extensive planning that is currently under way to implement a lifelong EHR in Austria on a national level. Introducing the EHR will have a strong impact on Austrian healthcare and should be performed in concert with international activities. The authors offer a number of practical recommendations for the implementation of an EHR on a national level.

scholarly journals A Proposed Electronic Health Record Content Structure Based on Clinical Organizations Survey

2014 ◽  
Vol 15 (13) ◽  
pp. 5233-5246 ◽  
Author(s):  
Dr. Ayman E. Khedr ◽  
Fahad Kamal Alsheref
Keyword(s):  
Data Structure ◽  
Electronic Health Records ◽  
Electronic Health Record ◽  
Clinical Data ◽  
Data Exchange ◽  
Medical Information System ◽  
Health Record ◽  
Medical Organization ◽  
Health Records ◽  
Electronic Health

Computer systems and communication technologies made a strong and influential presence in the different fields of medicine. The cornerstone of a functional medical information system is the Electronic Health Records (EHR) management system. Several electronic health records systems were implemented in different states with different clinical data structures that prevent data exchange between systems even in the same state. This leads to the important barrier in implementing EHR system which is the lack of standards of EHR clinical data structure. In this paper we made a survey on several in international and Egyptian medical organization for implementing electronic health record systems for finding the best electronic health record clinical data structure that contains all patient’s medical data. We proposed an electronic health record system with a standard clinical data structure based on the international and Egyptian medical organization survey and with avoiding the limitations in the other electronic health record that exists in the survey.

EEMI - An Electronic Health Record for Pediatricians

2020 ◽  
pp. 614-628
Author(s):  
Juan C. Lavariega ◽  
Roberto Garza ◽  
Lorena G Gómez ◽  
Victor J. Lara-Diaz ◽  
Manuel J. Silva-Cavazos
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Data Sharing ◽  
Medical Records ◽  
Data Exchange ◽  
Data Representation ◽  
Health Record ◽  
Health Records ◽  
Health Area ◽  
Electronic Health

The use of paper health records and handwritten prescriptions are prone to preset errors of misunderstanding instructions or interpretations that derive in affecting patients' health. Electronic Health Records (EHR) systems are useful tools that among other functions can assists physicians' tasks such as finding recommended medicines, their contraindications, and dosage for a given diagnosis, filling prescriptions and support data sharing with other systems. This paper presents EEMI, a Children EHR focused on assisting pediatricians in their daily office practice. EEMI functionality keeps the relationships among diagnosis, treatment, and medications. EEMI also calculates dosages and automatically creates prescriptions which can be personalized by the physician. The system also validates patient allergies. This paper also presents the current use of EHRs in Mexico, the Mexican Norm (NOM-024-SSA3-2010), standards for the development of electronic medical records and its relationships with other standards for data exchange and data representation in the health area.

LinkEHR

2013 ◽  
pp. 45-58
Author(s):  
José Alberto Maldonado ◽  
Diego Boscá ◽  
David Moner ◽  
Montserrat Robles
Keyword(s):  
Electronic Health Record ◽  
Clinical Data ◽  
Data Exchange ◽  
Formal Semantics ◽  
Automatic Generation ◽  
Healthcare Sector ◽  
Health Record ◽  
Electronic Health ◽  
Definition Of ◽  
High Level

Normalization of data is a prerequisite to achieve semantic interoperability in any domain. This is even more important in the healthcare sector due to the special sensitivity of medical data: data exchange must be done in a meaningful way, avoiding any possibility of misunderstanding or misinterpretation. In this chapter, we present the LinkEHR system for clinical data standardization and exchange. The LinkEHR platform provides tools that simplify meaningful sharing of electronic health records between different systems and organizations. Key contributions of LinkEHR are the development of a powerful medical concept, expressed in the form of archetypes, editing framework based on formal semantics capable of handling multiple electronic health record architectures, the definition of high-level non-procedural mappings to describe the relationship between archetype and legacy clinical data and the semi-automatic generation of XQuery scripts that transform legacy data into XML documents compliant with the underlying electronic health record data architecture and at the same time satisfy the constraints imposed by the archetype.

EEMI – An Electronic Health Record for Pediatricians

2020 ◽  
pp. 249-264
Author(s):  
Juan C. Lavariega ◽  
Roberto Garza ◽  
Lorena G Gómez ◽  
Victor J. Lara-Diaz ◽  
Manuel J. Silva-Cavazos
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Data Sharing ◽  
Medical Records ◽  
Data Exchange ◽  
Data Representation ◽  
Health Record ◽  
Health Records ◽  
Health Area ◽  
Electronic Health

The use of paper health records and handwritten prescriptions are prone to preset errors of misunderstanding instructions or interpretations that derive in affecting patients' health. Electronic Health Records (EHR) systems are useful tools that among other functions can assists physicians' tasks such as finding recommended medicines, their contraindications, and dosage for a given diagnosis, filling prescriptions and support data sharing with other systems. This paper presents EEMI, a Children EHR focused on assisting pediatricians in their daily office practice. EEMI functionality keeps the relationships among diagnosis, treatment, and medications. EEMI also calculates dosages and automatically creates prescriptions which can be personalized by the physician. The system also validates patient allergies. This paper also presents the current use of EHRs in Mexico, the Mexican Norm (NOM-024-SSA3-2010), standards for the development of electronic medical records and its relationships with other standards for data exchange and data representation in the health area.

EEMI - An Electronic Health Record for Pediatricians

2016 ◽  
Vol 11 (3) ◽  
pp. 57-69 ◽  
Author(s):  
Juan C. Lavariega ◽  
Roberto Garza ◽  
Lorena G Gómez ◽  
Victor J. Lara-Diaz ◽  
Manuel J. Silva-Cavazos
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Data Exchange ◽  
Data Representation ◽  
Health Record ◽  
Health Records ◽  
Health Area ◽  
Electronic Health

The use of paper health records and handwritten prescriptions are prone to preset errors of misunderstanding instructions or interpretations that derive in affecting patients' health. Electronic Health Records (EHR) systems are useful tools that among other functions can assists physicians' tasks such as finding recommended medicines, their contraindications, and dosage for a given diagnosis, filling prescriptions and support data sharing with other systems. This paper presents EEMI, a Children EHR focused on assisting pediatricians in their daily office practice. EEMI functionality keeps the relationships among diagnosis, treatment, and medications. EEMI also calculates dosages and automatically creates prescriptions which can be personalized by the physician. The system also validates patient allergies. This paper also presents the current use of EHRs in Mexico, the Mexican Norm (NOM-024-SSA3-2010), standards for the development of electronic medical records and its relationships with other standards for data exchange and data representation in the health area.

scholarly journals Adoption of unified electronic health record in Saudi Arabia: The residents perspective

2021 ◽  
Vol 8 (5) ◽  
pp. 14-19
Author(s):  
Muteb H. Alshammari ◽  
Keyword(s):  
Saudi Arabia ◽  
Electronic Health Record ◽  
National Level ◽  
Primary Data ◽  
Survey Method ◽  
Health Record ◽  
Global Level ◽  
Health Records ◽  
Electronic Health ◽  
The Government

The government of Saudi Arabia has been working on the development of eHealth in the country which includes, the move from paper-based health records to Electronic Health Records (EHR). But, the implementation of EHR in the country is not much progressed. The present paper aims to measure adopting a unified electronic health record in Saudi Arabia from the resident's perspective. The descriptive study was conducted by the survey method in Saudi Arabia. The primary data was collected using a structured questionnaire. Self-administered online questionnaires were distributed to 300 respondents in various provinces via social media over a period of three months. The study used a Convenient Sampling technique and received 158 valid questionnaires from the respondents with a response rate of 58.66%. The data were analyzed using SAS version 0.4. The results show that 98.07% of the male participants and 88.88% of the female respondents were expressed their acceptance towards the adoption of EHR at the national level, whereas 68.26% of the male and 66.66% of the female respondents were expressed their acceptance at the global level. The study conducted the Logistic Regression and found no statistically significant differences between the gender, region, and education level of the respondents and acceptance of adoption of unified EHR at the national and global level. The study found that Saudi Arabia residents are supporting the adoption of unified EHR at both national and global levels. The findings are useful for policymakers to understand the people’s perceptions about the adoption of unified EHR in the country.

Electronic Health Records Implementation in Jordan: Perceptions of Healthcare Providers and Determinant Factors (Preprint)

2020 ◽  
Author(s):  
Tamadur Shudayfat ◽  
Çağdaş Akyürek ◽  
Noha Al-Shdayfat ◽  
Hatem Alsaqqa
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Healthcare Providers ◽  
Health Record ◽  
Health Records ◽  
Context Factors ◽  
Electronic Health ◽  
Acceptance Model

BACKGROUND Acceptance of Electronic Health Record systems is considered an essential factor for an effective implementation among the Healthcare providers. In an attempt to understand the healthcare providers’ perceptions on the Electronic Health Record systems implementation and evaluate the factors influencing healthcare providers’ acceptance of Electronic Health Records, the current research examines the effects of individual (user) context factors, and organizational context factors, using Technology Acceptance Model. OBJECTIVE The current research examines the effects of individual (user) context factors, and organizational context factors, using Technology Acceptance Model. METHODS A quantitative cross-sectional survey design was used, in which 319 healthcare providers from five public hospital participated in the present study. Data was collected using a self-administered questionnaire, which was based on the Technology Acceptance Model. RESULTS Jordanian healthcare providers demonstrated positive perceptions of the usefulness and ease of use of Electronic Health Record systems, and subsequently, they accepted the technology. The results indicated that they had a significant effect on the perceived usefulness and perceived ease of use of Electronic Health Record, which in turn was related to positive attitudes towards Electronic Health Record systems as well as the intention to use them. CONCLUSIONS User attributes, organizational competency, management support and training and education are essential variables in predicting healthcare provider’s acceptance toward Electronic Health records. These findings should be considered by healthcare organizations administration to introduce effective system to other healthcare organizations.

scholarly journals Towards Semantic Interoperability for Electronic Health Records

2007 ◽  
Vol 46 (03) ◽  
pp. 332-343 ◽  
Author(s):  
P. Knaup ◽  
E. J. S. Hovenga ◽  
S. Heard ◽  
S. Garde
Keyword(s):  
Electronic Health Records ◽  
Domain Knowledge ◽  
Semantic Interoperability ◽  
Health Records ◽  
Face To Face ◽  
Telephone Interviews ◽  
Development Organisation ◽  
Knowledge Governance ◽  
Electronic Health ◽  
Definition Of

Summary Objectives: In the field of open electronic health records (EHRs), openEHR as an archetype-based approach is being increasingly recognised. It is the objective of this paper to shortly describe this approach, and to analyse how openEHR archetypes impact on health professionals and semantic interoperability. Methods: Analysis of current approaches to EHR systems, terminology and standards developments. In addition to literature reviews, we organised face-to-face and additional telephone interviews and tele-conferences with members of relevant organisations and committees. Results: The openEHR archetypes approach enables syntactic interoperability and semantic interpretability – both important prerequisites for semantic interoperability. Archetypes enable the formal definition of clinical content by clinicians. To enable comprehensive semantic interoperability, the development and maintenance of archetypes needs to be coordinated internationally and across health professions. Domain knowledge governance comprises a set of processes that enable the creation, development, organisation, sharing, dissemination, use and continuous maintenance of archetypes. It needs to be supported by information technology. Conclusions: To enable EHRs, semantic interoperability is essential. The openEHR archetypes approach enables syntactic interoperability and semantic interpretability. However, without coordinated archetype development and maintenance, ‘rank growth’ of archetypes would jeopardize semantic interoperability. We therefore believe that openEHR archetypes and domain knowledge governance together create the knowledge environment required to adopt EHRs.

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